Jobs — Business Intelligence Analysts

Business Intel Engineer I, Network Design Planning & Engineering (NDPE)

Amazon · Bellevue, WA

Entry-level Bachelor's

2026-06-04

WA 2026-06-04

Requirements

2+ years of data analysis using tools such as Excel, Pivot Tables, SQL, Tableau, or equivalent experience
Experience using BI tools (e.g., Tableau, Adobe) to visualize data
Experience with a variety of digital workflows
Experience defining requirements and using data and metrics to draw business insights

Preferred

Bachelor's degree or advanced studies in a quantitative field (engineering, economics, math, and statistics)
Knowledge of data warehousing and data modeling
Experience with various statistical techniques (regression analysis, coefficient correlation)

Responsibilities

Partner with teammates across product, science, and engineering to understand what questions the business needs answered - then design and deliver the data solutions to answer them.
Build and maintain interactive dashboards and visualizations that track how the transportation network is performing.
Create and manage the automated data workflows that feed reports and analytical tools, ensuring accuracy and reliability.
Conduct deep-dive analyses into operational performance, uncover root causes of issues, and recommend improvements backed by data.
Proactively look for ways to make existing reports and dashboards faster, more accurate, and easier to use.
Analyze historical trends to surface insights that support planning and forecasting decisions.
Respond to time-sensitive requests with clear, well-structured analysis.
As a Business Intelligence Engineer I, you'll support product, science, and engineering teams by building reports, dashboards, and data pipelines that help monitor and improve the performance of Amazon's outbound transportation network. Your day may include gathering requirements from stakeholders, developing SQL queries, validating data accuracy, and visualizing trends that inform operational decisions. You'll contribute to team goals by digging into data to answer key business questions, identifying anomalies, and sharing insights that support planning and forecasting efforts. With guidance from senior team members, you'll continue to grow your technical skills and business acumen in a collaborative, fast-paced environment.

View full posting on CareerOneStop → ID: 2c8c16f359ad

Business Intelligence Engineer, Ad Sales Finance Analytics

Amazon · Seattle, WA

Mid-level

2026-06-04

WA 2026-06-04

Requirements

4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
1+ years of SQL, ETL or Oracle experience
4+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions - Own the forecasting model for IX countries and enhance the existing model to align with sales calls while minimizing forecasting errors. - Make recommendations for new metrics, techniques, and strategies to improve team performance and measurement in the future - Define the data elements and data structure that our team should leverage to enable analytical and reporting capabilities for our business development team - Design and influence operational best practices for reporting and analytics to enable the team to scale - Prepare and deliver business reviews to the senior management team regarding progress and roadblocks - Work with engineering and the data warehouse to enable the appropriate capture and storage of key data points - Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format - Participate in strategic & tactical planning discussions
Your day will be a dynamic blend of data exploration, strategic problem-solving, and cross-functional collaboration. You'll dive deep into complex data landscapes, crafting visualizations and models that reveal hidden patterns and opportunities for Amazon's advertising platforms.

View full posting on CareerOneStop → ID: 1ad3d222c542

Business Intelligence Engineer, AWS Regions Finance

Amazon · Seattle, WA

Mid-level Bachelor's

2026-06-04

WA 2026-06-04

Requirements

5+ years of SQL, ETL or Oracle experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Bachelor's degree or equivalent in Finance, Business, Economics, Mathematics, or other highly quantitative fields
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Work with business customers to gather requirements and deliver complete data analytical solutions
Learn why customers are asking for data and what their underlying questions and business goals are
Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions
Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation
Drive data democratization throughout the organization, enabling others to self-serve their data needs

View full posting on CareerOneStop → ID: 21f1932c7656

Business Intelligence Engineer, Denied Party Screening

Amazon · Seattle, WA

Mid-level

2026-06-04

WA 2026-06-04

Requirements

5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Interface with business customers to gather requirements, drive reporting or analytic projects to help solve complex challenges.
Design, implement, and support datasets that provide structured data for reporting and analysis.
Develop reports and dashboards across various business teams to drive adoption and increase visibility into key measures of business performance.
Analyze billions of rows of data to find the root causes behind variances and drive business insights.
Investigate and implement new big data technologies to provide automatic resolutions to address business needs.
The successful candidate will demonstrate good business acumen, experience in developing reports and conducting analysis, strong technical skills and communication skills, an ability to work effectively cross functional teams, and an ability to work in an ever-changing environment.

View full posting on CareerOneStop → ID: 635573923e2b

Business Intelligence Engineer, Rapid & Rural Logistics (R2L) Science & AI

Amazon · Bellevue, WA

Mid-level

2026-06-04

WA 2026-06-04

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

As a BIE II on our team, you will sit at the intersection of data, science, and product - owning end-to-end analytics solutions from ambiguous problem spaces to deployed insights. You'll design scalable data models, build high-quality datasets, and partner closely with Data Scientists and System Development Engineers to integrate predictive models and AI agents into business workflows. This role goes beyond dashboards: you'll share how AI is used in production, evaluate model performance, and ensure outputs are accurate, explainable, and actionable.
Key responsibilities include developing performant ETL pipelines, defining metrics and experimentation frameworks, and building intuitive reporting layers that surface both descriptive and predictive insights.
We're looking for someone who is equally comfortable writing complex SQL, thinking statistically about data, and collaborating on AI-driven solutions. If you're excited about building the next generation of data + AI agents/systems that directly impact operations, this role offers high ownership and visibility.

View full posting on CareerOneStop → ID: 7f57f1f82e2a

Business Intelligence Engineer, Tools & Automation, WW Engineering & Innovation

Amazon · Bellevue, WA

Mid-level

2026-06-04

WA 2026-06-04

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Build and maintain dashboards, tools, and platforms that serve VP/SVP-level executives
Translate PM-defined requirements into scalable technical solutions
Design data architecture connecting leadership level team portfolios to org-level views
Own the full build lifecycle: requirements intake ? design ? build ? deploy ? iterate
Automate manual reporting processes currently done in Excel
Evaluate existing tools and build integrations or replacements
Maintain and iterate on all platforms post-launch based on PM feedback and evolving needs
Document technical architecture and create runbooks for platform maintenance

View full posting on CareerOneStop → ID: cba65ba29f72

Associate, Marketing Business Intelligence

Humana · Olympia, WA

Entry-level Bachelor's

2026-06-04

WA 2026-06-04

Requirements

Bachelor's degree or higher in Information Systems, Data Analytics, related field, or equivalent related professional experience
2+ years of experience with Power BI and familiarity with DAX for creating calculated columns, measures, and custom logic within Power BI reports
Advanced experience with SQL and data modeling concepts
Proven ability to troubleshoot data pipeline issues and proactively identify and resolve data quality problems to ensure reliable, accurate, and timely reporting
Experience in data preparation tasks such as cleansing, validation, and transformation to support accurate reporting
Strong grasp of data governance principles, including documentation, version control, and meta data management

Preferred

Experience in healthcare or other regulated industries
Knowledge of HIPAA and data privacy standards
Exposure to marketing or operational reporting environments
Familiarity with Databricks, Snowflake
Experience with performance tracking and KPI development
*Additional Information
*Preferred Locations: Arlington, VA; Louisville, KY; Atlanta, GA; Boston, MA; Chicago, IL; New York, NY; Tampa, FL, Nashville, TN, Dallas, TX, Seattle, WA, Denver, CO, and Fort Lauderdale, FL. The associate selected for this role should anticipate periodic in-office work to support collaboration, key team meetings, and leadership engagement. _Remote options will be considered based on role needs and candidate experience_
To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested
Satellite, cellular and microwave connection can be used only if approved by leadership
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Humana offers a variety of benefits to promote the best health and well-being of our employees and their families. We design competitive and flexible packages to give our employees a sense of financial security-both today and in the future, including:
Health benefits effective day 1
Paid time off, holidays, volunteer time and jury duty pay
Recognition pay
401(k) retirement savings plan with employer match
Tuition assistance
Scholarships for eligible dependents
Parental and caregiver leave
Employee charity matching program
Network Resource Groups (NRGs)
Career development opportunities
*Our Hiring Process
As part of our hiring process for this opportunity, we may contact you via text message and email to gather more information using a software platform called HireVue. HireVue Text, Scheduling and Video technologies allow you to interact with us at the time and location most convenient for you.
If you are selected to move forward from your application prescreen, you may receive correspondence inviting you to participate in a pre-recorded Voice, Text Messaging and/or Video interview. Your recorded interview will be reviewed and you will subsequently be informed if you will be moving forward to next round of interviews.
If you have additional questions regarding this role posting and are an Internal Candidate, please send them to the Ask A Recruiter persona by visiting go/Buzz and searching Ask A Recruiter! Please be sure to provide the requisition number so we may be able to research your request quicker.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

View full posting on CareerOneStop → ID: 245eb1aa3ddc

Business Intelligence & Sales Enablement Lead

Humana · Olympia, WA

Senior Master's

2026-06-04

WA 2026-06-04

Requirements

Bachelor's Degree
7+ years in Project Management, Process management or Business transformation.
5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Responsibilities

*CRM Strategy & Optimization
Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
*Content Management & Strategy
Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
Lead vendor management and stewardship engagement with our enablement vendors to
Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
Support Strategic Sales enablement activities as needed.
Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
Partner with leadership on key transformation activities as needed.
Position could Lead 1 or 2 associates.

View full posting on CareerOneStop → ID: 8fc76d8dee3d

Medicaid Business Intelligence Engineer

Humana · Olympia, WA

Mid-level Master's

2026-06-04

WA 2026-06-04

Requirements

2+ years of experience in Python or Pyspark
2+ years of experience in Jupyter Notebook environment
2+ years of experience in Databricks Platform
2+ years of experience in Microsoft PowerBI or other data visualization software
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care
Experience in Medicaid
Experience in risk adjustment
Experience with data mining and predictive modeling techniques
Ability to use data to drive business outcomes and decisions
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
*Additional Information

View full posting on CareerOneStop → ID: e7d3e7988b3e

Business Intelligence & Sales Enablement Lead

Humana · Boise, ID

Senior Master's

2026-06-04

ID 2026-06-04

Requirements

Bachelor's Degree
7+ years in Project Management, Process management or Business transformation.
5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Responsibilities

*CRM Strategy & Optimization
Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
*Content Management & Strategy
Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
Lead vendor management and stewardship engagement with our enablement vendors to
Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
Support Strategic Sales enablement activities as needed.
Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
Partner with leadership on key transformation activities as needed.
Position could Lead 1 or 2 associates.

View full posting on CareerOneStop → ID: cb1a55a930b6

Medicaid Business Intelligence Engineer

Humana · Boise, ID

Mid-level Master's

2026-06-04

ID 2026-06-04

Requirements

2+ years of experience in Python or Pyspark
2+ years of experience in Jupyter Notebook environment
2+ years of experience in Databricks Platform
2+ years of experience in Microsoft PowerBI or other data visualization software
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care
Experience in Medicaid
Experience in risk adjustment
Experience with data mining and predictive modeling techniques
Ability to use data to drive business outcomes and decisions
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
*Additional Information

View full posting on CareerOneStop → ID: 66930b4edbcd

Pharmacy Benefits Data Analyst - St. Luke's Health Plan

St. Luke's Health System · Boise, ID

Mid-level Bachelor's

2026-06-04

ID 2026-06-04

Requirements

Education: Bachelor's Degree or experience in lieu of degree
Experience: Two (2) years' relevant experience
At St. Luke's, caring for people in the communities we serve is our mission - and this includes our own SLHS team. We offer a robust benefits package to support our teams both professionally and personally. In addition to a competitive salary and retirement plans, we ensure our team feels supported in their benefits beyond the typical medical, dental, and vision offerings. We care about you and have fantastic financial and physical wellness options, such as: on-site massages, on-site counseling via our Employee Assistance Program, access to the Personify Health Wellness tool, as well as other formal training and career development offerings to ensure you are meeting your career goals.

View full posting on CareerOneStop → ID: bf24c4d056da

Business Intelligence & Sales Enablement Lead

Humana · Salem, OR

Senior Master's

2026-06-04

OR 2026-06-04

Requirements

Bachelor's Degree
7+ years in Project Management, Process management or Business transformation.
5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Responsibilities

*CRM Strategy & Optimization
Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
*Content Management & Strategy
Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
Lead vendor management and stewardship engagement with our enablement vendors to
Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
Support Strategic Sales enablement activities as needed.
Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
Partner with leadership on key transformation activities as needed.
Position could Lead 1 or 2 associates.

View full posting on CareerOneStop → ID: 041313dd9132

Medicaid Business Intelligence Engineer

Humana · Salem, OR

Mid-level Master's

2026-06-04

OR 2026-06-04

Requirements

2+ years of experience in Python or Pyspark
2+ years of experience in Jupyter Notebook environment
2+ years of experience in Databricks Platform
2+ years of experience in Microsoft PowerBI or other data visualization software
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care
Experience in Medicaid
Experience in risk adjustment
Experience with data mining and predictive modeling techniques
Ability to use data to drive business outcomes and decisions
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
*Additional Information

View full posting on CareerOneStop → ID: 1761385017eb

Business Intelligence & Sales Enablement Lead

Humana · Helena, MT

Senior Master's

2026-06-04

MT 2026-06-04

Requirements

Bachelor's Degree
7+ years in Project Management, Process management or Business transformation.
5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Responsibilities

*CRM Strategy & Optimization
Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
*Content Management & Strategy
Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
Lead vendor management and stewardship engagement with our enablement vendors to
Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
Support Strategic Sales enablement activities as needed.
Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
Partner with leadership on key transformation activities as needed.
Position could Lead 1 or 2 associates.

View full posting on CareerOneStop → ID: 532184386f13

Medicaid Business Intelligence Engineer

Humana · Helena, MT

Mid-level Master's

2026-06-04

MT 2026-06-04

Requirements

2+ years of experience in Python or Pyspark
2+ years of experience in Jupyter Notebook environment
2+ years of experience in Databricks Platform
2+ years of experience in Microsoft PowerBI or other data visualization software
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care
Experience in Medicaid
Experience in risk adjustment
Experience with data mining and predictive modeling techniques
Ability to use data to drive business outcomes and decisions
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
*Additional Information

View full posting on CareerOneStop → ID: 90159409d9b3

Business Intelligence Engineer, WWGS Retail BI, WWGS Retail BI

Amazon · Seattle, WA

Mid-level

2026-06-03

WA 2026-06-03

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Design and implement automated ETL pipelines, data models, and reporting solutions that transform raw data into actionable insights for grocery retail stakeholders
Build self-service dashboards and analytics tools that enable business teams to monitor performance and make data-driven decisions independently
Develop AI-powered solutions that improve stakeholder access to data and accelerate time-to-insight
Write high-quality SQL to retrieve and analyze complex datasets, understanding which data sources to use and how to join them reliably
Deliver insights that go beyond "what happened" to explain "why" and recommend "what to do next"
Partner cross-functionally to translate ambiguous business requirements into technical solutions
Implement data quality monitoring and documentation practices that maintain trust in analytics outputs
You'll split your time between building scalable analytics infrastructure and partnering directly with stakeholders to answer their most pressing questions. Some days you're deep in code building pipelines or prototyping an AI tool; others you're presenting findings to leadership or whiteboarding a measurement framework with cross-functional partners. You'll balance planned projects with urgent requests, supporting the emergent needs of the business along with contributing to the long-term data vision.

View full posting on CareerOneStop → ID: 20add5035492

CTMS Data Analyst 1

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-06-03

WA 2026-06-03

Requirements

Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field or equivalent combination of education/experience
2+ years' of recent healthcare or IT experience must include the below:
2+ year(s) of experience with end user support in an IT domain
1+ year(s) of experience with application/system configuration and implementation of clinical information systems (and/or healthcare applications)
Familiarity with Oracle and SQL Server database programming, including complex query optimization and performance tuning
Demonstrated experience with formal software engineering practices (e.g. source code version control, validation, deployment, maintaining Microsoft-based applications, etc.)
Basic object-oriented programming skills using an integrated development environment like Visual Studio .NET
Demonstrated experience with requirements gathering and analysis, including direct work with end users or customers
Basic understanding of database design
Demonstrated problem solving and debugging skills
Foundational experience working with multiple APIs
Foundational experience juggling multiple system instances/environments (i.e. test, training, development, and production)
Foundational experience assisting team members and sharing knowledge, with exposure to mentoring others
Familiarity with database structures, data definitions, and data relationships
Recent experience with formal project management methods
Foundational experience supporting small scale enterprise customers, both internal and external
Basic understanding of enterprise change control processes
*UW MEDICINE - WHERE YOUR IMPACT GOES FURTHER
UW Medicine is Washington's only health system that includes a top-rated medical school and an internationally recognized research center. UW Medicine's mission is to improve the health of the public by advancing medical knowledge, providing outstanding primary and specialty care to the people of the region, and preparing tomorrow's physicians, scientists and other health professionals.
All across UW Medicine, our employees collaborate to perform the highest quality work with integrity and compassion and to create a respectful, welcoming environment where every patient, family, student and colleague is valued and honored. Nearly 29,000 healthcare professionals, researchers, and educators work in the UW Medicine family of organizations that includes: Harborview Medical Center, UW Medical Center - Montlake, UW Medical Center - Northwest, UW Medicine Primary Care, UW Physicians, UW School of Medicine, and Airlift Northwest.
Become part of our team (https://www.uwmedicine.org/jobs) . Join our mission to make life healthier for everyone in our community.

Responsibilities

*UW MEDICINE IT SERVICES has an outstanding job opportunity for a CTMS Data Analyst 1 position. (CTMS: OnCore Clinical Trials Management System)
100% FTE - 40 hours per week
Day Shift - UW MEDICINE ITS SERVICES CORE HOURS ARE 08:00 - 17:00 (PST), Monday-Friday
*DEPARTMENT DESCRIPTION
*UW Medicine IT Services (ITS) is a shared services organization that supports all of UW Medicine. UW Medicine is comprised of Harborview Medical Center (HMC), UW Medical Center-Montlake Campus (UWMC-Montlake), UW Medical Center-Northwest Campus (UWMC-NW), UW Medicine Primary Care (UWMPC), UW Physicians (UWP), UW School of Medicine (SOM), and Airlift Northwest (ALNW). ITS is responsible for the ongoing support and maintenance of the infrastructure and applications which support all these institutions, along with the implementation of new services and applications that are used to support and further the UW Medicine mission.
*POSITION HIGHLIGHTS
100% remote opportunity
15 days of vacation your first year - Also, 12 days of sick time, 1 personal holiday, and 11 paid holidays each yea
100% matching, 100% immediately vesting 403(b)
Providing immediate response to basic to intermediate level data-related questions, ad-hoc Tableau and SQL reports, and developing and/or updating business logic reports
Maintaining continuity of data, delivery, and connections
Facilitating timely changes on preexisting logic to provide more immediate availability
Investigating basic to intermediate level data connection issues, prioritizing, and resolving via defined service level agreements
Aligning with larger program office process to deliver services and communicating CTMS Program Office priorities to RIT leadership
Performing tier 1 and lower-end tier 2 support tickets
Participating in Program Office process meetings to fully understand context when working under the advisement of and being mentored by senior analysts

View full posting on CareerOneStop → ID: 5f6251911dd6

Manager, Business Intelligence, Support Products & Services

Amazon · Seattle, WA

Manager

2026-06-03

WA 2026-06-03

Requirements

7+ years of business intelligence and analytics experience
5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
Experience with SQL
Experience with ETL
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

Preferred

4+ years of working with very large data warehousing environment experience
10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
Experience working directly with business stakeholders to translate between data and business needs

Responsibilities

Define long-term analytics vision for SP&S and partner with senior leadership to influence business strategy, roadmaps, and metric standardization through data-driven insights.
Translate ambiguous business problems into scalable analytical frameworks and data solutions enabling high-impact decision-making.
Design and oversee large-scale data models, semantic layers, and distributed systems (S3, Redshift, Spark, EMR, Glue) with strong focus on performance, governance, and data quality.
Apply causal inference, experimentation (A/B testing) etc., models to uncover insights, drive statistical rigor, and influence executive decisions.
Champion best practices (SQL, Python, ETL), drive self-serve and AI-enabled analytics, and mentor/hire BIE/DE talent to build a high-performing data organization.

View full posting on CareerOneStop → ID: beef933bd142

Business Intelligence Program Manager

Oracle · Olympia, WA

Manager Master's

2026-06-03

WA 2026-06-03

Requirements

10+ years of relevant experience in business intelligence, technical program management, analytics, operations, or related disciplines.
Deep technical expertise in data analytics, large-scale data pipelines, SQL, business intelligence platforms, reporting architectures, and data visualization technologies.
BS or MS degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, or a related technical field, or equivalent experience.
Demonstrated success leading highly visible, cross-organizational initiatives that influence business strategy and executive decision-making.
Proven ability to independently represent the organization at the VP and SVP level and effectively communicate complex technical and business concepts to executive audiences.
Strong track record of identifying organization-wide challenges and driving alignment across diverse stakeholder groups to achieve measurable outcomes.
Experience operating within large-scale, globally distributed technology organizations.
Exceptional written and verbal communication skills, including executive presentation and storytelling capabilities.
Strong analytical, problem-solving, and strategic thinking skills with the ability to connect detailed data analysis to broader business objectives.
Demonstrated leadership, influence, negotiation, and stakeholder management skills in highly ambiguous and rapidly evolving environments.
Ability to think broadly, act strategically, and drive execution across organizational boundaries.
Experience mentoring others and establishing best practices in analytics, reporting, and program management.

Preferred

Experience with cloud infrastructure, hyperscale platforms, or large-scale distributed systems.
Familiarity with OCI products, cloud operations, capacity planning, cost management, or infrastructure economics.
Experience driving executive business reviews, operational excellence programs, or enterprise-wide efficiency initiatives.

Responsibilities

Oracle Cloud Infrastructure (OCI) is seeking a highly strategic, data-driven Business Intelligence Program Manager to join our Executive Program Management team. This role is responsible for shaping and driving the data strategy behind organization-wide efficiency, cost optimization, and operational excellence initiatives across Oracle.
As a Business Intelligence Program Manager, you will leverage large-scale data ecosystems to influence executive decision-making, identify transformational business opportunities, and drive programs that deliver measurable impact across Oracle. You will partner closely with senior executives and cross-functional leaders to define key business metrics, establish operational benchmarks, and develop scalable analytical frameworks that support long-term strategic objectives.
We are a team of technical program managers who drive a broad portfolio of cost efficiency programs, tools, and initiatives with significant executive visibility. We focus on surfacing meaningful metrics, automating reporting and insights wherever possible, and using data to guide business decisions. We continuously explore Oracle-wide datasets to uncover new opportunities for optimization, operational improvements, and cost savings. This role offers a unique opportunity to influence Oracle's strategic direction by owning critical portions of the data ecosystem that inform executive-level decisions.
Define and lead business intelligence strategies that support Oracle-wide operational efficiency, cost optimization, and executive decision-making.
Own highly complex analytics initiatives spanning multiple organizations, systems, and datasets, delivering actionable insights that drive measurable business outcomes.
Identify emerging trends, risks, inefficiencies, and opportunities through deep analysis of Oracle-wide data, proactively recommending strategic actions to senior leadership.
Architect and oversee the development of scalable metrics, reporting frameworks, and robust SQL-based data pipelines that serve as foundational sources of truth across the organization.
Serve as a trusted advisor and subject matter expert to senior executives, including VP and SVP leadership, on business performance, operational effectiveness, and strategic planning.
Drive cross-functional alignment among engineering, finance, operations, and business leaders to establish shared metrics, priorities, and accountability models.
Lead the definition of executive-level operational reviews, business health metrics, and performance scorecards.
Develop new analytical approaches, methodologies, and frameworks that improve Oracle's ability to measure performance and identify optimization opportunities at scale.
Champion process improvement initiatives and operational excellence programs that increase organizational efficiency, effectiveness, and productivity.
Influence long-range planning, quarterly business priorities, and strategic investments through data-driven recommendations and executive-level reporting.
Mentor and provide guidance to other program managers and analysts, helping elevate analytical rigor and business intelligence capabilities across the organization.
Drive efforts that improve the efficiency and effectiveness of Oracle leadership and executive management teams.

View full posting on CareerOneStop → ID: fa1fd6f2e58f

Business Intelligence Program Manager

Oracle · Boise, ID

Manager Master's

2026-06-03

ID 2026-06-03

Requirements

10+ years of relevant experience in business intelligence, technical program management, analytics, operations, or related disciplines.
Deep technical expertise in data analytics, large-scale data pipelines, SQL, business intelligence platforms, reporting architectures, and data visualization technologies.
BS or MS degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, or a related technical field, or equivalent experience.
Demonstrated success leading highly visible, cross-organizational initiatives that influence business strategy and executive decision-making.
Proven ability to independently represent the organization at the VP and SVP level and effectively communicate complex technical and business concepts to executive audiences.
Strong track record of identifying organization-wide challenges and driving alignment across diverse stakeholder groups to achieve measurable outcomes.
Experience operating within large-scale, globally distributed technology organizations.
Exceptional written and verbal communication skills, including executive presentation and storytelling capabilities.
Strong analytical, problem-solving, and strategic thinking skills with the ability to connect detailed data analysis to broader business objectives.
Demonstrated leadership, influence, negotiation, and stakeholder management skills in highly ambiguous and rapidly evolving environments.
Ability to think broadly, act strategically, and drive execution across organizational boundaries.
Experience mentoring others and establishing best practices in analytics, reporting, and program management.

Preferred

Experience with cloud infrastructure, hyperscale platforms, or large-scale distributed systems.
Familiarity with OCI products, cloud operations, capacity planning, cost management, or infrastructure economics.
Experience driving executive business reviews, operational excellence programs, or enterprise-wide efficiency initiatives.

Responsibilities

Oracle Cloud Infrastructure (OCI) is seeking a highly strategic, data-driven Business Intelligence Program Manager to join our Executive Program Management team. This role is responsible for shaping and driving the data strategy behind organization-wide efficiency, cost optimization, and operational excellence initiatives across Oracle.
As a Business Intelligence Program Manager, you will leverage large-scale data ecosystems to influence executive decision-making, identify transformational business opportunities, and drive programs that deliver measurable impact across Oracle. You will partner closely with senior executives and cross-functional leaders to define key business metrics, establish operational benchmarks, and develop scalable analytical frameworks that support long-term strategic objectives.
We are a team of technical program managers who drive a broad portfolio of cost efficiency programs, tools, and initiatives with significant executive visibility. We focus on surfacing meaningful metrics, automating reporting and insights wherever possible, and using data to guide business decisions. We continuously explore Oracle-wide datasets to uncover new opportunities for optimization, operational improvements, and cost savings. This role offers a unique opportunity to influence Oracle's strategic direction by owning critical portions of the data ecosystem that inform executive-level decisions.
Define and lead business intelligence strategies that support Oracle-wide operational efficiency, cost optimization, and executive decision-making.
Own highly complex analytics initiatives spanning multiple organizations, systems, and datasets, delivering actionable insights that drive measurable business outcomes.
Identify emerging trends, risks, inefficiencies, and opportunities through deep analysis of Oracle-wide data, proactively recommending strategic actions to senior leadership.
Architect and oversee the development of scalable metrics, reporting frameworks, and robust SQL-based data pipelines that serve as foundational sources of truth across the organization.
Serve as a trusted advisor and subject matter expert to senior executives, including VP and SVP leadership, on business performance, operational effectiveness, and strategic planning.
Drive cross-functional alignment among engineering, finance, operations, and business leaders to establish shared metrics, priorities, and accountability models.
Lead the definition of executive-level operational reviews, business health metrics, and performance scorecards.
Develop new analytical approaches, methodologies, and frameworks that improve Oracle's ability to measure performance and identify optimization opportunities at scale.
Champion process improvement initiatives and operational excellence programs that increase organizational efficiency, effectiveness, and productivity.
Influence long-range planning, quarterly business priorities, and strategic investments through data-driven recommendations and executive-level reporting.
Mentor and provide guidance to other program managers and analysts, helping elevate analytical rigor and business intelligence capabilities across the organization.
Drive efforts that improve the efficiency and effectiveness of Oracle leadership and executive management teams.

View full posting on CareerOneStop → ID: 63ae87326c0d

Data Analyst

Hoffman Construction Company · Boise, ID

Mid-level Bachelor's

2026-06-03

ID 2026-06-03

Requirements

Position Related Skills
Proficient using Power BI, Excel, Smartsheet, and other data analytic tools, with an aptitude for learning new tools.
Proficient in data analysis skills such as data cleaning and preparation, data visualization, mathematical and statistical calculation, dashboarding and reporting.
Proficient with data (semantic) modeling techniques required.
Proficient in both DAX and Smartsheet programming languages.
Practical experience in statistical analysis using statistical packages, including Excel, Power BI, R, Python, and Machine Learning tools.
Experience with Python programming and creating automations, especially within Power BI.
Knowledge of and experience with Generative A.I. tools such as ChatGPT, Claude, MS Copilot, or similar.
Ability to digest disparate data sources and decipher how they can be used to create operational efficiencies and support data-driven decisions.
Ability to communicate complex information to a range of data-literate audiences
Ability to solve problems independently and cooperatively with other team members.
Proficient technical writing experience in relevant areas, including queries, reports, and presentations.
Knowledge of Microsoft Fabric and the medallion structure of data flows is beneficial.
Knowledge of basic software development practices such as Development, Testing, and Production environments is beneficial.
Knowledge of data security concepts and processes is beneficial.
Previous experience in the construction industry is beneficial.
Familiarity with construction management software, such as Procore, is beneficial.
Standing/Walking/Sitting: Workday is a combination of sitting/walking and standing.
Legs: Must be able to climb stairs - 5% of the day.
Hands/Arms: Constant use of hands/fingers for mouse/keyboard/computer use.
Vision: Visual acuity in near, mid, and far-range vision. Color vision, peripheral vision, depth perception, hand/eye coordination.
Hearing: Sufficient to hear conversational levels in person and over the telephone and radio; sufficient to hear alarms on equipment.
Speech: Sufficient to make oneself heard in person, speak in front of groups, and be understood over the telephone and radio.
Lift/Carry: Up to 50lb computer/drawings- minimal.
Bending/Twisting: Minimal.
Kneeling/Crouching/Crawling: Minimal.
Constant mental alertness, accuracy, and attention to detail required.
Must be able to work independently, make decisions, and follow through on all assignments.
Must use creativity, independent judgment, and organizational and problem-solving skills to determine the best method to accomplish desired results.
Must be able to plan and organize work.
Must possess strong organizational and computer use skills and have an elevated level of competency to read/write/speak English, interpret construction related documentation and communicate with coworkers.
Build What Matters. Create What's Next.
Hoffman Construction is a forward-thinking, self-performing builder specializing in technically complex, sustainable projects across advanced technology, mission critical, life sciences, healthcare, higher education, and commercial markets. Since 1922, we've grown from entrepreneurial roots into a multi-billion-dollar, employee-owned enterprise-now a dynamic family of companies with a national presence and a legacy of excellence.
At Hoffman Construction, your potential has room to grow. Whether you're on a jobsite or in a corporate office, you'll be empowered to take initiative, explore new paths, and shape the future of construction. We believe in building opportunity together-by unlocking talent, inspiring innovation, and driving forward the ideas that make a difference.

Education

Bachelor's degree in Information Systems, Data Analytics, Data Science, Information Science/Management, or a related field of study, or equivalent work experience required.
Five (5) + years of professional data analysis and BI reporting experience, including statistical analysis and data science (ML) preferred.
Action-oriented
Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
Readily takes action on challenges
Identifies and seizes new opportunities
Displays a can-do attitude in good and bad times
Steps up to handle tough issues
Manages ambiguity
Operating effectively, even when things are not certain or the way forward is not clea
Deals comfortably with the uncertainty of change
Effectively handles risk
Can decide and act without the total picture
Is calm and productive, even when things are ambiguous
Deals constructively with problems that do not have a clear solution
Building partnerships and working collaboratively with others to meet shared objectives
Works cooperatively with others across the organization to achieve shared objectives
Represents own interests while being fair to others and their areas
Partners with others to get work done
Communicates effectively
Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
Is effective in a variety of communication settings: one-on-one, small and large groups, or among diverse styles and position levels
Attentively listens to others
Adjusts to fit the audience and the message
Provides timely and helpful information to others across the organization
Encourages the open expression of diverse ideas and opinions
Manages complexity
Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
Asks the right questions to accurately analyze situations
Acquires data from multiple and diverse sources when solving problems
Uncovers root causes to difficult problems

Responsibilities

Collaborate with project team members to align analytic and reporting needs with project priorities, leveraging data from multiple platforms.
Participate in the creation and continuous enhancement of reports and dashboards using Power BI, Smartsheet, Excel, or other data reporting tools.
Participate in the creation and continuous enhancement of data analytics tools to promote predictability and operational efficiencies for project teams and corporate entities.
Participate in the creation of semantic models for use in reporting and AI work.
Aggregate and analyze data from diverse sources, ensuring comprehensive insights and synthesis by employing innovative data visualization techniques.
Detect inconsistencies and incorrect data, then locate and rectify the issues.
Oversee the creation and delivery of weekly and monthly reports to internal and external stakeholders, including executives and client representatives.
Serve as the subject matter expert on data, reporting, and analytics tools, including generative AI, keeping abreast of technological advancements and industry trends.
Educate and guide cross-functional teams on leveraging analytics and reporting tools effectively, aligning with project goals.
Foster collaboration across departments to develop data products and tools, defining success metrics and delivering presentations that drive actionable insights and support strategic decision-making.
Determine ways to automate data collection and reporting processes to ensure accurate and timely data updates.
Research and employ Generative AI and ML to create predictive tools and/or determine efficiencies that can be gained using construction data. Verify results.

View full posting on CareerOneStop → ID: 681be5145a5a

Business Intelligence Program Manager

Oracle · Salem, OR

Manager Master's

2026-06-03

OR 2026-06-03

Requirements

10+ years of relevant experience in business intelligence, technical program management, analytics, operations, or related disciplines.
Deep technical expertise in data analytics, large-scale data pipelines, SQL, business intelligence platforms, reporting architectures, and data visualization technologies.
BS or MS degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, or a related technical field, or equivalent experience.
Demonstrated success leading highly visible, cross-organizational initiatives that influence business strategy and executive decision-making.
Proven ability to independently represent the organization at the VP and SVP level and effectively communicate complex technical and business concepts to executive audiences.
Strong track record of identifying organization-wide challenges and driving alignment across diverse stakeholder groups to achieve measurable outcomes.
Experience operating within large-scale, globally distributed technology organizations.
Exceptional written and verbal communication skills, including executive presentation and storytelling capabilities.
Strong analytical, problem-solving, and strategic thinking skills with the ability to connect detailed data analysis to broader business objectives.
Demonstrated leadership, influence, negotiation, and stakeholder management skills in highly ambiguous and rapidly evolving environments.
Ability to think broadly, act strategically, and drive execution across organizational boundaries.
Experience mentoring others and establishing best practices in analytics, reporting, and program management.

Preferred

Experience with cloud infrastructure, hyperscale platforms, or large-scale distributed systems.
Familiarity with OCI products, cloud operations, capacity planning, cost management, or infrastructure economics.
Experience driving executive business reviews, operational excellence programs, or enterprise-wide efficiency initiatives.

Responsibilities

Oracle Cloud Infrastructure (OCI) is seeking a highly strategic, data-driven Business Intelligence Program Manager to join our Executive Program Management team. This role is responsible for shaping and driving the data strategy behind organization-wide efficiency, cost optimization, and operational excellence initiatives across Oracle.
As a Business Intelligence Program Manager, you will leverage large-scale data ecosystems to influence executive decision-making, identify transformational business opportunities, and drive programs that deliver measurable impact across Oracle. You will partner closely with senior executives and cross-functional leaders to define key business metrics, establish operational benchmarks, and develop scalable analytical frameworks that support long-term strategic objectives.
We are a team of technical program managers who drive a broad portfolio of cost efficiency programs, tools, and initiatives with significant executive visibility. We focus on surfacing meaningful metrics, automating reporting and insights wherever possible, and using data to guide business decisions. We continuously explore Oracle-wide datasets to uncover new opportunities for optimization, operational improvements, and cost savings. This role offers a unique opportunity to influence Oracle's strategic direction by owning critical portions of the data ecosystem that inform executive-level decisions.
Define and lead business intelligence strategies that support Oracle-wide operational efficiency, cost optimization, and executive decision-making.
Own highly complex analytics initiatives spanning multiple organizations, systems, and datasets, delivering actionable insights that drive measurable business outcomes.
Identify emerging trends, risks, inefficiencies, and opportunities through deep analysis of Oracle-wide data, proactively recommending strategic actions to senior leadership.
Architect and oversee the development of scalable metrics, reporting frameworks, and robust SQL-based data pipelines that serve as foundational sources of truth across the organization.
Serve as a trusted advisor and subject matter expert to senior executives, including VP and SVP leadership, on business performance, operational effectiveness, and strategic planning.
Drive cross-functional alignment among engineering, finance, operations, and business leaders to establish shared metrics, priorities, and accountability models.
Lead the definition of executive-level operational reviews, business health metrics, and performance scorecards.
Develop new analytical approaches, methodologies, and frameworks that improve Oracle's ability to measure performance and identify optimization opportunities at scale.
Champion process improvement initiatives and operational excellence programs that increase organizational efficiency, effectiveness, and productivity.
Influence long-range planning, quarterly business priorities, and strategic investments through data-driven recommendations and executive-level reporting.
Mentor and provide guidance to other program managers and analysts, helping elevate analytical rigor and business intelligence capabilities across the organization.
Drive efforts that improve the efficiency and effectiveness of Oracle leadership and executive management teams.

View full posting on CareerOneStop → ID: 978332bf76eb

Business Intelligence Program Manager

Oracle · Helena, MT

Manager Master's

2026-06-03

MT 2026-06-03

Requirements

10+ years of relevant experience in business intelligence, technical program management, analytics, operations, or related disciplines.
Deep technical expertise in data analytics, large-scale data pipelines, SQL, business intelligence platforms, reporting architectures, and data visualization technologies.
BS or MS degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, or a related technical field, or equivalent experience.
Demonstrated success leading highly visible, cross-organizational initiatives that influence business strategy and executive decision-making.
Proven ability to independently represent the organization at the VP and SVP level and effectively communicate complex technical and business concepts to executive audiences.
Strong track record of identifying organization-wide challenges and driving alignment across diverse stakeholder groups to achieve measurable outcomes.
Experience operating within large-scale, globally distributed technology organizations.
Exceptional written and verbal communication skills, including executive presentation and storytelling capabilities.
Strong analytical, problem-solving, and strategic thinking skills with the ability to connect detailed data analysis to broader business objectives.
Demonstrated leadership, influence, negotiation, and stakeholder management skills in highly ambiguous and rapidly evolving environments.
Ability to think broadly, act strategically, and drive execution across organizational boundaries.
Experience mentoring others and establishing best practices in analytics, reporting, and program management.

Preferred

Experience with cloud infrastructure, hyperscale platforms, or large-scale distributed systems.
Familiarity with OCI products, cloud operations, capacity planning, cost management, or infrastructure economics.
Experience driving executive business reviews, operational excellence programs, or enterprise-wide efficiency initiatives.

Responsibilities

Oracle Cloud Infrastructure (OCI) is seeking a highly strategic, data-driven Business Intelligence Program Manager to join our Executive Program Management team. This role is responsible for shaping and driving the data strategy behind organization-wide efficiency, cost optimization, and operational excellence initiatives across Oracle.
As a Business Intelligence Program Manager, you will leverage large-scale data ecosystems to influence executive decision-making, identify transformational business opportunities, and drive programs that deliver measurable impact across Oracle. You will partner closely with senior executives and cross-functional leaders to define key business metrics, establish operational benchmarks, and develop scalable analytical frameworks that support long-term strategic objectives.
We are a team of technical program managers who drive a broad portfolio of cost efficiency programs, tools, and initiatives with significant executive visibility. We focus on surfacing meaningful metrics, automating reporting and insights wherever possible, and using data to guide business decisions. We continuously explore Oracle-wide datasets to uncover new opportunities for optimization, operational improvements, and cost savings. This role offers a unique opportunity to influence Oracle's strategic direction by owning critical portions of the data ecosystem that inform executive-level decisions.
Define and lead business intelligence strategies that support Oracle-wide operational efficiency, cost optimization, and executive decision-making.
Own highly complex analytics initiatives spanning multiple organizations, systems, and datasets, delivering actionable insights that drive measurable business outcomes.
Identify emerging trends, risks, inefficiencies, and opportunities through deep analysis of Oracle-wide data, proactively recommending strategic actions to senior leadership.
Architect and oversee the development of scalable metrics, reporting frameworks, and robust SQL-based data pipelines that serve as foundational sources of truth across the organization.
Serve as a trusted advisor and subject matter expert to senior executives, including VP and SVP leadership, on business performance, operational effectiveness, and strategic planning.
Drive cross-functional alignment among engineering, finance, operations, and business leaders to establish shared metrics, priorities, and accountability models.
Lead the definition of executive-level operational reviews, business health metrics, and performance scorecards.
Develop new analytical approaches, methodologies, and frameworks that improve Oracle's ability to measure performance and identify optimization opportunities at scale.
Champion process improvement initiatives and operational excellence programs that increase organizational efficiency, effectiveness, and productivity.
Influence long-range planning, quarterly business priorities, and strategic investments through data-driven recommendations and executive-level reporting.
Mentor and provide guidance to other program managers and analysts, helping elevate analytical rigor and business intelligence capabilities across the organization.
Drive efforts that improve the efficiency and effectiveness of Oracle leadership and executive management teams.

View full posting on CareerOneStop → ID: a5786b664c34

Principal Data Analyst - Revenue Cycle - Remote

Providence · Renton, WA

Senior Bachelor's

2026-06-02

WA 2026-06-02

Requirements

Bachelor's Degree Business, Data Analytics, Mathematics, Economics, Finance, Healthcare Administration, Other Or equivalent educ/experience
7 years A minimum of seven years of progressively responsible experience in data analysis, business intelligence, or analytics roles involving large and complex data sets.
4 years Demonstrated proficiency in SQL, including advanced query development, data modeling, and performance optimization within large relational databases.
5 years Strong skills in MS Office (eg Excel)
2 years Experience working with Epic systems, including Epic Clarity, and the ability to extract, interpret, and analyze data from Epic revenue cycle modules

Preferred

5 years Experience translating analytical findings into actionable insights and presenting results to senior leadership, including Finance and Revenue Cycle executives.
5 years Experience managing multiple concurrent analytical requests, prioritizing work effectively, and delivering high-quality outputs in a fast-paced environment.
5 years Experience identifying metric drivers, conducting root-cause analysis, and developing recommendations to improve operational or financial performance.
3 years Experience working with cross-functional teams, external vendors, and consultants on data requirements, analytical approaches, and solution development.

View full posting on CareerOneStop → ID: a4ff05006aaf

RWD Data Analyst

Norstella · Olympia, WA

Mid-level Bachelor's

2026-06-02

WA 2026-06-02

Requirements

Bachelor's degree in Data Science, Computer Science, Public Health, Biostatistics, Epidemiology, or a related field
2-5 years of hands-on experience with real-world healthcare data, with demonstrated ability to assess source suitability and formulate data-driven recommendations
Comprehensive knowledge of RWD source types - including claims, EHR/EMR, laboratory, and unstructured data - and the ability to articulate appropriate use cases for each
Prior experience investigating unstructured or semi-structured EMR data, including identification of analytically viable variables within complex source formats
Strong proficiency in SQL, including complex multi-table query development; ability to produce and review production-quality extract logic
Demonstrated capacity to formulate and defend analytical decisions - including data selection, exclusion criteria, and edge case handling - grounded in both technical and clinical reasoning
Proficiency with AI-powered development tools (e.g., ChatGPT, Claude), with demonstrated ability to apply these tools to accelerate delivery and address complex analytical challenges
Familiarity with the life sciences industry and the drug development lifecycle
Experience with version control systems in a collaborative development environment
Strong analytical and critical thinking skills, with a demonstrated track record of proactive issue identification and resolution
Ability to manage multiple concurrent projects while sustaining high standards of quality, accuracy, and stakeholder responsiveness

Preferred

Experience working with vendor-delivered data products, including familiarity with delivery formats, data dictionaries, and source-specific quality considerations
Exposure to RWD product development, including participation in decisions regarding data asset design or feature prioritization
Experience translating clinical or scientific documentation into executable database logic
Proficiency with data analysis and pipeline tools such as Python, R, Airflow, or equivalent
Comfort operating within governed, production-oriented data environments
Experience supporting client-facing or downstream data delivery workflows

Responsibilities

Norstella's Real-World Data (RWD) team is seeking a mid-level Data Analyst with demonstrated expertise in real-world healthcare data. This role is designed for an analytically rigorous professional who applies critical thinking to each data engagement - evaluating source suitability, informing methodological decisions, and delivering outputs that reflect both technical precision and clinical reasoning.
The successful candidate will possess a thorough understanding of RWD source types and their respective limitations, and will be expected to make substantive, well-supported recommendations on data selection, inclusion and exclusion criteria, and analytical approach. This individual will serve as a trusted technical resource for internal teams and client-facing stakeholders, translating complex requirements into sound data strategies while proactively identifying risks and driving issues to resolution.
While the role requires strong technical proficiency, candidates are expected to bring a consultative orientation to their work - engaging with client needs, contributing to product decisions, and consistently seeking to improve outcomes rather than simply executing against defined specifications.
*_RWD Expertise & Data Advisory_
Serve as a subject matter expert across real-world data source types, including claims, EHR/EMR, laboratory, and NLP-derived data, with a thorough understanding of the strengths, limitations, and appropriate applications of each
Evaluate client and project requirements to formulate clear, well-reasoned recommendations regarding data source selection, variable construction, and inclusion and exclusion criteria
Advise on vendor data structures and delivery formats, translating source-specific characteristics into actionable guidance for project and delivery teams
Contribute domain expertise to internal product development discussions, identifying opportunities to enhance data offerings in response to evolving industry and client needs
*_Critical Problem Solving & Analytical Decision Making_
Apply structured analytical reasoning to each data engagement, critically evaluating requirements, challenging assumptions where appropriate, and recommending the most defensible analytical path forward
Investigate complex and unstructured data sources - including raw EMR data - to assess fitness for purpose and identify viable analytical signal
Anticipate downstream data quality and delivery risks, proactively surfacing issues and proposing solutions prior to escalation
Leverage AI-powered tools (e.g., ChatGPT, Claude) to enhance development efficiency, support artifact generation, and address non-standard analytical challenges
*_Data Extract Development & Implementation_
Design and develop client-specific data extracts that reflect both the stated specification and a sound, defensible understanding of the underlying data
Translate real-world data requirements into production-quality SQL logic, with attention to accuracy, reproducibility, and long-term maintainability
Develop and maintain database queries and procedures used to extract and structure RWD across multiple data sources
*_Client & Stakeholder Engagement_
Partner with client-facing teams to develop a thorough understanding of client intent, engaging constructively when data limitations require an alternative approach
Communicate data decisions, methodological trade-offs, and analytical assumptions clearly to both technical and non-technical audiences
Manage multiple concurrent project workstreams, maintaining quality and responsiveness across competing priorities
*_Collaboration & Knowledge Sharing_
Collaborate with analytics, engineering, and delivery teams to ensure shared understanding of data logic, source assumptions, and extract methodology
Contribute to shared documentation, standard operating procedures, and team knowledge resources
Participate in team discussions related to data quality, process improvement, and product direction
All other duties as assigned

View full posting on CareerOneStop → ID: b99984e44efa

Principal Data Analyst - Revenue Cycle - Remote

Providence · Portland, OR

Senior Bachelor's

2026-06-02

WA 2026-06-02

Requirements

Bachelor's Degree Business, Data Analytics, Mathematics, Economics, Finance, Healthcare Administration, Other Or equivalent educ/experience
7 years A minimum of seven years of progressively responsible experience in data analysis, business intelligence, or analytics roles involving large and complex data sets.
4 years Demonstrated proficiency in SQL, including advanced query development, data modeling, and performance optimization within large relational databases.
5 years Strong skills in MS Office (eg Excel)
2 years Experience working with Epic systems, including Epic Clarity, and the ability to extract, interpret, and analyze data from Epic revenue cycle modules

Preferred

5 years Experience translating analytical findings into actionable insights and presenting results to senior leadership, including Finance and Revenue Cycle executives.
5 years Experience managing multiple concurrent analytical requests, prioritizing work effectively, and delivering high-quality outputs in a fast-paced environment.
5 years Experience identifying metric drivers, conducting root-cause analysis, and developing recommendations to improve operational or financial performance.
3 years Experience working with cross-functional teams, external vendors, and consultants on data requirements, analytical approaches, and solution development.

View full posting on CareerOneStop → ID: 7e24e43dff8d

RWD Data Analyst

Norstella · Salem, OR

Mid-level Bachelor's

2026-06-02

OR 2026-06-02

Requirements

Bachelor's degree in Data Science, Computer Science, Public Health, Biostatistics, Epidemiology, or a related field
2-5 years of hands-on experience with real-world healthcare data, with demonstrated ability to assess source suitability and formulate data-driven recommendations
Comprehensive knowledge of RWD source types - including claims, EHR/EMR, laboratory, and unstructured data - and the ability to articulate appropriate use cases for each
Prior experience investigating unstructured or semi-structured EMR data, including identification of analytically viable variables within complex source formats
Strong proficiency in SQL, including complex multi-table query development; ability to produce and review production-quality extract logic
Demonstrated capacity to formulate and defend analytical decisions - including data selection, exclusion criteria, and edge case handling - grounded in both technical and clinical reasoning
Proficiency with AI-powered development tools (e.g., ChatGPT, Claude), with demonstrated ability to apply these tools to accelerate delivery and address complex analytical challenges
Familiarity with the life sciences industry and the drug development lifecycle
Experience with version control systems in a collaborative development environment
Strong analytical and critical thinking skills, with a demonstrated track record of proactive issue identification and resolution
Ability to manage multiple concurrent projects while sustaining high standards of quality, accuracy, and stakeholder responsiveness

Preferred

Experience working with vendor-delivered data products, including familiarity with delivery formats, data dictionaries, and source-specific quality considerations
Exposure to RWD product development, including participation in decisions regarding data asset design or feature prioritization
Experience translating clinical or scientific documentation into executable database logic
Proficiency with data analysis and pipeline tools such as Python, R, Airflow, or equivalent
Comfort operating within governed, production-oriented data environments
Experience supporting client-facing or downstream data delivery workflows

Responsibilities

Norstella's Real-World Data (RWD) team is seeking a mid-level Data Analyst with demonstrated expertise in real-world healthcare data. This role is designed for an analytically rigorous professional who applies critical thinking to each data engagement - evaluating source suitability, informing methodological decisions, and delivering outputs that reflect both technical precision and clinical reasoning.
The successful candidate will possess a thorough understanding of RWD source types and their respective limitations, and will be expected to make substantive, well-supported recommendations on data selection, inclusion and exclusion criteria, and analytical approach. This individual will serve as a trusted technical resource for internal teams and client-facing stakeholders, translating complex requirements into sound data strategies while proactively identifying risks and driving issues to resolution.
While the role requires strong technical proficiency, candidates are expected to bring a consultative orientation to their work - engaging with client needs, contributing to product decisions, and consistently seeking to improve outcomes rather than simply executing against defined specifications.
*_RWD Expertise & Data Advisory_
Serve as a subject matter expert across real-world data source types, including claims, EHR/EMR, laboratory, and NLP-derived data, with a thorough understanding of the strengths, limitations, and appropriate applications of each
Evaluate client and project requirements to formulate clear, well-reasoned recommendations regarding data source selection, variable construction, and inclusion and exclusion criteria
Advise on vendor data structures and delivery formats, translating source-specific characteristics into actionable guidance for project and delivery teams
Contribute domain expertise to internal product development discussions, identifying opportunities to enhance data offerings in response to evolving industry and client needs
*_Critical Problem Solving & Analytical Decision Making_
Apply structured analytical reasoning to each data engagement, critically evaluating requirements, challenging assumptions where appropriate, and recommending the most defensible analytical path forward
Investigate complex and unstructured data sources - including raw EMR data - to assess fitness for purpose and identify viable analytical signal
Anticipate downstream data quality and delivery risks, proactively surfacing issues and proposing solutions prior to escalation
Leverage AI-powered tools (e.g., ChatGPT, Claude) to enhance development efficiency, support artifact generation, and address non-standard analytical challenges
*_Data Extract Development & Implementation_
Design and develop client-specific data extracts that reflect both the stated specification and a sound, defensible understanding of the underlying data
Translate real-world data requirements into production-quality SQL logic, with attention to accuracy, reproducibility, and long-term maintainability
Develop and maintain database queries and procedures used to extract and structure RWD across multiple data sources
*_Client & Stakeholder Engagement_
Partner with client-facing teams to develop a thorough understanding of client intent, engaging constructively when data limitations require an alternative approach
Communicate data decisions, methodological trade-offs, and analytical assumptions clearly to both technical and non-technical audiences
Manage multiple concurrent project workstreams, maintaining quality and responsiveness across competing priorities
*_Collaboration & Knowledge Sharing_
Collaborate with analytics, engineering, and delivery teams to ensure shared understanding of data logic, source assumptions, and extract methodology
Contribute to shared documentation, standard operating procedures, and team knowledge resources
Participate in team discussions related to data quality, process improvement, and product direction
All other duties as assigned

View full posting on CareerOneStop → ID: 11938236e8fd

RWD Data Analyst

Norstella · Boise, ID

Mid-level Bachelor's

2026-06-02

ID 2026-06-02

Requirements

Bachelor's degree in Data Science, Computer Science, Public Health, Biostatistics, Epidemiology, or a related field
2-5 years of hands-on experience with real-world healthcare data, with demonstrated ability to assess source suitability and formulate data-driven recommendations
Comprehensive knowledge of RWD source types - including claims, EHR/EMR, laboratory, and unstructured data - and the ability to articulate appropriate use cases for each
Prior experience investigating unstructured or semi-structured EMR data, including identification of analytically viable variables within complex source formats
Strong proficiency in SQL, including complex multi-table query development; ability to produce and review production-quality extract logic
Demonstrated capacity to formulate and defend analytical decisions - including data selection, exclusion criteria, and edge case handling - grounded in both technical and clinical reasoning
Proficiency with AI-powered development tools (e.g., ChatGPT, Claude), with demonstrated ability to apply these tools to accelerate delivery and address complex analytical challenges
Familiarity with the life sciences industry and the drug development lifecycle
Experience with version control systems in a collaborative development environment
Strong analytical and critical thinking skills, with a demonstrated track record of proactive issue identification and resolution
Ability to manage multiple concurrent projects while sustaining high standards of quality, accuracy, and stakeholder responsiveness

Preferred

Experience working with vendor-delivered data products, including familiarity with delivery formats, data dictionaries, and source-specific quality considerations
Exposure to RWD product development, including participation in decisions regarding data asset design or feature prioritization
Experience translating clinical or scientific documentation into executable database logic
Proficiency with data analysis and pipeline tools such as Python, R, Airflow, or equivalent
Comfort operating within governed, production-oriented data environments
Experience supporting client-facing or downstream data delivery workflows

Responsibilities

Norstella's Real-World Data (RWD) team is seeking a mid-level Data Analyst with demonstrated expertise in real-world healthcare data. This role is designed for an analytically rigorous professional who applies critical thinking to each data engagement - evaluating source suitability, informing methodological decisions, and delivering outputs that reflect both technical precision and clinical reasoning.
The successful candidate will possess a thorough understanding of RWD source types and their respective limitations, and will be expected to make substantive, well-supported recommendations on data selection, inclusion and exclusion criteria, and analytical approach. This individual will serve as a trusted technical resource for internal teams and client-facing stakeholders, translating complex requirements into sound data strategies while proactively identifying risks and driving issues to resolution.
While the role requires strong technical proficiency, candidates are expected to bring a consultative orientation to their work - engaging with client needs, contributing to product decisions, and consistently seeking to improve outcomes rather than simply executing against defined specifications.
*_RWD Expertise & Data Advisory_
Serve as a subject matter expert across real-world data source types, including claims, EHR/EMR, laboratory, and NLP-derived data, with a thorough understanding of the strengths, limitations, and appropriate applications of each
Evaluate client and project requirements to formulate clear, well-reasoned recommendations regarding data source selection, variable construction, and inclusion and exclusion criteria
Advise on vendor data structures and delivery formats, translating source-specific characteristics into actionable guidance for project and delivery teams
Contribute domain expertise to internal product development discussions, identifying opportunities to enhance data offerings in response to evolving industry and client needs
*_Critical Problem Solving & Analytical Decision Making_
Apply structured analytical reasoning to each data engagement, critically evaluating requirements, challenging assumptions where appropriate, and recommending the most defensible analytical path forward
Investigate complex and unstructured data sources - including raw EMR data - to assess fitness for purpose and identify viable analytical signal
Anticipate downstream data quality and delivery risks, proactively surfacing issues and proposing solutions prior to escalation
Leverage AI-powered tools (e.g., ChatGPT, Claude) to enhance development efficiency, support artifact generation, and address non-standard analytical challenges
*_Data Extract Development & Implementation_
Design and develop client-specific data extracts that reflect both the stated specification and a sound, defensible understanding of the underlying data
Translate real-world data requirements into production-quality SQL logic, with attention to accuracy, reproducibility, and long-term maintainability
Develop and maintain database queries and procedures used to extract and structure RWD across multiple data sources
*_Client & Stakeholder Engagement_
Partner with client-facing teams to develop a thorough understanding of client intent, engaging constructively when data limitations require an alternative approach
Communicate data decisions, methodological trade-offs, and analytical assumptions clearly to both technical and non-technical audiences
Manage multiple concurrent project workstreams, maintaining quality and responsiveness across competing priorities
*_Collaboration & Knowledge Sharing_
Collaborate with analytics, engineering, and delivery teams to ensure shared understanding of data logic, source assumptions, and extract methodology
Contribute to shared documentation, standard operating procedures, and team knowledge resources
Participate in team discussions related to data quality, process improvement, and product direction
All other duties as assigned

View full posting on CareerOneStop → ID: be381acf113e

Total Rewards Data Analyst

Micron Technology, Inc. · Boise, ID

Mid-level Master's

2026-06-02

ID 2026-06-02

Our vision is to transform how the world uses information to enrich life for _all_ . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and adva

View full posting on CareerOneStop → ID: 4874a884e2ec

RWD Data Analyst

Norstella · Helena, MT

Mid-level Bachelor's

2026-06-02

MT 2026-06-02

Requirements

Bachelor's degree in Data Science, Computer Science, Public Health, Biostatistics, Epidemiology, or a related field
2-5 years of hands-on experience with real-world healthcare data, with demonstrated ability to assess source suitability and formulate data-driven recommendations
Comprehensive knowledge of RWD source types - including claims, EHR/EMR, laboratory, and unstructured data - and the ability to articulate appropriate use cases for each
Prior experience investigating unstructured or semi-structured EMR data, including identification of analytically viable variables within complex source formats
Strong proficiency in SQL, including complex multi-table query development; ability to produce and review production-quality extract logic
Demonstrated capacity to formulate and defend analytical decisions - including data selection, exclusion criteria, and edge case handling - grounded in both technical and clinical reasoning
Proficiency with AI-powered development tools (e.g., ChatGPT, Claude), with demonstrated ability to apply these tools to accelerate delivery and address complex analytical challenges
Familiarity with the life sciences industry and the drug development lifecycle
Experience with version control systems in a collaborative development environment
Strong analytical and critical thinking skills, with a demonstrated track record of proactive issue identification and resolution
Ability to manage multiple concurrent projects while sustaining high standards of quality, accuracy, and stakeholder responsiveness

Preferred

Experience working with vendor-delivered data products, including familiarity with delivery formats, data dictionaries, and source-specific quality considerations
Exposure to RWD product development, including participation in decisions regarding data asset design or feature prioritization
Experience translating clinical or scientific documentation into executable database logic
Proficiency with data analysis and pipeline tools such as Python, R, Airflow, or equivalent
Comfort operating within governed, production-oriented data environments
Experience supporting client-facing or downstream data delivery workflows

Responsibilities

Norstella's Real-World Data (RWD) team is seeking a mid-level Data Analyst with demonstrated expertise in real-world healthcare data. This role is designed for an analytically rigorous professional who applies critical thinking to each data engagement - evaluating source suitability, informing methodological decisions, and delivering outputs that reflect both technical precision and clinical reasoning.
The successful candidate will possess a thorough understanding of RWD source types and their respective limitations, and will be expected to make substantive, well-supported recommendations on data selection, inclusion and exclusion criteria, and analytical approach. This individual will serve as a trusted technical resource for internal teams and client-facing stakeholders, translating complex requirements into sound data strategies while proactively identifying risks and driving issues to resolution.
While the role requires strong technical proficiency, candidates are expected to bring a consultative orientation to their work - engaging with client needs, contributing to product decisions, and consistently seeking to improve outcomes rather than simply executing against defined specifications.
*_RWD Expertise & Data Advisory_
Serve as a subject matter expert across real-world data source types, including claims, EHR/EMR, laboratory, and NLP-derived data, with a thorough understanding of the strengths, limitations, and appropriate applications of each
Evaluate client and project requirements to formulate clear, well-reasoned recommendations regarding data source selection, variable construction, and inclusion and exclusion criteria
Advise on vendor data structures and delivery formats, translating source-specific characteristics into actionable guidance for project and delivery teams
Contribute domain expertise to internal product development discussions, identifying opportunities to enhance data offerings in response to evolving industry and client needs
*_Critical Problem Solving & Analytical Decision Making_
Apply structured analytical reasoning to each data engagement, critically evaluating requirements, challenging assumptions where appropriate, and recommending the most defensible analytical path forward
Investigate complex and unstructured data sources - including raw EMR data - to assess fitness for purpose and identify viable analytical signal
Anticipate downstream data quality and delivery risks, proactively surfacing issues and proposing solutions prior to escalation
Leverage AI-powered tools (e.g., ChatGPT, Claude) to enhance development efficiency, support artifact generation, and address non-standard analytical challenges
*_Data Extract Development & Implementation_
Design and develop client-specific data extracts that reflect both the stated specification and a sound, defensible understanding of the underlying data
Translate real-world data requirements into production-quality SQL logic, with attention to accuracy, reproducibility, and long-term maintainability
Develop and maintain database queries and procedures used to extract and structure RWD across multiple data sources
*_Client & Stakeholder Engagement_
Partner with client-facing teams to develop a thorough understanding of client intent, engaging constructively when data limitations require an alternative approach
Communicate data decisions, methodological trade-offs, and analytical assumptions clearly to both technical and non-technical audiences
Manage multiple concurrent project workstreams, maintaining quality and responsiveness across competing priorities
*_Collaboration & Knowledge Sharing_
Collaborate with analytics, engineering, and delivery teams to ensure shared understanding of data logic, source assumptions, and extract methodology
Contribute to shared documentation, standard operating procedures, and team knowledge resources
Participate in team discussions related to data quality, process improvement, and product direction
All other duties as assigned

View full posting on CareerOneStop → ID: d0b60751e153

Business Intelligence Engineer II, Amazon Freight

Amazon · Bellevue, WA

Mid-level Master's

2026-06-02

WA 2026-06-02

Requirements

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in Statistical Analysis packages such as R, SAS and Matlab

Preferred

Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
1+ years of managing, analyzing and communicating results to senior leadership experience

Responsibilities

Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance
Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements
Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models
Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

View full posting on CareerOneStop → ID: 1bf8e9685e65

Data Analyst (Consulting)

SolomonEdwards · Olympia, WA

Mid-level Master's

2026-06-02

WA 2026-06-02

Requirements

· High School Diploma or equivalent required.
· Bachelor's degree preferred.
· Master of Library and Information Science (MLIS) strongly preferred.
· Experience working with large datasets across multiple applications.
· Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
· Experience with asset inventory management and recordkeeping.
· Experience with reporting, dashboarding, and data visualization tools.
· Strong project management and organizational skills.
· Experience supporting content strategy and planning initiatives.
· Media, entertainment, or archive management experience preferred.
*Skills and Job-Specific Competencies:
· Experience with Digital Asset Management (DAM) platforms.
· Knowledge of metadata management and taxonomy standards.
· Proficiency in Tableau for data visualization and reporting.
· Working knowledge of XML.
· Advanced proficiency with Adobe Acrobat Pro.
· Experience with FileMaker databases.
· Proficiency in Microsoft Access.
· Advanced Microsoft Excel skills, including reporting and data analysis.
· Experience working with Content Management Systems (CMS).
· Professional Competencies.
· Strong analytical, critical thinking, and problem-solving abilities.
· Exceptional attention to detail and commitment to accuracy.
· Excellent written and verbal communication skills.
· Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
· Sound judgment with the ability to make independent decisions.
· Strong collaboration and stakeholder relationship management skills.
· Ability to maintain confidentiality and handle sensitive information with discretion.
· Self-motivated with the ability to work independently and as part of a team.
*Travel Requirements: No travel will be required, unless at the client's discretion.

Responsibilities

We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
· Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
· Perform data mining, validation, and quality control across multiple systems.
· Manage metadata, inventory records, and digital asset information.
· Develop and maintain dashboards, reports, and data visualizations.
· Generate regular and ad hoc reporting to support business decisions.
· Coordinate with internal teams and client stakeholders to meet project milestones.
· Troubleshoot data, content, and system issues and escalate when necessary.

View full posting on CareerOneStop → ID: 4e203335dae2

Data Analyst (Consulting)

SolomonEdwards · Boise, ID

Mid-level Master's

2026-06-02

ID 2026-06-02

Requirements

· High School Diploma or equivalent required.
· Bachelor's degree preferred.
· Master of Library and Information Science (MLIS) strongly preferred.
· Experience working with large datasets across multiple applications.
· Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
· Experience with asset inventory management and recordkeeping.
· Experience with reporting, dashboarding, and data visualization tools.
· Strong project management and organizational skills.
· Experience supporting content strategy and planning initiatives.
· Media, entertainment, or archive management experience preferred.
*Skills and Job-Specific Competencies:
· Experience with Digital Asset Management (DAM) platforms.
· Knowledge of metadata management and taxonomy standards.
· Proficiency in Tableau for data visualization and reporting.
· Working knowledge of XML.
· Advanced proficiency with Adobe Acrobat Pro.
· Experience with FileMaker databases.
· Proficiency in Microsoft Access.
· Advanced Microsoft Excel skills, including reporting and data analysis.
· Experience working with Content Management Systems (CMS).
· Professional Competencies.
· Strong analytical, critical thinking, and problem-solving abilities.
· Exceptional attention to detail and commitment to accuracy.
· Excellent written and verbal communication skills.
· Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
· Sound judgment with the ability to make independent decisions.
· Strong collaboration and stakeholder relationship management skills.
· Ability to maintain confidentiality and handle sensitive information with discretion.
· Self-motivated with the ability to work independently and as part of a team.
*Travel Requirements: No travel will be required, unless at the client's discretion.

Responsibilities

We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
· Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
· Perform data mining, validation, and quality control across multiple systems.
· Manage metadata, inventory records, and digital asset information.
· Develop and maintain dashboards, reports, and data visualizations.
· Generate regular and ad hoc reporting to support business decisions.
· Coordinate with internal teams and client stakeholders to meet project milestones.
· Troubleshoot data, content, and system issues and escalate when necessary.

View full posting on CareerOneStop → ID: cb56e9b38b82

Data Analyst (Consulting)

SolomonEdwards · Salem, OR

Mid-level Master's

2026-06-02

OR 2026-06-02

Requirements

· High School Diploma or equivalent required.
· Bachelor's degree preferred.
· Master of Library and Information Science (MLIS) strongly preferred.
· Experience working with large datasets across multiple applications.
· Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
· Experience with asset inventory management and recordkeeping.
· Experience with reporting, dashboarding, and data visualization tools.
· Strong project management and organizational skills.
· Experience supporting content strategy and planning initiatives.
· Media, entertainment, or archive management experience preferred.
*Skills and Job-Specific Competencies:
· Experience with Digital Asset Management (DAM) platforms.
· Knowledge of metadata management and taxonomy standards.
· Proficiency in Tableau for data visualization and reporting.
· Working knowledge of XML.
· Advanced proficiency with Adobe Acrobat Pro.
· Experience with FileMaker databases.
· Proficiency in Microsoft Access.
· Advanced Microsoft Excel skills, including reporting and data analysis.
· Experience working with Content Management Systems (CMS).
· Professional Competencies.
· Strong analytical, critical thinking, and problem-solving abilities.
· Exceptional attention to detail and commitment to accuracy.
· Excellent written and verbal communication skills.
· Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
· Sound judgment with the ability to make independent decisions.
· Strong collaboration and stakeholder relationship management skills.
· Ability to maintain confidentiality and handle sensitive information with discretion.
· Self-motivated with the ability to work independently and as part of a team.
*Travel Requirements: No travel will be required, unless at the client's discretion.

Responsibilities

We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
· Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
· Perform data mining, validation, and quality control across multiple systems.
· Manage metadata, inventory records, and digital asset information.
· Develop and maintain dashboards, reports, and data visualizations.
· Generate regular and ad hoc reporting to support business decisions.
· Coordinate with internal teams and client stakeholders to meet project milestones.
· Troubleshoot data, content, and system issues and escalate when necessary.

View full posting on CareerOneStop → ID: a077bd9739ea

Data Analyst (Consulting)

SolomonEdwards · Helena, MT

Mid-level Master's

2026-06-02

MT 2026-06-02

Requirements

· High School Diploma or equivalent required.
· Bachelor's degree preferred.
· Master of Library and Information Science (MLIS) strongly preferred.
· Experience working with large datasets across multiple applications.
· Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
· Experience with asset inventory management and recordkeeping.
· Experience with reporting, dashboarding, and data visualization tools.
· Strong project management and organizational skills.
· Experience supporting content strategy and planning initiatives.
· Media, entertainment, or archive management experience preferred.
*Skills and Job-Specific Competencies:
· Experience with Digital Asset Management (DAM) platforms.
· Knowledge of metadata management and taxonomy standards.
· Proficiency in Tableau for data visualization and reporting.
· Working knowledge of XML.
· Advanced proficiency with Adobe Acrobat Pro.
· Experience with FileMaker databases.
· Proficiency in Microsoft Access.
· Advanced Microsoft Excel skills, including reporting and data analysis.
· Experience working with Content Management Systems (CMS).
· Professional Competencies.
· Strong analytical, critical thinking, and problem-solving abilities.
· Exceptional attention to detail and commitment to accuracy.
· Excellent written and verbal communication skills.
· Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
· Sound judgment with the ability to make independent decisions.
· Strong collaboration and stakeholder relationship management skills.
· Ability to maintain confidentiality and handle sensitive information with discretion.
· Self-motivated with the ability to work independently and as part of a team.
*Travel Requirements: No travel will be required, unless at the client's discretion.

Responsibilities

We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
· Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
· Perform data mining, validation, and quality control across multiple systems.
· Manage metadata, inventory records, and digital asset information.
· Develop and maintain dashboards, reports, and data visualizations.
· Generate regular and ad hoc reporting to support business decisions.
· Coordinate with internal teams and client stakeholders to meet project milestones.
· Troubleshoot data, content, and system issues and escalate when necessary.

View full posting on CareerOneStop → ID: ebcc60716aa1

Sr. Business Intelligence Engineer, B2C, Amazon Leo

Amazon · Bellevue, WA

Senior

2026-06-01

WA 2026-06-01

Requirements

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
6+ years of professional or military experience
5+ years of SQL experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership

Responsibilities

Architect, build, and maintain foundational business datasets across our tech stack and other internal systems to support analytics, reporting, and customer growth use cases.
Develop SQL-based transformations, data models, and ETL/ELT workflows to structure and unify marketing and customer data for customer lifecycle use cases.
Design, optimize, and manage Amazon QuickSight dashboards that provide visibility into acquisition performance, attribution, and lifecycle funnels.
Conduct deep-dive analysis to identify funnel drop-offs, diagnose performance issues, uncover customer insights, and evaluate marketing effectiveness.
Translate ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools.
Drive alignment on KPI definitions, measurement frameworks, taxonomy, and data governance across global marketing teams.
Collaborate closely with Product, Sales Ops, Data Science, and cross-functional partners to support experimentation, segmentation, forecasting, and predictive insights.
Communicate effectively with senior management audiences (e.g. narratives, inputs into weekly/monthly/quarterly business reviews).* Drive best practices in operational excellence, data modeling, and analysis. Ensure that BI solutions are correctly and efficiently supporting the business.* Participate in hiring activities and mentor junior team members
You will spend part of your day improving the business health data architecture-designing better datasets, cleaning pipelines, and enabling new use cases in the CDP and other internal spaces. Another part of your day will involve partnering with Data Engineering to review instrumentation or troubleshoot data issues. You will also work directly with Marketing and Product teams to conduct deep dives, and design new measurement approaches. You will be a strategic and technical owner ensuring that Amazon Leo Marketing can make accurate, timely, data-driven decisions.

View full posting on CareerOneStop → ID: 2fa5cbe2b23e

Sr. Business Intelligence Engineer, B2C, Amazon Leo

Amazon · Bellevue, WA

Senior

2026-05-31

WA 2026-05-31

Requirements

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
6+ years of professional or military experience
5+ years of SQL experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership

Responsibilities

Architect, build, and maintain foundational business datasets across our tech stack and other internal systems to support analytics, reporting, and customer growth use cases.
Develop SQL-based transformations, data models, and ETL/ELT workflows to structure and unify marketing and customer data for customer lifecycle use cases.
Design, optimize, and manage Amazon QuickSight dashboards that provide visibility into acquisition performance, attribution, and lifecycle funnels.
Conduct deep-dive analysis to identify funnel drop-offs, diagnose performance issues, uncover customer insights, and evaluate marketing effectiveness.
Translate ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools.
Drive alignment on KPI definitions, measurement frameworks, taxonomy, and data governance across global marketing teams.
Collaborate closely with Product, Sales Ops, Data Science, and cross-functional partners to support experimentation, segmentation, forecasting, and predictive insights.
Communicate effectively with senior management audiences (e.g. narratives, inputs into weekly/monthly/quarterly business reviews).* Drive best practices in operational excellence, data modeling, and analysis. Ensure that BI solutions are correctly and efficiently supporting the business.* Participate in hiring activities and mentor junior team members
You will spend part of your day improving the business health data architecture-designing better datasets, cleaning pipelines, and enabling new use cases in the CDP and other internal spaces. Another part of your day will involve partnering with Data Engineering to review instrumentation or troubleshoot data issues. You will also work directly with Marketing and Product teams to conduct deep dives, and design new measurement approaches. You will be a strategic and technical owner ensuring that Amazon Leo Marketing can make accurate, timely, data-driven decisions.

View full posting on CareerOneStop → ID: d17a302f4740

Business Intelligence Analyst 3

ManpowerGroup · Redmond, WA

Mid-level

2026-05-30

WA 2026-05-30

NO C2C Our client, a leading organization in supply chain and data analytics, is seeking a Business Intelligence Analyst 3 to join their team. As a Business Intelligence Analyst 3, you will be part of the Supply Chain Operations Management department supporting data-driven decision making and

View full posting on CareerOneStop → ID: dac73e276e2c

Business Intel Engineer II - AMZ9675031, Creators and Social Analytics Team

Amazon · Seattle, WA

Mid-level Bachelor's

2026-05-30

WA 2026-05-30

Requirements

Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and two years of experience in the job offered or a related occupation. Must have one year of experience in the following skill(s): (1) using SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources; (3) performing statistical analysis; and (4) developing automated reporting.

Preferred

Please see job description and the position requirements above.

Responsibilities

Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
THIS NOTICE IS BEING POSTED AS A RESULT OF THE FILING OF AN APPLICATION FOR PERMANENT ALIEN LABOR CERTIFICATION FOR THIS JOB OPPORTUNITY. ANY PERSON MAY PROVIDE DOCUMENTARY EVIDENCE BEARING ON THE APPLICATION (SUCH AS INFORMATION ON AVAILABLE WORKERS, WAGES, WORKING CONDITIONS, AND ANY OTHER THAT IS FELT TO BE PERTINENT) TO:
Certifying Office
U.S. Department of Labo
Employment and Training Administration
Office of Foreign Labor Certification
200 Constitution Avenue, NW
Washington, DC 20210
Certifying Office E-mail: plc.atlanta@dol.gov
MULTIPLE POSITIONS AVAILABLE
Employer: AMAZON.COM SERVICES LLC
Offered Position: Business Intel Engineer II

View full posting on CareerOneStop → ID: 8c1c3c25b6e0

Business Intelligence Engineer, Prime Video Science Tech

Amazon · Seattle, WA

Mid-level

2026-05-30

WA 2026-05-30

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
3+ years of SQL, ETL or Oracle experience
3+ years of processing large, multi-dimensional datasets from multiple sources experience
Experience with data visualization using Tableau, Quicksight, or similar tools
3+ years of performing statistical analysis experience
3+ years of developing automated reporting experience
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Interacting with stakeholders (technical and non-technical) to understand primary use cases and questions.
Building data queries for ad hoc uses, dashboards, and deep-dive on data-pipeline.
Working with Data Engineers, Data scientists and Marketing media managers to provide data and insights for building Prime Video marketing measurement insights.
Managing cross organizational program for providing quality data for Prime Video Science models. Strong in communication and document writing for sharing regular updates on programs.
A typical day in this role provides opportunities for building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions.
Gather detailed requirements from stakeholders to understand their manual processes and pain points. Serve as the liaison between the engineering team and Prime Video stakeholders.
Think creatively to identify opportunities to solve problems using technology-driven solutions.
Design and implement optimal automation solutions to address stakeholder needs.
Manage cross organizational Data programs. Respond to ad hoc requests, and communicate on program updates.
Run Tech prioritization mechanism, and write document for leadership review on program updates.

View full posting on CareerOneStop → ID: fd4f8a6e5c9b

Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation

Amazon · Seattle, WA

Senior Master's

2026-05-30

WA 2026-05-30

Requirements

5+ years of SQL, ETL or Oracle experience
5+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Master's degree in statistics, data science, or an equivalent quantitative field
Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Responsibilities

Work directly with the models/data. Work with large data sets and the technical tools needed to work with them
Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL). Build data models leveraging Python.
Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes
Use analytical and statistical rigor to solve complex problems and drive business decisions
Drive towards simple, scalable solutions to difficult problems
Project-manage multiple workflows and communicate complex analytical results, both written and verbally
Work with key business stakeholders to understand requirements and shape analytical deliverables
Think strategically about business, product, and technical challenges, with the ability to work cross-organizationally

View full posting on CareerOneStop → ID: 7e604e84d94b

Sr. Business Data Analyst

Insight Global · Seattle, WA

Senior

2026-05-30

WA 2026-05-30

Requirements

At least 5 years of experience with Power BI
Proven experience building and managing semantic models specifically within Microsoft Fabric
Expert-level knowledge of dimensional modeling and relational database concepts
Advanced proficiency in SQL/T-SQL and experience with programming languages like Python or R
Practical knowledge of Procore, Salesforce, and ERP systems (and their underlying data structures)
Strong understanding of data integrity, security, and governance standards
Familiarity with JIRA/Azure DevOps and Agile/Scrum methodologies Experience in the Architectural, Engineering, and Construction (AEC) industry is a significant plus.

Responsibilities

Leverage data to drive informed decision-making and business improvements specifically within the Energy & Technical Services (E&TS) Line of Business. This role is a key member of the Reporting & Analytics team, responsible for building the foundational data architecture that empowers teams to make real-time, data-driven decisions. The analyst will actively manage the transition to Microsoft Fabric, ensuring that complex datasets from construction and energy performance are transformed into actionable insights. Success will look like the following: Successful migration and replatforming of E&TS dashboards and semantic models into Microsoft Fabric; creation of performant dimensional models that integrate data seamlessly from Salesforce, ERPs, and Procore; strong technical leadership and adherence to data governance and quality assurance standards.

View full posting on CareerOneStop → ID: ea359a626bce

Business Intelligence Developer

Jacksons · Meridian, ID

Mid-level Bachelor's

2026-05-30

ID 2026-05-30

Education

4 year bachelor's degree in Computer Science, Data Science, Business Analytics or related field.
2+ years' experience in a data analytics role.
2+ years' experience with SQL Server stack (i.e.SSMS, SSRS) and DAX.
2+ years' experience with Experience with Data Modeling and ETL Tools.
2+ years' experience with Data Visualization or related (i.e. Power BI).
2+ years' experience with Microsoft Excel.
2+ years' experience with Microsoft 365 Office.
Strong Oral and Written Communication, Computer Skills, and Technical Expertise.
Advanced problem solving and analytical skills.
An ability to assess performance using key metrics, quickly identify improvement opportunities, and develop and implement an appropriate action plan to address issues.
Demonstrated customer and personal service skills using customer/employer needs assessment, evaluation of satisfaction and ensuring quality standards of service.
Practice operating independently without the need for continuous oversight or direction.
Legal authority to work in the US. Jacksons does not currently sponsor employment.
Physical Environment:

Responsibilities

Analyze business intelligence needs and requirements and provides data storage, analytical, or reporting tools in response.
Create efficient and actionable Business Intelligence solutions following brand guidelines for Power BI reports.
Support data models and report backups and redundancy of reporting to maximize uptime.
May provide leadership, coaching and/or mentoring to a subordinate group.
Tests storage and reporting solutions for functionality and integrity; troubleshoots and resolves errors.
Develops standard or custom reports, queries, or dashboards that access and consolidate information from a variety of data sources and provides ongoing support for data users.
Utilizes data mining techniques and develops data models to assist in the visualization and interpretation of data.
Handles moderately complex issues and problems and refers more complex issues to higher-level staff.
May provide leadership, coaching, and/or mentoring to a subordinate group.
The duties and responsibilities described are not a comprehensive list and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands.

View full posting on CareerOneStop → ID: 3ebed2bc2d5d

Business Intelligence Engineer II - 3034351

Apex Systems, Inc. · Bellevue, WA

Mid-level

2026-05-30

WA 2026-05-30

Requirements

*Citizenship: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
*Technical Skills:
Strong SQL skills for querying risk and compliance data from source systems and BI datasets.
Advanced spreadsheet modeling skills (e.g., Excel) for interim mechanisms, normalization, and scenario analysis.
Hands-on experience with BI platforms such as Microsoft Power BI, Tableau, or equivalent tools.
Ability to design and implement repeatable dashboards, KPI/KRI views, and drill-down reports.

Responsibilities

Business Intelligence Engineer II
We are seeking a Business Intelligence Engineer to enhance and maintain existing reporting structures. This role will focus on improving data quality, standardizing metric calculations, and developing new dashboards and reporting capabilities. The position is project-oriented, supporting a transition to new GRC platforms and ensuring reporting continuity while establishing a stable, well-documented analytics layer for future use.
Enhance and maintain reporting within existing BI suites, including data quality reviews.
Standardize and document Key Performance Indicator (KPI) and metric calculations.
Develop new dashboards, trend analyses, and operational reports for leadership review.
Support the transition of data to new Governance, Risk, and Compliance (GRC) platforms.
Document queries, dashboard logic, and metric definitions.
Develop Standard Operating Procedures (SOPs) and playbooks for future state operations.
Create an inventory and rationalization of current spreadsheets, datasets, and reports.
Maintain a stable, well-documented analytics layer for handover to future employees.

View full posting on CareerOneStop → ID: cc5cb826748d

Business Intelligence Engineer

Humana · Boise, ID

Mid-level

2026-05-29

ID 2026-05-29

Requirements

3+ years of data analysis experience
3+ years advanced experience developing complex SQL queries
Advanced knowledge of Excel (ex. Pivot tables, VLOOKUP's, formatting, etc.)
Expertise in assessing complex data sets and performing root cause analysis
Experience with Azure, Data Bricks, SQL, and business intelligence tools.
Strong analytical, problem-solving, and communication skills.
Ability to interpret business requirements for provider operations and translate them into technical solutions.

Preferred

Experience with Humana systems, specifically Service Fund
Experience creating analytics solutions for various healthcare sectors/understanding healthcare related data
Experience with tools such as Power BI for creating data visualizations
Expertise in data mining
Experience with database and/or data system migrations
Experience with SQL Servers, Data Bricks, Cloud, Power Platform
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Responsibilities

Utilizes technical skills to drive process improvement
Conducts data research and/or data processing trouble shooting
Assists in producing data ad hoc requests using Excel, PowerPoint, Power BI/Power Platform, and other various analytical tools
Supports the Senior Business Intelligence Engineers on the Service Fund team
Develops data reporting tools and reporting automation
Develop and optimize ETL pipelines using UDAP to consolidate data from multiple sources, ensuring data integrity for Service Fund and provider operations
Develop and maintain User Testing acceptance data models that optimize data quality using SQL, Python and/or Data Bricks
*Collaboration & Continuous Improvement:
Can independently work with cross-functional teams-including business operations, IT, and provider relations-to streamline data processes
Support requirements gathering and define Business Use Case user stories as part of system reporting enhancements needs
*The ideal applicant will possess the following skills:
Industry Knowledge
Business Acumen
Engaging Presentations
Decision Making
Project Management
Business Analytics
Analytical Thinking
Problem Solving
Emerging Technologies
*Use your skills to make an impact

View full posting on CareerOneStop → ID: 17e6f1873062

Business Intelligence Lead - CAHPS & HOS Analytics

Humana · Boise, ID

Senior Bachelor's

2026-05-29

ID 2026-05-29

Requirements

Bachelor's degree and 5+ years of technical experience in business intelligence, analytics, or survey data analysis
2 or more years of project leadership experience
Advanced experience in dashboard development, reporting automation, and working with big and complex data sets
Experience analyzing data to solve a wide variety of business problems and creating data visualizations that drive strategic direction
Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
Expertise with BI tools such as Power BI or Tableau
Demonstrated ability to streamline data operations and reduce manual effort through automation
Proficiency in verbal/written communication to senior and executive leadership
Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred

Advanced Degreein a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or relevant certifications (e.g., CBIP, Lean Six Sigma)
Experience in Medicare, Stars, or healthcare analytics
Experience working with CAHPS & HOS or other survey data
Advanced in SQL, SAS and other data systems
Experience programming in Python
Expertise in data mining, forecasting, simulation, and/or predictive modeling
Experience with automation tools and technologies to automate workflows, data pipelines, and reporting processes
*Additional Information

View full posting on CareerOneStop → ID: 4a984a27c107

Data Analyst

Cognizant · Boise, ID

Mid-level Bachelor's

2026-05-29

ID 2026-05-29

Requirements

3+ years of experience in data analytics, business intelligence, or a related role within a software delivery or engineering environment.
Proficiency with BI/visualization tools, particularly Power BI.
Experience building and configuring data pipelines and integrations (ETL/ELT workflows, API integrations, scheduled data pulls).
Working knowledge of SQL and at least one scripting language (Python, R, or similar) for data transformation and automation.
Hands-on experience with Atlassian tooling (Jira, Confluence, Bitbucket) with the ability to extract, model, and report on their data.
Strong communicator who can present findings to both technical and non-technical stakeholders independently.
Demonstrated ability to work autonomously and exercise independent judgment on approach and escalation.
Experience with software delivery metrics frameworks (DORA, SPACE, or similar) preferred.
Background in logistics, warehousing, or 24/7 operational environments is a plus.
Bachelor's degree in a related field preferred, or equivalent experience.
*Compensation: - $70,000 to $100,000 + COLA and this position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Application will be accepted by 6/28/2026
*Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions

View full posting on CareerOneStop → ID: f4893a5a4166

Data Analyst, Market Intelligence & Insights

Cardinal Health · Boise, ID

Mid-level Bachelor's

2026-05-29

ID 2026-05-29

Requirements

Bachelor's degree or equivalent work experience preferred.
Typically 5-8 years of experience in analytics, strategy, consulting, operations, or related healthcare roles preferred.
Excellent analytical, organizational, and critical-thinking skills.
Demonstrated ability to manage complex, cross-functional work independently.
Strong written and verbal communication skills with the ability to translate complexity into clear insights.
Experience in healthcare, pharmaceutical distribution, specialty pharmacy, or healthcare services.
Proficiency with data and reporting tools such as Excel, Tableau, Looker, and Salesforce (including reporting, dashboards, and pipeline management)
Experience leveraging AI tools (e.g., Microsoft Copilot, Gemini, ChatGPT, or similar) to accelerate analysis, automate workflows, and generate business insights
Knowledge and proficiency with biosimilar and Advanced therapy pipeline tools such as MMIT, IPD, Zymewire
*What is expected of you and others at this level
Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects.
Participates in the development of policies, procedures, and standards to achieve business objectives.
Recommends new practices, processes, metrics, or models that may set precedent.
Receives guidance on overall project objectives while determining methods for completion.
Work has cross-functional visibility and potential long-term impact.
Acts as a mentor to less experienced colleagues.

Preferred

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

Strategy, Analytics & Insight
Uses AI-assisted analytics tools (e.g., Copilot, Gemini, LLM-based tools) to rapidly synthesize large datasets, identify trends, and generate actionable insights.
Applies prompt engineering and AI-driven workflows to enhance modeling, reporting, and business case development.
Applies advanced analytical and business judgment to evaluate complex and ambiguous problems, generating actionable insights that inform strategic and operational decisions.
Develops data-driven analyses, business cases, revenue projections, and performance metrics to support portfolio management, pricing, product roadmapping, and growth initiatives.
Leverages internal and external data sources, market intelligence, and competitive insights to support prioritization, planning, and decision-making.
Prepares executive-ready materials and presentations for senior leadership and cross-functional stakeholders.
Pipeline, Portfolio & Reporting
Owns and maintains biosimilar and Advanced therapy pipelines, initiative, or product reporting, ensuring data accuracy, consistency, and alignment across stakeholders.
Designs and delivers standardized dashboards, reporting tools, and AI-enabled insights (e.g., automated summaries, anomaly detection, predictive signals) to improve visibility and decision support.
Monitors product or portfolio changes (e.g., launches, exits, substitutions, contract updates) and conducts impact analyses to assess downstream operational and commercial effects.
Leverages Salesforce data and reporting capabilities to build scalable pipeline visibility, forecasting, and performance tracking tools.
Utilizes AI tools to automate recurring reporting, generate narrative insights, and reduce manual analysis effort.
Process Design & Operational Excellence
Identifies opportunities to integrate AI and automation tools to streamline workflows, reduce manual effort, and improve analytical scalability.
Cross-Functional Partnership & Influence
Collaborates with Product, Marketing, Operations, Sales, and Analytics teams to enable execution readiness and aligned outcomes.
Supports sales enablement activities, customer targeting, leadership meetings, and conference preparation as needed.
Professional Leadership
Recommends new processes, metrics, models, or approaches with meaningful operational or strategic impact.
Acts as a mentor to less experienced colleagues, contributing to a collaborative and high-performing team environment.

View full posting on CareerOneStop → ID: 0847bc0be79f

Director - Data Analytics

Intermountain Health · Boise, ID

Director Master's

2026-05-29

ID 2026-05-29

Requirements

Strategic Vision
Executive Interaction
Platform Mastery
Leadership Excellence
Stakeholder Strategy
Bachelor's Degree in a related field with extensive professional experience in analytics and project management.
Demonstrable experience in leading system-wide analytics projects and developing system solutions.
Recognized domain expertise in clinical and business domains.
Extensive expertise in Product Management, Project Management, or Program Management philosophies and methodologies, and capable of strategically applying them to complex data analytic projects to ensure alignment with business goals and efficient execution.
Recognized thought leadership and ability to serve as an extension of senior data leaders.
Demonstrated executive presence and proficiency in managing stakeholder relationships
Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.
With this position, you are eligible to participate in the Annual Pay for Performance (AP4P) Plan. This plan enables Intermountain Health to provide leaders with an additional performance compensation opportunity. The AP4P award opportunities are calculated as a percentage of your base salary. Awards are paid out based on attainment of selected Board-approved goals.

Preferred

Master's Degree in a related data or analytics field such as statistics, mathematics, information systems, computer science, finance, business management, or economics.

Responsibilities

A strategic leader overseeing data and analytics operations across various departments and regions. This role involves directing analytical strategies to provide accurate and timely data for guiding decisions. Leads high-impact teams with expertise in healthcare data, partnering with business and clinical leaders to deploy world-class data analytics and support the mission of helping people live the healthiest lives possible and business strategies.
This Director role provides strategic leadership across key Enterprise Analytics functions, with specific responsibility for Supply Chain Analytics, Human Resource Analytics, and other Shared Services Analytics teams. The leader will partner closely with stakeholders and analytics teams to set priorities, focus drive high-impact initiatives, strengthen governance and delivery standards, and ensure analytics capabilities create measurable value across the organization.
Candidates outside of Utah may be considered, but we are are not currently hiring remote workers in the following states: CA, CT, HI, IL, NY, RI, VT, and WA. Business travel will be necessary, regardless of state of residence, and will primarily be within Intermountain Health's service area (UT, ID, NV, CO, WY, MT), but may also require travel within the United States.
*Essential Functions
Develop and execute strategic plans for the entire data and analytics division, ensuring alignment with Intermountain strategies.
Lead governance and prioritization workgroups, ensuring work priorities align with business unit, region, and system priorities. Must effectively communicate with executives under high pressure and tight timelines.
Accountable for delivering high performance on Enterprise Analytics key performance indicators (KPIs) across all teams, such as Strategic Impact, Value Realization, and Team Engagement.
Possess an expert understanding of data platforms and architectures to enable strong partnerships with data architects, advisors, and analystsin developing analytic solutions.
Ensure that managers of teams responsible for data deliverables adopt best practice standards that align with overall analytic and business strategies.
Ensure alignment and support of Data Governance strategy, including data stewardship and data quality for the entire business unit, aligning with organization standards.
Directly or indirectly lead multiple roles on collaborative delivery teams, Data Scientists, Data Analysts, Data Architects, and other supporting roles.
Frequently interface with executive leadership, synthesizing large, complex topics into succinct and consumable forms for highest impact and decision-making.
Provide strategic leadership and direction for departments/functions, continuously challenging the status quo by evaluating current processes and practices against industry standards both inside and outside of healthcare.
Mentor and coach managers, supervisors, and analytic caregivers, ensuring adequate management succession plans are in place.
Provide ongoing training, maintenance, monitoring, and promotion of data applications and reports to ensure data insights are widely known, accessible, and used to their fullest potential.
Manage business and stakeholder relationships within areas of responsibility, focusing on solutions and strategies that create win-win situations both inside and outside of the analytic organization.
Deliver results for areas of responsibility, including goal setting, implementation, and problem/issue resolution

View full posting on CareerOneStop → ID: 968abcc51a35

Medicaid Business Intelligence Engineer

Humana · Boise, ID

Mid-level Master's

2026-05-29

ID 2026-05-29

Requirements

2+ years of experience in Python and Pandas Python library.
2+ years of experience in Jupyter Notebook environment.
2+ years of experience in Databricks Platform.
2+ years of experience in Microsoft PowerBI or other data visualization software.
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes.
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care.
Experience in Medicaid.
Experience in risk adjustment.
Experience with data mining and predictive modeling techniques.
Ability to use data to drive business outcomes and decisions.
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.

View full posting on CareerOneStop → ID: 90e3b0972ce6

Business Intel Engineer II - AMZ27162.1

Amazon · Seattle, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

Preferred

All applicants must meet all the above listed requirements.

View full posting on CareerOneStop → ID: 9cc8cf91d89e

Business Intelligence Engineer

Humana · Olympia, WA

Mid-level

2026-05-29

WA 2026-05-29

Requirements

3+ years of data analysis experience
3+ years advanced experience developing complex SQL queries
Advanced knowledge of Excel (ex. Pivot tables, VLOOKUP's, formatting, etc.)
Expertise in assessing complex data sets and performing root cause analysis
Experience with Azure, Data Bricks, SQL, and business intelligence tools.
Strong analytical, problem-solving, and communication skills.
Ability to interpret business requirements for provider operations and translate them into technical solutions.

Preferred

Experience with Humana systems, specifically Service Fund
Experience creating analytics solutions for various healthcare sectors/understanding healthcare related data
Experience with tools such as Power BI for creating data visualizations
Expertise in data mining
Experience with database and/or data system migrations
Experience with SQL Servers, Data Bricks, Cloud, Power Platform
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Responsibilities

Utilizes technical skills to drive process improvement
Conducts data research and/or data processing trouble shooting
Assists in producing data ad hoc requests using Excel, PowerPoint, Power BI/Power Platform, and other various analytical tools
Supports the Senior Business Intelligence Engineers on the Service Fund team
Develops data reporting tools and reporting automation
Develop and optimize ETL pipelines using UDAP to consolidate data from multiple sources, ensuring data integrity for Service Fund and provider operations
Develop and maintain User Testing acceptance data models that optimize data quality using SQL, Python and/or Data Bricks
*Collaboration & Continuous Improvement:
Can independently work with cross-functional teams-including business operations, IT, and provider relations-to streamline data processes
Support requirements gathering and define Business Use Case user stories as part of system reporting enhancements needs
*The ideal applicant will possess the following skills:
Industry Knowledge
Business Acumen
Engaging Presentations
Decision Making
Project Management
Business Analytics
Analytical Thinking
Problem Solving
Emerging Technologies
*Use your skills to make an impact

View full posting on CareerOneStop → ID: ead3e1c84b7d

Business Intelligence Lead - CAHPS & HOS Analytics

Humana · Olympia, WA

Senior Bachelor's

2026-05-29

WA 2026-05-29

Requirements

Bachelor's degree and 5+ years of technical experience in business intelligence, analytics, or survey data analysis
2 or more years of project leadership experience
Advanced experience in dashboard development, reporting automation, and working with big and complex data sets
Experience analyzing data to solve a wide variety of business problems and creating data visualizations that drive strategic direction
Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
Expertise with BI tools such as Power BI or Tableau
Demonstrated ability to streamline data operations and reduce manual effort through automation
Proficiency in verbal/written communication to senior and executive leadership
Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred

Advanced Degreein a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or relevant certifications (e.g., CBIP, Lean Six Sigma)
Experience in Medicare, Stars, or healthcare analytics
Experience working with CAHPS & HOS or other survey data
Advanced in SQL, SAS and other data systems
Experience programming in Python
Expertise in data mining, forecasting, simulation, and/or predictive modeling
Experience with automation tools and technologies to automate workflows, data pipelines, and reporting processes
*Additional Information

View full posting on CareerOneStop → ID: 3fb8d952eed2

Data Analyst

Cognizant · Olympia, WA

Mid-level Bachelor's

2026-05-29

WA 2026-05-29

Requirements

3+ years of experience in data analytics, business intelligence, or a related role within a software delivery or engineering environment.
Proficiency with BI/visualization tools, particularly Power BI.
Experience building and configuring data pipelines and integrations (ETL/ELT workflows, API integrations, scheduled data pulls).
Working knowledge of SQL and at least one scripting language (Python, R, or similar) for data transformation and automation.
Hands-on experience with Atlassian tooling (Jira, Confluence, Bitbucket) with the ability to extract, model, and report on their data.
Strong communicator who can present findings to both technical and non-technical stakeholders independently.
Demonstrated ability to work autonomously and exercise independent judgment on approach and escalation.
Experience with software delivery metrics frameworks (DORA, SPACE, or similar) preferred.
Background in logistics, warehousing, or 24/7 operational environments is a plus.
Bachelor's degree in a related field preferred, or equivalent experience.
*Compensation: - $70,000 to $100,000 + COLA and this position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Application will be accepted by 6/28/2026
*Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions

View full posting on CareerOneStop → ID: e523d905efe6

Data Analyst, Market Intelligence & Insights

Cardinal Health · Olympia, WA

Mid-level Bachelor's

2026-05-29

WA 2026-05-29

Requirements

Bachelor's degree or equivalent work experience preferred.
Typically 5-8 years of experience in analytics, strategy, consulting, operations, or related healthcare roles preferred.
Excellent analytical, organizational, and critical-thinking skills.
Demonstrated ability to manage complex, cross-functional work independently.
Strong written and verbal communication skills with the ability to translate complexity into clear insights.
Experience in healthcare, pharmaceutical distribution, specialty pharmacy, or healthcare services.
Proficiency with data and reporting tools such as Excel, Tableau, Looker, and Salesforce (including reporting, dashboards, and pipeline management)
Experience leveraging AI tools (e.g., Microsoft Copilot, Gemini, ChatGPT, or similar) to accelerate analysis, automate workflows, and generate business insights
Knowledge and proficiency with biosimilar and Advanced therapy pipeline tools such as MMIT, IPD, Zymewire
*What is expected of you and others at this level
Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects.
Participates in the development of policies, procedures, and standards to achieve business objectives.
Recommends new practices, processes, metrics, or models that may set precedent.
Receives guidance on overall project objectives while determining methods for completion.
Work has cross-functional visibility and potential long-term impact.
Acts as a mentor to less experienced colleagues.

Preferred

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

Strategy, Analytics & Insight
Uses AI-assisted analytics tools (e.g., Copilot, Gemini, LLM-based tools) to rapidly synthesize large datasets, identify trends, and generate actionable insights.
Applies prompt engineering and AI-driven workflows to enhance modeling, reporting, and business case development.
Applies advanced analytical and business judgment to evaluate complex and ambiguous problems, generating actionable insights that inform strategic and operational decisions.
Develops data-driven analyses, business cases, revenue projections, and performance metrics to support portfolio management, pricing, product roadmapping, and growth initiatives.
Leverages internal and external data sources, market intelligence, and competitive insights to support prioritization, planning, and decision-making.
Prepares executive-ready materials and presentations for senior leadership and cross-functional stakeholders.
Pipeline, Portfolio & Reporting
Owns and maintains biosimilar and Advanced therapy pipelines, initiative, or product reporting, ensuring data accuracy, consistency, and alignment across stakeholders.
Designs and delivers standardized dashboards, reporting tools, and AI-enabled insights (e.g., automated summaries, anomaly detection, predictive signals) to improve visibility and decision support.
Monitors product or portfolio changes (e.g., launches, exits, substitutions, contract updates) and conducts impact analyses to assess downstream operational and commercial effects.
Leverages Salesforce data and reporting capabilities to build scalable pipeline visibility, forecasting, and performance tracking tools.
Utilizes AI tools to automate recurring reporting, generate narrative insights, and reduce manual analysis effort.
Process Design & Operational Excellence
Identifies opportunities to integrate AI and automation tools to streamline workflows, reduce manual effort, and improve analytical scalability.
Cross-Functional Partnership & Influence
Collaborates with Product, Marketing, Operations, Sales, and Analytics teams to enable execution readiness and aligned outcomes.
Supports sales enablement activities, customer targeting, leadership meetings, and conference preparation as needed.
Professional Leadership
Recommends new processes, metrics, models, or approaches with meaningful operational or strategic impact.
Acts as a mentor to less experienced colleagues, contributing to a collaborative and high-performing team environment.

View full posting on CareerOneStop → ID: 908b1f0a373d

Medicaid Business Intelligence Engineer

Humana · Olympia, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

2+ years of experience in Python and Pandas Python library.
2+ years of experience in Jupyter Notebook environment.
2+ years of experience in Databricks Platform.
2+ years of experience in Microsoft PowerBI or other data visualization software.
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes.
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care.
Experience in Medicaid.
Experience in risk adjustment.
Experience with data mining and predictive modeling techniques.
Ability to use data to drive business outcomes and decisions.
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.

View full posting on CareerOneStop → ID: badcf1f31939

Senior Data Analyst

Nike · Beaverton, OR

Senior Master's

2026-05-29

WA 2026-05-29

Senior Data Analyst- NIKE, Inc.- Beaverton, OR. Design, develop, and implement new decision support solutions that help the business leverage data to make informed decisions; assist the business Product Owner with requirements gathering, documentation, and story creation, while taking ownership of d

View full posting on CareerOneStop → ID: 51b54bf38ae5

Business Intelligence Engineer

Humana · Salem, OR

Mid-level

2026-05-29

OR 2026-05-29

Requirements

3+ years of data analysis experience
3+ years advanced experience developing complex SQL queries
Advanced knowledge of Excel (ex. Pivot tables, VLOOKUP's, formatting, etc.)
Expertise in assessing complex data sets and performing root cause analysis
Experience with Azure, Data Bricks, SQL, and business intelligence tools.
Strong analytical, problem-solving, and communication skills.
Ability to interpret business requirements for provider operations and translate them into technical solutions.

Preferred

Experience with Humana systems, specifically Service Fund
Experience creating analytics solutions for various healthcare sectors/understanding healthcare related data
Experience with tools such as Power BI for creating data visualizations
Expertise in data mining
Experience with database and/or data system migrations
Experience with SQL Servers, Data Bricks, Cloud, Power Platform
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Responsibilities

Utilizes technical skills to drive process improvement
Conducts data research and/or data processing trouble shooting
Assists in producing data ad hoc requests using Excel, PowerPoint, Power BI/Power Platform, and other various analytical tools
Supports the Senior Business Intelligence Engineers on the Service Fund team
Develops data reporting tools and reporting automation
Develop and optimize ETL pipelines using UDAP to consolidate data from multiple sources, ensuring data integrity for Service Fund and provider operations
Develop and maintain User Testing acceptance data models that optimize data quality using SQL, Python and/or Data Bricks
*Collaboration & Continuous Improvement:
Can independently work with cross-functional teams-including business operations, IT, and provider relations-to streamline data processes
Support requirements gathering and define Business Use Case user stories as part of system reporting enhancements needs
*The ideal applicant will possess the following skills:
Industry Knowledge
Business Acumen
Engaging Presentations
Decision Making
Project Management
Business Analytics
Analytical Thinking
Problem Solving
Emerging Technologies
*Use your skills to make an impact

View full posting on CareerOneStop → ID: 375f4b9ef714

Business Intelligence Lead - CAHPS & HOS Analytics

Humana · Salem, OR

Senior Bachelor's

2026-05-29

OR 2026-05-29

Requirements

Bachelor's degree and 5+ years of technical experience in business intelligence, analytics, or survey data analysis
2 or more years of project leadership experience
Advanced experience in dashboard development, reporting automation, and working with big and complex data sets
Experience analyzing data to solve a wide variety of business problems and creating data visualizations that drive strategic direction
Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
Expertise with BI tools such as Power BI or Tableau
Demonstrated ability to streamline data operations and reduce manual effort through automation
Proficiency in verbal/written communication to senior and executive leadership
Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred

Advanced Degreein a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or relevant certifications (e.g., CBIP, Lean Six Sigma)
Experience in Medicare, Stars, or healthcare analytics
Experience working with CAHPS & HOS or other survey data
Advanced in SQL, SAS and other data systems
Experience programming in Python
Expertise in data mining, forecasting, simulation, and/or predictive modeling
Experience with automation tools and technologies to automate workflows, data pipelines, and reporting processes
*Additional Information

View full posting on CareerOneStop → ID: 4c387a6fd86b

Data Analyst

Cognizant · Salem, OR

Mid-level Bachelor's

2026-05-29

OR 2026-05-29

Requirements

3+ years of experience in data analytics, business intelligence, or a related role within a software delivery or engineering environment.
Proficiency with BI/visualization tools, particularly Power BI.
Experience building and configuring data pipelines and integrations (ETL/ELT workflows, API integrations, scheduled data pulls).
Working knowledge of SQL and at least one scripting language (Python, R, or similar) for data transformation and automation.
Hands-on experience with Atlassian tooling (Jira, Confluence, Bitbucket) with the ability to extract, model, and report on their data.
Strong communicator who can present findings to both technical and non-technical stakeholders independently.
Demonstrated ability to work autonomously and exercise independent judgment on approach and escalation.
Experience with software delivery metrics frameworks (DORA, SPACE, or similar) preferred.
Background in logistics, warehousing, or 24/7 operational environments is a plus.
Bachelor's degree in a related field preferred, or equivalent experience.
*Compensation: - $70,000 to $100,000 + COLA and this position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Application will be accepted by 6/28/2026
*Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions

View full posting on CareerOneStop → ID: c6857f6ae480

Data Analyst, Market Intelligence & Insights

Cardinal Health · Salem, OR

Mid-level Bachelor's

2026-05-29

OR 2026-05-29

Requirements

Bachelor's degree or equivalent work experience preferred.
Typically 5-8 years of experience in analytics, strategy, consulting, operations, or related healthcare roles preferred.
Excellent analytical, organizational, and critical-thinking skills.
Demonstrated ability to manage complex, cross-functional work independently.
Strong written and verbal communication skills with the ability to translate complexity into clear insights.
Experience in healthcare, pharmaceutical distribution, specialty pharmacy, or healthcare services.
Proficiency with data and reporting tools such as Excel, Tableau, Looker, and Salesforce (including reporting, dashboards, and pipeline management)
Experience leveraging AI tools (e.g., Microsoft Copilot, Gemini, ChatGPT, or similar) to accelerate analysis, automate workflows, and generate business insights
Knowledge and proficiency with biosimilar and Advanced therapy pipeline tools such as MMIT, IPD, Zymewire
*What is expected of you and others at this level
Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects.
Participates in the development of policies, procedures, and standards to achieve business objectives.
Recommends new practices, processes, metrics, or models that may set precedent.
Receives guidance on overall project objectives while determining methods for completion.
Work has cross-functional visibility and potential long-term impact.
Acts as a mentor to less experienced colleagues.

Preferred

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

Strategy, Analytics & Insight
Uses AI-assisted analytics tools (e.g., Copilot, Gemini, LLM-based tools) to rapidly synthesize large datasets, identify trends, and generate actionable insights.
Applies prompt engineering and AI-driven workflows to enhance modeling, reporting, and business case development.
Applies advanced analytical and business judgment to evaluate complex and ambiguous problems, generating actionable insights that inform strategic and operational decisions.
Develops data-driven analyses, business cases, revenue projections, and performance metrics to support portfolio management, pricing, product roadmapping, and growth initiatives.
Leverages internal and external data sources, market intelligence, and competitive insights to support prioritization, planning, and decision-making.
Prepares executive-ready materials and presentations for senior leadership and cross-functional stakeholders.
Pipeline, Portfolio & Reporting
Owns and maintains biosimilar and Advanced therapy pipelines, initiative, or product reporting, ensuring data accuracy, consistency, and alignment across stakeholders.
Designs and delivers standardized dashboards, reporting tools, and AI-enabled insights (e.g., automated summaries, anomaly detection, predictive signals) to improve visibility and decision support.
Monitors product or portfolio changes (e.g., launches, exits, substitutions, contract updates) and conducts impact analyses to assess downstream operational and commercial effects.
Leverages Salesforce data and reporting capabilities to build scalable pipeline visibility, forecasting, and performance tracking tools.
Utilizes AI tools to automate recurring reporting, generate narrative insights, and reduce manual analysis effort.
Process Design & Operational Excellence
Identifies opportunities to integrate AI and automation tools to streamline workflows, reduce manual effort, and improve analytical scalability.
Cross-Functional Partnership & Influence
Collaborates with Product, Marketing, Operations, Sales, and Analytics teams to enable execution readiness and aligned outcomes.
Supports sales enablement activities, customer targeting, leadership meetings, and conference preparation as needed.
Professional Leadership
Recommends new processes, metrics, models, or approaches with meaningful operational or strategic impact.
Acts as a mentor to less experienced colleagues, contributing to a collaborative and high-performing team environment.

View full posting on CareerOneStop → ID: 0dcf57c10589

Director - Data Analytics

Intermountain Health · Salem, OR

Director Master's

2026-05-29

OR 2026-05-29

Requirements

Strategic Vision
Executive Interaction
Platform Mastery
Leadership Excellence
Stakeholder Strategy
Bachelor's Degree in a related field with extensive professional experience in analytics and project management.
Demonstrable experience in leading system-wide analytics projects and developing system solutions.
Recognized domain expertise in clinical and business domains.
Extensive expertise in Product Management, Project Management, or Program Management philosophies and methodologies, and capable of strategically applying them to complex data analytic projects to ensure alignment with business goals and efficient execution.
Recognized thought leadership and ability to serve as an extension of senior data leaders.
Demonstrated executive presence and proficiency in managing stakeholder relationships
Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.
With this position, you are eligible to participate in the Annual Pay for Performance (AP4P) Plan. This plan enables Intermountain Health to provide leaders with an additional performance compensation opportunity. The AP4P award opportunities are calculated as a percentage of your base salary. Awards are paid out based on attainment of selected Board-approved goals.

Preferred

Master's Degree in a related data or analytics field such as statistics, mathematics, information systems, computer science, finance, business management, or economics.

Responsibilities

A strategic leader overseeing data and analytics operations across various departments and regions. This role involves directing analytical strategies to provide accurate and timely data for guiding decisions. Leads high-impact teams with expertise in healthcare data, partnering with business and clinical leaders to deploy world-class data analytics and support the mission of helping people live the healthiest lives possible and business strategies.
This Director role provides strategic leadership across key Enterprise Analytics functions, with specific responsibility for Supply Chain Analytics, Human Resource Analytics, and other Shared Services Analytics teams. The leader will partner closely with stakeholders and analytics teams to set priorities, focus drive high-impact initiatives, strengthen governance and delivery standards, and ensure analytics capabilities create measurable value across the organization.
Candidates outside of Utah may be considered, but we are are not currently hiring remote workers in the following states: CA, CT, HI, IL, NY, RI, VT, and WA. Business travel will be necessary, regardless of state of residence, and will primarily be within Intermountain Health's service area (UT, ID, NV, CO, WY, MT), but may also require travel within the United States.
*Essential Functions
Develop and execute strategic plans for the entire data and analytics division, ensuring alignment with Intermountain strategies.
Lead governance and prioritization workgroups, ensuring work priorities align with business unit, region, and system priorities. Must effectively communicate with executives under high pressure and tight timelines.
Accountable for delivering high performance on Enterprise Analytics key performance indicators (KPIs) across all teams, such as Strategic Impact, Value Realization, and Team Engagement.
Possess an expert understanding of data platforms and architectures to enable strong partnerships with data architects, advisors, and analystsin developing analytic solutions.
Ensure that managers of teams responsible for data deliverables adopt best practice standards that align with overall analytic and business strategies.
Ensure alignment and support of Data Governance strategy, including data stewardship and data quality for the entire business unit, aligning with organization standards.
Directly or indirectly lead multiple roles on collaborative delivery teams, Data Scientists, Data Analysts, Data Architects, and other supporting roles.
Frequently interface with executive leadership, synthesizing large, complex topics into succinct and consumable forms for highest impact and decision-making.
Provide strategic leadership and direction for departments/functions, continuously challenging the status quo by evaluating current processes and practices against industry standards both inside and outside of healthcare.
Mentor and coach managers, supervisors, and analytic caregivers, ensuring adequate management succession plans are in place.
Provide ongoing training, maintenance, monitoring, and promotion of data applications and reports to ensure data insights are widely known, accessible, and used to their fullest potential.
Manage business and stakeholder relationships within areas of responsibility, focusing on solutions and strategies that create win-win situations both inside and outside of the analytic organization.
Deliver results for areas of responsibility, including goal setting, implementation, and problem/issue resolution

View full posting on CareerOneStop → ID: 985688d6d9ef

Medicaid Business Intelligence Engineer

Humana · Salem, OR

Mid-level Master's

2026-05-29

OR 2026-05-29

Requirements

2+ years of experience in Python and Pandas Python library.
2+ years of experience in Jupyter Notebook environment.
2+ years of experience in Databricks Platform.
2+ years of experience in Microsoft PowerBI or other data visualization software.
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes.
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care.
Experience in Medicaid.
Experience in risk adjustment.
Experience with data mining and predictive modeling techniques.
Ability to use data to drive business outcomes and decisions.
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.

View full posting on CareerOneStop → ID: b9c9c9702a10

Business Intelligence Engineer

Humana · Helena, MT

Mid-level

2026-05-29

MT 2026-05-29

Requirements

3+ years of data analysis experience
3+ years advanced experience developing complex SQL queries
Advanced knowledge of Excel (ex. Pivot tables, VLOOKUP's, formatting, etc.)
Expertise in assessing complex data sets and performing root cause analysis
Experience with Azure, Data Bricks, SQL, and business intelligence tools.
Strong analytical, problem-solving, and communication skills.
Ability to interpret business requirements for provider operations and translate them into technical solutions.

Preferred

Experience with Humana systems, specifically Service Fund
Experience creating analytics solutions for various healthcare sectors/understanding healthcare related data
Experience with tools such as Power BI for creating data visualizations
Expertise in data mining
Experience with database and/or data system migrations
Experience with SQL Servers, Data Bricks, Cloud, Power Platform
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Responsibilities

Utilizes technical skills to drive process improvement
Conducts data research and/or data processing trouble shooting
Assists in producing data ad hoc requests using Excel, PowerPoint, Power BI/Power Platform, and other various analytical tools
Supports the Senior Business Intelligence Engineers on the Service Fund team
Develops data reporting tools and reporting automation
Develop and optimize ETL pipelines using UDAP to consolidate data from multiple sources, ensuring data integrity for Service Fund and provider operations
Develop and maintain User Testing acceptance data models that optimize data quality using SQL, Python and/or Data Bricks
*Collaboration & Continuous Improvement:
Can independently work with cross-functional teams-including business operations, IT, and provider relations-to streamline data processes
Support requirements gathering and define Business Use Case user stories as part of system reporting enhancements needs
*The ideal applicant will possess the following skills:
Industry Knowledge
Business Acumen
Engaging Presentations
Decision Making
Project Management
Business Analytics
Analytical Thinking
Problem Solving
Emerging Technologies
*Use your skills to make an impact

View full posting on CareerOneStop → ID: 0a6ffa21ccff

Business Intelligence Lead - CAHPS & HOS Analytics

Humana · Helena, MT

Senior Bachelor's

2026-05-29

MT 2026-05-29

Requirements

Bachelor's degree and 5+ years of technical experience in business intelligence, analytics, or survey data analysis
2 or more years of project leadership experience
Advanced experience in dashboard development, reporting automation, and working with big and complex data sets
Experience analyzing data to solve a wide variety of business problems and creating data visualizations that drive strategic direction
Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
Expertise with BI tools such as Power BI or Tableau
Demonstrated ability to streamline data operations and reduce manual effort through automation
Proficiency in verbal/written communication to senior and executive leadership
Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred

Advanced Degreein a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or relevant certifications (e.g., CBIP, Lean Six Sigma)
Experience in Medicare, Stars, or healthcare analytics
Experience working with CAHPS & HOS or other survey data
Advanced in SQL, SAS and other data systems
Experience programming in Python
Expertise in data mining, forecasting, simulation, and/or predictive modeling
Experience with automation tools and technologies to automate workflows, data pipelines, and reporting processes
*Additional Information

View full posting on CareerOneStop → ID: 43375e169788

Data Analyst

Cognizant · Helena, MT

Mid-level Bachelor's

2026-05-29

MT 2026-05-29

Requirements

3+ years of experience in data analytics, business intelligence, or a related role within a software delivery or engineering environment.
Proficiency with BI/visualization tools, particularly Power BI.
Experience building and configuring data pipelines and integrations (ETL/ELT workflows, API integrations, scheduled data pulls).
Working knowledge of SQL and at least one scripting language (Python, R, or similar) for data transformation and automation.
Hands-on experience with Atlassian tooling (Jira, Confluence, Bitbucket) with the ability to extract, model, and report on their data.
Strong communicator who can present findings to both technical and non-technical stakeholders independently.
Demonstrated ability to work autonomously and exercise independent judgment on approach and escalation.
Experience with software delivery metrics frameworks (DORA, SPACE, or similar) preferred.
Background in logistics, warehousing, or 24/7 operational environments is a plus.
Bachelor's degree in a related field preferred, or equivalent experience.
*Compensation: - $70,000 to $100,000 + COLA and this position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Application will be accepted by 6/28/2026
*Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions

View full posting on CareerOneStop → ID: 4f8e0582991f

Data Analyst, Market Intelligence & Insights

Cardinal Health · Helena, MT

Mid-level Bachelor's

2026-05-29

MT 2026-05-29

Requirements

Bachelor's degree or equivalent work experience preferred.
Typically 5-8 years of experience in analytics, strategy, consulting, operations, or related healthcare roles preferred.
Excellent analytical, organizational, and critical-thinking skills.
Demonstrated ability to manage complex, cross-functional work independently.
Strong written and verbal communication skills with the ability to translate complexity into clear insights.
Experience in healthcare, pharmaceutical distribution, specialty pharmacy, or healthcare services.
Proficiency with data and reporting tools such as Excel, Tableau, Looker, and Salesforce (including reporting, dashboards, and pipeline management)
Experience leveraging AI tools (e.g., Microsoft Copilot, Gemini, ChatGPT, or similar) to accelerate analysis, automate workflows, and generate business insights
Knowledge and proficiency with biosimilar and Advanced therapy pipeline tools such as MMIT, IPD, Zymewire
*What is expected of you and others at this level
Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects.
Participates in the development of policies, procedures, and standards to achieve business objectives.
Recommends new practices, processes, metrics, or models that may set precedent.
Receives guidance on overall project objectives while determining methods for completion.
Work has cross-functional visibility and potential long-term impact.
Acts as a mentor to less experienced colleagues.

Preferred

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

Strategy, Analytics & Insight
Uses AI-assisted analytics tools (e.g., Copilot, Gemini, LLM-based tools) to rapidly synthesize large datasets, identify trends, and generate actionable insights.
Applies prompt engineering and AI-driven workflows to enhance modeling, reporting, and business case development.
Applies advanced analytical and business judgment to evaluate complex and ambiguous problems, generating actionable insights that inform strategic and operational decisions.
Develops data-driven analyses, business cases, revenue projections, and performance metrics to support portfolio management, pricing, product roadmapping, and growth initiatives.
Leverages internal and external data sources, market intelligence, and competitive insights to support prioritization, planning, and decision-making.
Prepares executive-ready materials and presentations for senior leadership and cross-functional stakeholders.
Pipeline, Portfolio & Reporting
Owns and maintains biosimilar and Advanced therapy pipelines, initiative, or product reporting, ensuring data accuracy, consistency, and alignment across stakeholders.
Designs and delivers standardized dashboards, reporting tools, and AI-enabled insights (e.g., automated summaries, anomaly detection, predictive signals) to improve visibility and decision support.
Monitors product or portfolio changes (e.g., launches, exits, substitutions, contract updates) and conducts impact analyses to assess downstream operational and commercial effects.
Leverages Salesforce data and reporting capabilities to build scalable pipeline visibility, forecasting, and performance tracking tools.
Utilizes AI tools to automate recurring reporting, generate narrative insights, and reduce manual analysis effort.
Process Design & Operational Excellence
Identifies opportunities to integrate AI and automation tools to streamline workflows, reduce manual effort, and improve analytical scalability.
Cross-Functional Partnership & Influence
Collaborates with Product, Marketing, Operations, Sales, and Analytics teams to enable execution readiness and aligned outcomes.
Supports sales enablement activities, customer targeting, leadership meetings, and conference preparation as needed.
Professional Leadership
Recommends new processes, metrics, models, or approaches with meaningful operational or strategic impact.
Acts as a mentor to less experienced colleagues, contributing to a collaborative and high-performing team environment.

View full posting on CareerOneStop → ID: c227077fcbf0

Director - Data Analytics

Intermountain Health · Helena, MT

Director Master's

2026-05-29

MT 2026-05-29

Requirements

Strategic Vision
Executive Interaction
Platform Mastery
Leadership Excellence
Stakeholder Strategy
Bachelor's Degree in a related field with extensive professional experience in analytics and project management.
Demonstrable experience in leading system-wide analytics projects and developing system solutions.
Recognized domain expertise in clinical and business domains.
Extensive expertise in Product Management, Project Management, or Program Management philosophies and methodologies, and capable of strategically applying them to complex data analytic projects to ensure alignment with business goals and efficient execution.
Recognized thought leadership and ability to serve as an extension of senior data leaders.
Demonstrated executive presence and proficiency in managing stakeholder relationships
Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.
With this position, you are eligible to participate in the Annual Pay for Performance (AP4P) Plan. This plan enables Intermountain Health to provide leaders with an additional performance compensation opportunity. The AP4P award opportunities are calculated as a percentage of your base salary. Awards are paid out based on attainment of selected Board-approved goals.

Preferred

Master's Degree in a related data or analytics field such as statistics, mathematics, information systems, computer science, finance, business management, or economics.

Responsibilities

A strategic leader overseeing data and analytics operations across various departments and regions. This role involves directing analytical strategies to provide accurate and timely data for guiding decisions. Leads high-impact teams with expertise in healthcare data, partnering with business and clinical leaders to deploy world-class data analytics and support the mission of helping people live the healthiest lives possible and business strategies.
This Director role provides strategic leadership across key Enterprise Analytics functions, with specific responsibility for Supply Chain Analytics, Human Resource Analytics, and other Shared Services Analytics teams. The leader will partner closely with stakeholders and analytics teams to set priorities, focus drive high-impact initiatives, strengthen governance and delivery standards, and ensure analytics capabilities create measurable value across the organization.
Candidates outside of Utah may be considered, but we are are not currently hiring remote workers in the following states: CA, CT, HI, IL, NY, RI, VT, and WA. Business travel will be necessary, regardless of state of residence, and will primarily be within Intermountain Health's service area (UT, ID, NV, CO, WY, MT), but may also require travel within the United States.
*Essential Functions
Develop and execute strategic plans for the entire data and analytics division, ensuring alignment with Intermountain strategies.
Lead governance and prioritization workgroups, ensuring work priorities align with business unit, region, and system priorities. Must effectively communicate with executives under high pressure and tight timelines.
Accountable for delivering high performance on Enterprise Analytics key performance indicators (KPIs) across all teams, such as Strategic Impact, Value Realization, and Team Engagement.
Possess an expert understanding of data platforms and architectures to enable strong partnerships with data architects, advisors, and analystsin developing analytic solutions.
Ensure that managers of teams responsible for data deliverables adopt best practice standards that align with overall analytic and business strategies.
Ensure alignment and support of Data Governance strategy, including data stewardship and data quality for the entire business unit, aligning with organization standards.
Directly or indirectly lead multiple roles on collaborative delivery teams, Data Scientists, Data Analysts, Data Architects, and other supporting roles.
Frequently interface with executive leadership, synthesizing large, complex topics into succinct and consumable forms for highest impact and decision-making.
Provide strategic leadership and direction for departments/functions, continuously challenging the status quo by evaluating current processes and practices against industry standards both inside and outside of healthcare.
Mentor and coach managers, supervisors, and analytic caregivers, ensuring adequate management succession plans are in place.
Provide ongoing training, maintenance, monitoring, and promotion of data applications and reports to ensure data insights are widely known, accessible, and used to their fullest potential.
Manage business and stakeholder relationships within areas of responsibility, focusing on solutions and strategies that create win-win situations both inside and outside of the analytic organization.
Deliver results for areas of responsibility, including goal setting, implementation, and problem/issue resolution

View full posting on CareerOneStop → ID: e79add92f532

Medicaid Business Intelligence Engineer

Humana · Helena, MT

Mid-level Master's

2026-05-29

MT 2026-05-29

Requirements

2+ years of experience in Python and Pandas Python library.
2+ years of experience in Jupyter Notebook environment.
2+ years of experience in Databricks Platform.
2+ years of experience in Microsoft PowerBI or other data visualization software.
2+ years of experience working with Big Data and performing root cause analysis.
2+ years of experience in business ownership of data processes.
In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.

Preferred

Experience in Managed Care.
Experience in Medicaid.
Experience in risk adjustment.
Experience with data mining and predictive modeling techniques.
Ability to use data to drive business outcomes and decisions.
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.

View full posting on CareerOneStop → ID: 2cb643fed1be

Anti-Fraud Risk Data Analyst (Multiple Positions)

TT Commerce & Global Services LLC · Bellevue, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

Must have a Master's degree or foreign equivalent degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Business Analytics, Economics, Finance, Risk Management, or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Business Analytics, Economics, Finance, Risk Management, or a related quantitative field, and 3 years of related work experience.
Of the required experience, must have 1 year of experience in each of the following:
Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing;
Using SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including MySQL, Microsoft SQL Server, or PostgreSQL;
Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and
Building, tuning, and validating statistical models for regression and classification problems in Python or R.
Travel Requirement: Domestic and international travel required up to 10%.
Type: Full time, 40 hours/week
Location: Bellevue, WA

Responsibilities

Monitor, audit, and analyze potential fraudulent cases and consolidate anti-fraud rules.
Design processes and build effective workflows to define characteristics of different fraud types, capture new risk types, and collaborate with cross-functional teams to drive improvements of existing tools, processes, and models related to fraud management.
Understand the trends and intelligence of fraudulent activities in each local market and build intelligence monitoring systems to mitigate fraud.
Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented.
Research fraud-related policies and build effective enforcement processes to prevent and penalize bad actors while balancing user experiences.
Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.

View full posting on CareerOneStop → ID: 831bd1f828b0

Business Intel Engineer II - AMZ27162.1

Amazon Data Services, Inc. · Seattle, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

View full posting on CareerOneStop → ID: dcbb428d7427

Business Intel Engineer II - AMZ27162.1

Amazon Data Services, Inc. · Seattle, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

View full posting on CareerOneStop → ID: d1350248557a

Business Intel Engineer II - AMZ27162.1

Amazon Data Services, Inc. · Seattle, WA

Mid-level Master's

2026-05-29

WA 2026-05-29

Requirements

Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

View full posting on CareerOneStop → ID: efc4c5bdf44f

Business Intelligence Analyst 1

Chegg Inc. · Malta, MT

Mid-level

2026-05-29

MT 2026-05-29

Job DescriptionSenior Product Analyst Team: Product & Applied Learning Location: Remote (U.S.) About Chegg Skills helps working adults build the skills they need to access better jobs-faster and more affordably. Our Product & Applied Learning team owns the student-facing learning environment-from co

View full posting on CareerOneStop → ID: dfc24f186d55

Business Intelligence Engineer, Supply Chain Execution Team

Amazon · Bellevue, WA

Mid-level

2026-05-28

WA 2026-05-28

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Define and maintain analytical frameworks that translate operational knowledge into quantified target states across fulfillment network domains, working with supply chain partners to document what good performance looks like and how to measure distance from target
Build and support data pipelines and dashboards that evaluate whether plans are converging toward target states, including automated reporting on plan deviations, constraint violations, and execution misses with root-cause attribution
Audit upstream data inputs that feed the planning chain-including transit time configurations, forecast accuracy, inventory health, and capacity assumptions-to ensure the analytical foundation remains reliable
Partner with supply chain optimization and operations teams to surface where system outcomes diverge from network-level goals, quantify the impact, and support investigation into root causes
Contribute to evolving our measurement systems as the network changes, updating target-state definitions and detection methodologies to stay relevant as new fulfillment centers open and operational patterns shift
You'll focus on strengthening the analytical definitions and measurement systems that guide our fulfillment network's planning and execution. Your day might include collaborating with supply chain planners to refine how we measure network balance across regions, validating the data inputs that feed our planning systems, or investigating why a weekly plan deviated from reality and documenting the root cause for the team to learn from.
You'll work across multiple domains-from demand forecasting accuracy to inventory positioning to transfer effectiveness-each requiring you to translate operational complexity into clear, measurable definitions. You'll partner with our supply chain optimization team to understand how their systems perform at the network level, then surface where outcomes could improve. You'll also support our operations teams by ensuring they have the dashboards and reports they need to make decisions at their level of detail.
Beyond routine responsibilities, you'll contribute to evolving how we think about planning. As the network changes-new fulfillment centers open, regionalization shifts, seasonal patterns evolve-you'll help us update our target-state definitions so our metrics stay relevant. You'll participate in designing new measurement frameworks that move us from understanding what happened to predicting what will happen next.

View full posting on CareerOneStop → ID: d87e4d44ca92

Business Intelligence Engineer, WWGS Retail BI

Amazon · Seattle, WA

Mid-level Master's

2026-05-28

WA 2026-05-28

Requirements

Strong SQL and data modeling skills, experience with BI visualization tools (Tableau/QuickSight), ability to translate ambiguous business requirements into technical solutions, and excellent communication skills for both technical and non-technical audiences. You'll work independently with limited guidance while knowing when to collaborate and seek direction.
Ready to shape the future of grocery analytics? This role offers the unique opportunity to combine traditional BI excellence with emerging AI capabilities, positioning you at the forefront of how data teams serve business stakeholders.
Bachelor's degree in sciences, engineering, finance or equivalent
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Knowledge of SQL and data warehousing concepts
Experience with data modeling, warehousing and building ETL pipelines
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Preferred

Master's degree in sciences, engineering, finance or equivalent
5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
5+ years of retail, grocery, or customer-facing, or 2+ years of retail or operations experience

Responsibilities

Build scalable analytics infrastructure: Design and implement automated ETL pipelines, data models, and reporting solutions using AWS technologies (Redshift, Athena, QuickSight, S3) that transform raw data into actionable insights for marketing and customer lifecycle teams
Drive marketing measurement excellence: Own end-to-end attribution analysis, customer funnel instrumentation, and lifecycle segmentation frameworks that enable data-driven investment decisions across multi-million dollar marketing budgets
Develop AI-powered analytics solutions: Create conversational AI agents and automated insight generation tools that enable business stakeholders to self-serve complex analyses, reducing time-to-insight from days to minutes
Partner cross-functionally: Collaborate with Marketing, Product, Tech, and Data teams to translate ambiguous business requirements into technical solutions, establish unified measurement standards, and drive alignment on strategic initiatives
Deliver actionable insights: Conduct deep-dive analyses on customer behavior, campaign performance, and funnel optimization opportunities that directly inform business strategy and tactical execution
Ensure data quality and reliability: Implement monitoring, validation, and documentation practices that maintain trust in analytics outputs and enable confident decision-making
Mentor and influence: Share best practices, contribute to team technical standards, and elevate the analytical capabilities of both technical and non-technical stakeholders
You'll start most days reviewing overnight metrics-did marketing campaigns perform as expected? Any funnel drop-offs requiring investigation? You'll partner closely with Marketing PMs and Online Growth teams to translate their questions into analyses, often jumping into SQL to pull data or building QuickSight dashboards for self-service access.
Mid-morning might involve a working session with Tech teams to instrument new customer touchpoints or debug attribution gaps. Afternoons could mean presenting findings to leadership, prototyping an AI agent that answers common stakeholder questions, or collaborating with Data Engineering on pipeline improvements.
You'll balance planned projects (building attribution frameworks, lifecycle segmentation models) with urgent requests (explaining yesterday's order spike, validating experiment results). Some days you're deep in code; others you're whiteboarding measurement strategies with cross-functional partners. The variety keeps it interesting-you're never just pulling reports; you're solving puzzles that directly impact how Amazon invests millions in customer acquisition.

View full posting on CareerOneStop → ID: 93b9b29c1b38

Senior Business Intelligence Engineer, Global Logistics Analytics

Amazon · Bellevue, WA

Senior

2026-05-28

WA 2026-05-28

Requirements

10+ years of relevant professional or military experience
5+ years of SQL experience
Experience in ETL management/data pipeline
2+ years of data visualization and reports tools experience
Experience with scripting for automation (e.g., Python) and AWS technologies
Experience applying statistical analysis methods and experimental design to business problems

Preferred

Experience in program management, logistics, operations, supply chain, transportation, or a related field
Experience translating between complex data and business needs for non-technical stakeholders, including senior leadership
Experience designing measurement frameworks, KPI systems, or analytics strategies for new business initiatives
Experience with machine learning, predictive modeling, or advanced forecasting applied to operational optimization
Experience mentoring or coaching analysts/engineers on analytical methodologies and best practices
Experience building self-service BI platforms that scale across cross-functional teams

Responsibilities

Own the end-to-end analytics strategy for GL Product & GTM, designing measurement systems, KPIs, and business metrics that guide investment decisions, product roadmaps, and operational performance across ocean freight, air freight, customs clearance, and emerging logistics solutions.
Architect and deliver self-service BI tools (dashboards, reports, automated pipelines) that empower a 12-person cross-functional team and senior leaders to independently access and act on data-reducing time-to-insight and enabling faster decision-making.
Size and prioritize business growth opportunities by building analytical models, applying statistical methods, and conducting deep-dive investigations to maximize return on effort and reduce lead-times from concept to launch.
Partner with centralized Data Engineering teams to improve data assets, quality, and accessibility-driving requirements for new data sources and ensuring reliable insights from large-scale, multi-source datasets.
Communicate findings and coach peers by writing concise documents, publishing data-driven recommendations to VP-level audiences, and mentoring team members who lead functional strategies on how to leverage data effectively.
You might start your morning reviewing dashboard metrics on freight volume and seller adoption, then dive into a deep-dive analysis sizing a new customs clearance opportunity. After lunch, you'll partner with Product Managers to define success metrics for an upcoming launch, followed by presenting quarterly performance insights to GL leadership.

View full posting on CareerOneStop → ID: 864fd272dca1

Sr Business Intelligence Engineer III, SCOT - Long Term Planning and Forecasting

Amazon · Bellevue, WA

Senior

2026-05-28

WA 2026-05-28

Requirements

5+ years of SQL experience
5+ years of processing large, multi-dimensional datasets from multiple sources experience
5+ years of developing automated reporting experience
5+ years of performing statistical analysis experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership

Responsibilities

Design, develop, and maintain scalable analytical solutions, dashboards, and data pipelines using Amazon QuickSight, SQL, and AWS services to track forecast performance across Topline, Inventory, and Capacity planning - ensuring solutions are extensible, well-architected, and easy for others to maintain
Partner with scientists, engineers, product managers, and cross-functional stakeholders to gather requirements, prioritize initiatives, and deliver data solutions that drive to root cause
Build and optimize data models, ETL processes, and automated reporting mechanisms that enable data-driven decision making across the organization
Identify and implement opportunities to integrate generative AI into analytical tools and processes, accelerating insight generation and automating reporting workflows
Conduct deep-dive analyses to identify trends, patterns, and opportunities for improvement, leading the analytics strategy for complex and ambiguous business questions independently
Identify and mitigate data quality issues, dependencies, and bottlenecks; escalate and drive resolution as needed
Take the lead on large projects from start to finish - developing project plans, tracking milestones, and communicating findings effectively to management audiences
Influence the team's analytics strategy and drive best practices in data modeling, metric definitions, and code quality - continuously improving processes and tools
Mentor and develop other team members; participate in hiring and technical assessments
LTPF BI Engineers focus on how our customers use our forecasts and plans, and ensuring it's as easy as possible to access and understand them. We serve on the front lines of forecast and plan validation as a proxy for our customers, making sure changes across Topline, Inventory, and Capacity are well understood and clearly communicated. We develop reports and data access points that answer key questions about forecast performance, inventory positioning, and capacity planning - and work with science and engineering teams to resolve forecast and planning questions.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

View full posting on CareerOneStop → ID: f4504fc8ef0a

Agentic Business Intelligence Manager

DAT Solutions, LLC · Seattle, WA

Manager

2026-05-28

WA 2026-05-28

Responsibilities

Develop and operate agentic solutions to traditional business intelligence responsibilities:
*KPI development & ownership: Develop and own the key performance indicators that leadership uses to measure business health, ensuring metrics stay aligned with evolving strategic priorities.
*Strategic & ad-hoc analysis: Partner with stakeholders across Operations, Finance, Product, and Marketing to scope analytical questions, deliver deep-dive insights, and translate findings into clear recommendations that drive business decisions.
*BI development & reporting: Build and maintain dashboards, reports, and data models that make key business metrics accessible, accurate, and trustworthy across the organization.
*Agent design & deployment: Design, prototype, and deploy AI agents that augment BI workflows, including agents that monitor metrics for anomalies, generate narrative summaries, answer ad-hoc data questions, and automate routine reporting cycles.
*Performance monitoring & iteration: Track how deployed agents and dashboards perform in the wild, gather feedback from end users, and continuously refine outputs to improve accuracy, usefulness, and adoption over time.
*Automation opportunity identification: Spot repetitive analytical tasks across the organization and evaluate which are best suited for agentic automation versus traditional BI tooling, balancing impact, complexity, and risk.
*Data quality & integrity: Partner with Data Engineering to validate source data, surface inconsistencies, and ensure that both human-facing analyses and agent outputs are built on a trustworthy foundation.

View full posting on CareerOneStop → ID: 2d57cc05d5ed

Data Analyst

DISYS, LLC · Redmond, WA

Mid-level Bachelor's

2026-05-28

WA 2026-05-28

Requirements

US Citizen or GC Holder only - no c2c, W2 required by client
*Job Description for Data Analyst - PLM ProjectGENERAL SUMMARY Under the specific direction of a senior analyst, supervisor or manager; you will collect, process, map, and analyze data to support the loading of accurate data for Product Lifecycle Management (PLM) system implementation. You will work closely with cross-functional teams to determine how data will be transformed from the current PLM system to the new PLM system and verify and validate the data loads for accuracy to ensure a successful implementation of the PLM. In this role you will be involved with data clean-up in the PLM of data objects and the correction and maintenance of attributes and other information; you will partner with business users to implement data updates in accordance with existing business processes where applicable. You will review systems requirements and business processes, codes, tests, debugs and implement software solutions for the PLM system. You will be expected to operate in an individual contributor role that requires the use of judgment in applying expertise and is expected to work independently with minimal supervision. PRIMARY RESPONSIBILITIES
* Support the Project Lead/Work Stream Lead for Bills of Material, Parts and associated documentation
* Collaborate with stakeholders to understand data needs and business objectives
* Complete validation and verification of data for multiple loads of data into the PLM tool.
* Support and complete data clean-up by submitting requirements and collaborating with IT for PLM and ERP data clean-up and maintenance following the IT process for mass updates of data.
* Develop reports, dashboards, and data visualizations using tools such as Power BI, Tableau, or Excel
* Analyze data to identify trends, patterns, and insights
* Translate complex data findings into clear, actionable insights
* Analyze, define, and develop documentation control methodologies to support the PLM tool
* Ensure data accuracy, integrity, and consistency across systems
* Automate data processes and improve reporting efficiency where possible
* Pull data and analyze and make informed decisions and think critically
* Perform other related duties as assigned
* Bachelor's Degree is required

Preferred

Bachelor's degree in data Analytics, Statistics, Mathematics, Computer Science, or a related field
Proven experience as a Data Analyst or in a similar role
1-3 years of related experience in a business environment
Experience implementing and configuring PLM systems
Intermediate to advanced knowledge of Microsoft Office applications (Excel, Outlook, Word, PowerPoint)
Professional presentation and strong interpersonal communications skills
Strong proficiency in data analysis tools (e.g., Excel, SQL)
Ability to interpret complex data and communicate insights clearly
Experience working in PLM or other collaborative environments
Proficient task management including prioritization skills
Self-motivated, organized, efficient and process oriented
Strong work ethic and Team playe
Tactful, exercises independent judgment and discretion
Works well under pressure in a dynamic environment
Must show strong judgment and time management skills
Ability to independently write, review, and implement work instruction content in s

Responsibilities

On site in Redmond WA

View full posting on CareerOneStop → ID: d2342080372c

Data Analyst Intern

Ericsson Inc · Bellevue, WA

Intern Master's

2026-05-28

WA 2026-05-28

Grow with us Data Analyst Intern Location: Bellevue, WA Duration: 12 weeks Start Date: May 26, 2026 Upload an unofficial copy of your transcript Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's

View full posting on CareerOneStop → ID: e89777bbc9b7

Business Intelligence Report Developer

Humana · Olympia, WA

Mid-level Master's

2026-05-27

WA 2026-05-27

Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro

View full posting on CareerOneStop → ID: f28e3deee4aa

Business Intelligence Report Developer

Humana · Boise, ID

Mid-level Master's

2026-05-27

ID 2026-05-27

Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro

View full posting on CareerOneStop → ID: f463066e6700

Data Analyst-Technical-Consultant

Intermountain Health · Boise, ID

Mid-level Bachelor's

2026-05-27

ID 2026-05-27

Requirements

SQL & database design
Data visualization tools
Office applications proficiency
Communication skills
Health care data expertise
Lifelong learne
Individual & team success
Mastery of advanced SQL techniques and database optimization strategies.
Proficiency in advanced data visualization techniques using tools like Tableau and Power BI.
Advanced proficiency in office applications, including creating templates and macros.
Excellent verbal, written, and interpersonal communication skills, with experience presenting to senior leadership.
Extensive knowledge of healthcare data analytics and industry trends.
Proven experience leading cross-functional teams and driving collaborative projects.
Demonstrated ability to stay updated on industry trends and advancements.
Proven experience in providing mentorship and guidance to junior analysts.
Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data analytic projects to ensure alignment with business goals and efficient execution.
Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.

Preferred

Bachelor's degree in analytics related fields such as statistics, mathematics, information systems, computer science, finance, business management, or economics with six years of relevant work experience in a role performing data analysis.
Bachelor's degree in another area of study with eight years of relevant work experience in a role performing data analysis.
Experience without a related degree will be considered if skill set and experience are robust

Responsibilities

This role involves leading the development and deployment of data analytics at Intermountain Health. As a Data Analyst-Technical-Consultant, you will spearhead strategic initiatives, clinical standards, and operational goals through data insights. Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with business and clinical leaders across Intermountain Health. The team ensures data applications are maintained, monitored, promoted, and used effectively.
Provides expert support for management level leadership in a business or clinical area.
Develops a comprehensive understanding of customer data and business/clinical operations they support.
Fulfills high-level customer requests through data exploration, report development, and visual storytelling.
Independently provides project updates and communicates analytic findings to their customers.
Leads and mentors others in analytic work demonstrations and hands-on training for customers to promote understanding and independent consumption of analytic work.
Continuously enhances their technical skillset through individual learning and participation in Intermountain analytic community educational offerings, guided by their leader.
Stay updated on industry trends and advancements
Provide mentorship and guidance to junior analysts

View full posting on CareerOneStop → ID: f5e5799a5adf

Business Intelligence Report Developer

Humana · Salem, OR

Mid-level Master's

2026-05-27

OR 2026-05-27

Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro

View full posting on CareerOneStop → ID: c138cd0b4db2

Data Analyst-Technical-Consultant

Intermountain Health · Salem, OR

Mid-level Bachelor's

2026-05-27

OR 2026-05-27

Requirements

SQL & database design
Data visualization tools
Office applications proficiency
Communication skills
Health care data expertise
Lifelong learne
Individual & team success
Mastery of advanced SQL techniques and database optimization strategies.
Proficiency in advanced data visualization techniques using tools like Tableau and Power BI.
Advanced proficiency in office applications, including creating templates and macros.
Excellent verbal, written, and interpersonal communication skills, with experience presenting to senior leadership.
Extensive knowledge of healthcare data analytics and industry trends.
Proven experience leading cross-functional teams and driving collaborative projects.
Demonstrated ability to stay updated on industry trends and advancements.
Proven experience in providing mentorship and guidance to junior analysts.
Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data analytic projects to ensure alignment with business goals and efficient execution.
Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.

Preferred

Bachelor's degree in analytics related fields such as statistics, mathematics, information systems, computer science, finance, business management, or economics with six years of relevant work experience in a role performing data analysis.
Bachelor's degree in another area of study with eight years of relevant work experience in a role performing data analysis.
Experience without a related degree will be considered if skill set and experience are robust

Responsibilities

This role involves leading the development and deployment of data analytics at Intermountain Health. As a Data Analyst-Technical-Consultant, you will spearhead strategic initiatives, clinical standards, and operational goals through data insights. Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with business and clinical leaders across Intermountain Health. The team ensures data applications are maintained, monitored, promoted, and used effectively.
Provides expert support for management level leadership in a business or clinical area.
Develops a comprehensive understanding of customer data and business/clinical operations they support.
Fulfills high-level customer requests through data exploration, report development, and visual storytelling.
Independently provides project updates and communicates analytic findings to their customers.
Leads and mentors others in analytic work demonstrations and hands-on training for customers to promote understanding and independent consumption of analytic work.
Continuously enhances their technical skillset through individual learning and participation in Intermountain analytic community educational offerings, guided by their leader.
Stay updated on industry trends and advancements
Provide mentorship and guidance to junior analysts

View full posting on CareerOneStop → ID: 544403506947

Business Intelligence Report Developer

Humana · Helena, MT

Mid-level Master's

2026-05-27

MT 2026-05-27

Become a part of our caring community The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office pro

View full posting on CareerOneStop → ID: 11b7695a7d08

Data Analyst-Technical-Consultant

Intermountain Health · Helena, MT

Mid-level Bachelor's

2026-05-27

MT 2026-05-27

Requirements

SQL & database design
Data visualization tools
Office applications proficiency
Communication skills
Health care data expertise
Lifelong learne
Individual & team success
Mastery of advanced SQL techniques and database optimization strategies.
Proficiency in advanced data visualization techniques using tools like Tableau and Power BI.
Advanced proficiency in office applications, including creating templates and macros.
Excellent verbal, written, and interpersonal communication skills, with experience presenting to senior leadership.
Extensive knowledge of healthcare data analytics and industry trends.
Proven experience leading cross-functional teams and driving collaborative projects.
Demonstrated ability to stay updated on industry trends and advancements.
Proven experience in providing mentorship and guidance to junior analysts.
Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data analytic projects to ensure alignment with business goals and efficient execution.
Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.

Preferred

Bachelor's degree in analytics related fields such as statistics, mathematics, information systems, computer science, finance, business management, or economics with six years of relevant work experience in a role performing data analysis.
Bachelor's degree in another area of study with eight years of relevant work experience in a role performing data analysis.
Experience without a related degree will be considered if skill set and experience are robust

Responsibilities

This role involves leading the development and deployment of data analytics at Intermountain Health. As a Data Analyst-Technical-Consultant, you will spearhead strategic initiatives, clinical standards, and operational goals through data insights. Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with business and clinical leaders across Intermountain Health. The team ensures data applications are maintained, monitored, promoted, and used effectively.
Provides expert support for management level leadership in a business or clinical area.
Develops a comprehensive understanding of customer data and business/clinical operations they support.
Fulfills high-level customer requests through data exploration, report development, and visual storytelling.
Independently provides project updates and communicates analytic findings to their customers.
Leads and mentors others in analytic work demonstrations and hands-on training for customers to promote understanding and independent consumption of analytic work.
Continuously enhances their technical skillset through individual learning and participation in Intermountain analytic community educational offerings, guided by their leader.
Stay updated on industry trends and advancements
Provide mentorship and guidance to junior analysts

View full posting on CareerOneStop → ID: e60e5473fb9f

Sales Data Analyst

Advantage Technical Services, Inc · Bellevue, WA

Mid-level Bachelor's

2026-05-26

WA 2026-05-26

Requirements

Bachelor's degree in a business-related field (general business, marketing, economics) or relevant experience
Minimum 4-7 years relevant experience
Experience preferred in the telecommunications and/or wireless industry
Strong analytical skills and financial acumen
Ability to gather all forms of data, use various tools of evaluation, and prepare analysis and recommendations for Senior Leadership within the company and the custome
Demonstrated ability to work cross-functionally and interact at all levels within the organization
*Necessary Skills & Attributes:
Strong analytical and data management skills.
Detail-oriented, with the ability to multi-task in a fast-paced, deadline-driven team environment.
Structured thinking - able to identify issues, form a view, and bring recommendations.
Organized and professional approach to supplier communication and relationship management.
The ability to develop and maintain excellent working relationships with all appropriate levels within and outside the company.
Ability to work independently with minimal oversight while exercising excellent judgement and deliver to deadlines independently.

Responsibilities

Category Analysis & Reporting: Maintain, publish, and deliver regular performance reports covering sales, margin, market share, andsupply. Track activities, trends, forecasts, andperformance.
Portfolio Management Support: Assist with ongoing portfolio, assortment, and distribution analysis and decisions, including ranging/distribution reviews and new product introductions.
Go-To-Market Support: Support in GTM activities of new product launches including supporting creation of sell-in material, tracking performance, managing readiness, providing input to inform GTM strategy and activities.
Cross-Functional / Internal Liaison: Act as a day-to-day point of contact for internal cross-functional teams (commercial, marketing, SCM, finance, product) for assigned categories; support preparing meeting materials and maintaining/documenting category plans.
Sell-out and Supply Chain Support: Support Collaborative Planning, Forecasting, and Replenishment (CPFR) supply chain process by participating in customer calls and partnering with internal teams to drive optimal inventory in respective channels
Quarterly Planning Support: Contribute to quarterly planning, execution tracking, and post-program evaluation across assigned categories.
Market Intelligence: Provide competitors and market trend summaries to inform category strategy.
Performance Metrics: Monitor key performance indicators (weekly, monthly, quarterly) and flag exception cases for early warning to the team to proactively drive corrective actions and improvements.
Respond to ad-hoc reporting requests from internal and external customers in a time-sensitive manner.

View full posting on CareerOneStop → ID: 7842479f8f13

Sr Data Analyst

DLA Piper LLP (US) · Seattle, WA

Senior

2026-05-26

WA 2026-05-26

Responsibilities

Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact analytics, forecasting, reporting and insight-driven solutions.
Collaborate with FP&A Revenue & Strategic Finance to identify practice group challenges and prioritize analysis and solutions.
Implement best practices and innovative solutions to enhance data integrity and data reporting accuracy, leveraging AI tools to enable data validation of financial reportin

View full posting on CareerOneStop → ID: 34c698aab671

Business Intelligence Engineer , Amazon Customer Service

Amazon · Seattle, WA

Mid-level

2026-05-25

WA 2026-05-25

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience in the data/BI space

Responsibilities

Design, build, and maintain scalable data pipelines and ETL processes that integrate data across multiple customer journey touchpoints - including delivery, returns, refunds, and pre-order systems
Develop and operationalize standardized KPIs (e.g., Perfect Delivery Rate, Click-to-Deliver, Promotional Error Rate) across customer journeys, ensuring consistent measurement and trusted reporting for business reviews
Build and enhance executive dashboards (Page 0, xBR) and self-service analytical tools that provide real-time visibility into customer experience metrics for leadership and journey pod teams
Contribute to AI and LLM-powered analytics solutions, including automated insight generation and natural language interfaces for data exploration
Partner with product managers, data engineers, and scientists across five CXI pillars to translate business questions into analytical frameworks and deliver actionable insights
Support experimentation measurement by contributing to standardized Weblab impact frameworks, including instrumentation, statistical analysis, and reporting
Participate in building and extending the central data model - consolidating disparate data sources into a unified, governed layer that eliminates redundancy and ensures data integrity
As a Business Intelligence Engineer on the CXIDA team, start your morning reviewing the health of data pipelines that power our KPI Hub, then shift focus to summarize return defect for a Business Review. After lunch, you could be prototyping an LLM-driven deep dive that helps journey teams identify root causes of contact spikes without filing manual data requests. You'll end the day collaborating with teammates for next iteration of our central data model.

View full posting on CareerOneStop → ID: b1a0415431b3

Business Intelligence Analyst

UTAH STATE UNIVERSITY · Logan, UT

Mid-level Bachelor's

2026-05-25

ID 2026-05-25

Requirements

Bachelor's degree in relevant fields such as Data Analytics, Information Systems, Statistics, Business Intelligence, or a related discipline (work equivalency accepted)
2+ years of professional experience in data analysis, business intelligence, or a related role.
Demonstrated proficiency in modern analytics platforms (e.g., Power BI, Tableau, or similar).
Strong SQL skills and experience querying structured data from relational databases.
Ability to communicate technical concepts to non-technical audiences.
Experience working with large, complex datasets in a structured analytics environment.
Familiarity with data governance principles, especially around metadata, data quality, and access controls.

Preferred

Experience in higher education or public sector analytics.
Familiarity with Snowflake, DBT, or similar cloud-based data platforms.
Understanding of role-, attribute-, and purpose-based access models.
Familiarity with higher education data and reporting... For full info follow application link.

Responsibilities

80% of the time
Design, build, and maintain interactive dashboards and reports using tools such as Power BI, Tableau, or similar platforms.
Support institutional ad-hoc and recurring internal reporting requests, partnering with other analysts on the team to ensure consistency and quality.
Translate complex data sets into clear, actionable insights for stakeholders across academic and administrative units.
Meet with stakeholders to determine business intelligence data needs.
Document analytical processes, data sources, and report logic to ensure transparency and reproducibility.
20% of the time
Collaborate with data engineers to ensure access to structured, modeled, and high-quality data.
Contribute to metadata enrichment by providing descriptive and operational context for published reports.

View full posting on CareerOneStop → ID: 4266016f7128

Senior/Lead Data Analyst - CX Strategy & Insights

Eliassen Group · Olympia, WA

Senior Bachelor's

2026-05-23

WA 2026-05-23

Requirements

4 to 7+ years in CX analytics, product analytics, or journey analytics.
Hands-on experience with Qualtrics or similar CX platforms, including transactional surveys, digital intercepts, and session replay or behavioral tracking.
Experience with NPS, CSAT, and Voice of Customer data.
Experience with contact center data including call drivers, repeat contact, and AHT.
Experience with digital funnel and journey analytics.
Proven ability to connect CX signals to operational and business outcomes.
Demonstrated capability to independently structure work, build analytical outputs, and drive execution from insight to action.
Strong cross-functional collaboration skills across Product, Technology, and Operations.
High ownership, execution rigor, and speed in ambiguous environments.

Education

Bachelor's degree required. Analytics, data, or technical background preferred.
*_Recruitment Transparency Notice_
*_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._

Responsibilities

Own end-to-end journey analytics and CX measurement across priority member and client journeys such as Account Access, Claims, Client, and Card.
Connect digital behavior, contact drivers, and experience metrics to business and operational outcomes.
Design and deploy transactional surveys in Qualtrics or similar platforms aligned to journey steps.
Implement digital intercepts across key touchpoints and instrument session replay tagging to capture behavioral signals.
Maintain complete listening coverage across journeys, document instrumentation, identify gaps, and drive closure of gaps.
Analyze Voice of Customer, digital, and contact center data to identify root causes of friction, repeat contact, and poor experience outcomes.
Translate insights into clear actions with defined owners and measurable outcomes, and ensure execution.
Deliver weekly CX reporting with metric trends, variance explanations, root cause insights, actions in progress, and expected impact.
Own structured work tracking with actions, owners, priorities, outcomes, and regular progress updates.
Develop CX insight outputs such as newsletters and deep dives that articulate wins, issues, customer pain signals, root causes, and actions.
Partner with Product, Operations, Technology, and CX teams to validate insights, remove blockers, and ensure follow-through.
Operate independently, structure ambiguous problems, and drive execution without constant direction.

View full posting on CareerOneStop → ID: a7f8fa166c56

Data Analyst -Project Delivery Senior Analyst - AI & Engineering

Deloitte · Boise, ID

Senior Bachelor's

2026-05-23

ID 2026-05-23

Requirements

4+ Years Experience in Analytics + data skills: strong analytical thinking; ability to frame ambiguous questions; SQL proficiency for querying/validating datasets; strong Excel
4+ Years Experience with BI tooling: hands-on Tableau and/or Power BI (building or enhancing reports/dashboards); understanding of metrics/KPI definitions and dashboard usability
4+ Years Experience in Structured Storytelling abilities in PPT
4+ Years Experience Familiarity with Snowflake
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Limited immigration sponsorship may be available
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Familiarity with modern data platforms/warehouses (e.g., Snowflake)
Stakeholder management: crisp communication, expectation-setting, and ability to handle high-volume ad-hoc requests with clear prioritization and turnaround commitments.
Analytical/ Decision Making Responsibilities
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Can operate independently or with minimum supervision
Excellent Written and Communication Skills
Ability to deliver technical demonstrations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $69,000 to $127,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Responsibilities

Partner with product owners and business stakeholders to intake, clarify, and document analytics needs (problem statements, scope, assumptions, success metrics/KPIs).
Translate needs into Agile/SAFe-ready work: epics/features/user stories, acceptance criteria, and sprint-ready backlog items; support sprint planning/reviews/retros and cross-team coordination.
Provide ad-hoc analysis and "quick-turn" reporting (directional insights, quick views) and, where appropriate, build lightweight dashboards in Tableau/Power BI; collaborate with BI/reporting developers to industrialize high-usage reporting.
Support recurring analyses/reports (monthly/biweekly/weekly as applicable): define requirements, validate outputs with stakeholders, and maintain runbooks.
Coordinate/support UAT and release/change activities (dependency tracking, risk/issue management, stakeholder comms) aligned to our client's standards and governance processes.
Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

View full posting on CareerOneStop → ID: fa9e6ac324e6

Senior/Lead Data Analyst - CX Strategy & Insights

Eliassen Group · Boise, ID

Senior Bachelor's

2026-05-23

ID 2026-05-23

Requirements

4 to 7+ years in CX analytics, product analytics, or journey analytics.
Hands-on experience with Qualtrics or similar CX platforms, including transactional surveys, digital intercepts, and session replay or behavioral tracking.
Experience with NPS, CSAT, and Voice of Customer data.
Experience with contact center data including call drivers, repeat contact, and AHT.
Experience with digital funnel and journey analytics.
Proven ability to connect CX signals to operational and business outcomes.
Demonstrated capability to independently structure work, build analytical outputs, and drive execution from insight to action.
Strong cross-functional collaboration skills across Product, Technology, and Operations.
High ownership, execution rigor, and speed in ambiguous environments.

Education

Bachelor's degree required. Analytics, data, or technical background preferred.
*_Recruitment Transparency Notice_
*_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._

Responsibilities

Own end-to-end journey analytics and CX measurement across priority member and client journeys such as Account Access, Claims, Client, and Card.
Connect digital behavior, contact drivers, and experience metrics to business and operational outcomes.
Design and deploy transactional surveys in Qualtrics or similar platforms aligned to journey steps.
Implement digital intercepts across key touchpoints and instrument session replay tagging to capture behavioral signals.
Maintain complete listening coverage across journeys, document instrumentation, identify gaps, and drive closure of gaps.
Analyze Voice of Customer, digital, and contact center data to identify root causes of friction, repeat contact, and poor experience outcomes.
Translate insights into clear actions with defined owners and measurable outcomes, and ensure execution.
Deliver weekly CX reporting with metric trends, variance explanations, root cause insights, actions in progress, and expected impact.
Own structured work tracking with actions, owners, priorities, outcomes, and regular progress updates.
Develop CX insight outputs such as newsletters and deep dives that articulate wins, issues, customer pain signals, root causes, and actions.
Partner with Product, Operations, Technology, and CX teams to validate insights, remove blockers, and ensure follow-through.
Operate independently, structure ambiguous problems, and drive execution without constant direction.

View full posting on CareerOneStop → ID: 36ee6a0864e6

Senior/Lead Data Analyst - CX Strategy & Insights

Eliassen Group · Helena, MT

Senior Bachelor's

2026-05-23

MT 2026-05-23

Requirements

4 to 7+ years in CX analytics, product analytics, or journey analytics.
Hands-on experience with Qualtrics or similar CX platforms, including transactional surveys, digital intercepts, and session replay or behavioral tracking.
Experience with NPS, CSAT, and Voice of Customer data.
Experience with contact center data including call drivers, repeat contact, and AHT.
Experience with digital funnel and journey analytics.
Proven ability to connect CX signals to operational and business outcomes.
Demonstrated capability to independently structure work, build analytical outputs, and drive execution from insight to action.
Strong cross-functional collaboration skills across Product, Technology, and Operations.
High ownership, execution rigor, and speed in ambiguous environments.

Education

Bachelor's degree required. Analytics, data, or technical background preferred.
*_Recruitment Transparency Notice_
*_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._

Responsibilities

Own end-to-end journey analytics and CX measurement across priority member and client journeys such as Account Access, Claims, Client, and Card.
Connect digital behavior, contact drivers, and experience metrics to business and operational outcomes.
Design and deploy transactional surveys in Qualtrics or similar platforms aligned to journey steps.
Implement digital intercepts across key touchpoints and instrument session replay tagging to capture behavioral signals.
Maintain complete listening coverage across journeys, document instrumentation, identify gaps, and drive closure of gaps.
Analyze Voice of Customer, digital, and contact center data to identify root causes of friction, repeat contact, and poor experience outcomes.
Translate insights into clear actions with defined owners and measurable outcomes, and ensure execution.
Deliver weekly CX reporting with metric trends, variance explanations, root cause insights, actions in progress, and expected impact.
Own structured work tracking with actions, owners, priorities, outcomes, and regular progress updates.
Develop CX insight outputs such as newsletters and deep dives that articulate wins, issues, customer pain signals, root causes, and actions.
Partner with Product, Operations, Technology, and CX teams to validate insights, remove blockers, and ensure follow-through.
Operate independently, structure ambiguous problems, and drive execution without constant direction.

View full posting on CareerOneStop → ID: eebfcaa89715

Senior/Lead Data Analyst - CX Strategy & Insights

Eliassen Group · Salem, OR

Senior Bachelor's

2026-05-23

OR 2026-05-23

Requirements

4 to 7+ years in CX analytics, product analytics, or journey analytics.
Hands-on experience with Qualtrics or similar CX platforms, including transactional surveys, digital intercepts, and session replay or behavioral tracking.
Experience with NPS, CSAT, and Voice of Customer data.
Experience with contact center data including call drivers, repeat contact, and AHT.
Experience with digital funnel and journey analytics.
Proven ability to connect CX signals to operational and business outcomes.
Demonstrated capability to independently structure work, build analytical outputs, and drive execution from insight to action.
Strong cross-functional collaboration skills across Product, Technology, and Operations.
High ownership, execution rigor, and speed in ambiguous environments.

Education

Bachelor's degree required. Analytics, data, or technical background preferred.
*_Recruitment Transparency Notice_
*_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._

Responsibilities

Own end-to-end journey analytics and CX measurement across priority member and client journeys such as Account Access, Claims, Client, and Card.
Connect digital behavior, contact drivers, and experience metrics to business and operational outcomes.
Design and deploy transactional surveys in Qualtrics or similar platforms aligned to journey steps.
Implement digital intercepts across key touchpoints and instrument session replay tagging to capture behavioral signals.
Maintain complete listening coverage across journeys, document instrumentation, identify gaps, and drive closure of gaps.
Analyze Voice of Customer, digital, and contact center data to identify root causes of friction, repeat contact, and poor experience outcomes.
Translate insights into clear actions with defined owners and measurable outcomes, and ensure execution.
Deliver weekly CX reporting with metric trends, variance explanations, root cause insights, actions in progress, and expected impact.
Own structured work tracking with actions, owners, priorities, outcomes, and regular progress updates.
Develop CX insight outputs such as newsletters and deep dives that articulate wins, issues, customer pain signals, root causes, and actions.
Partner with Product, Operations, Technology, and CX teams to validate insights, remove blockers, and ensure follow-through.
Operate independently, structure ambiguous problems, and drive execution without constant direction.

View full posting on CareerOneStop → ID: 6fc1df6f07b9

Senior People Analytics Data Analyst

Blue Origin LLC · Seattle, WA

Senior Bachelor's

2026-05-23

WA 2026-05-23

Requirements

Bachelor's degree in Data Science, Computer Science, Business Analytics, or a related field or equivalent in years of exp.
8+ years of experience in business intelligence, data analytics, or related domains.
Expertise in SQL and data visualization tools (e.g., Tableau, PowerBI).
Strong critical thinking and problem-solving skills, with the ability to provide impactful solutions.
Excellent attention to detail, ensuring recommendations are accurate and actionable.
Strong communication skills for effective interaction with both technical and non-technical stakeholders.
A mindset of ownership and curiosity, with the drive to understand data within its broader business context.

Preferred

Solid experience in HR analytics, with a deep understanding of its impact on talent management and policy decisions.
Proficiency in data analysis tools and programming languages (e.g., Python, R, Etc).
Experience with enterprise systems such as Workday and Cornerstone.
Familiarity with big data platforms and cloud technologies.

Responsibilities

Analyze HR data to deeply understand processes, trends, and opportunities, ensuring findings are actionable and aligned with organizational goals.
Design and implement advanced data visualizations and dashboards using tools like Tableau or PowerBI to drive strategic decision-making.
Collaborate with HR and business teams to identify to develop metrics that promote excellence and optimize workflows.
Perform detailed data analysis and validation to ensure accuracy and reliability of insights provided to stakeholders.
Proactively address challenges, offering innovative, data-driven solutions that enhance HR processes and outcomes.
Communicate complex data insights clearly and effectively, ensuring all stakeholders understand implications and actions.
Develop and maintain data documentation, run books, and data dictionaries in collaboration with HR data governance.
Stay informed of industry trends and best practices in people analytics and apply them to enhance our workforce strategies.

View full posting on CareerOneStop → ID: 7c4304f066aa

Business Intelligence Analyst

Renaissance · Seattle, WA

Mid-level Bachelor's

2026-05-22

WA 2026-05-22

Requirements

For this role, you should have:
0-2 years of experience in data analytics, BI, or a related field (including internships, academic projects, or bootcamps)
Bachelor's degree in a relevant field (or equivalent practical experience)
*Additional Information
All your information will be kept confidential according to EEO guidelines.
*Salary Range: $70,000-$80,000 This range is based on national market data and may vary by experience and location.

Preferred

Exposure to data modeling concepts (experience with dbt is a plus)
Experience with Snowflake or similar cloud data warehouses
Exposure to Python or interest in using AI-assisted tools to improve workflows (preferred, not required)
Familiarity with the U.S. education system or edtech space

Responsibilities

We are seeking an entry-level Business Intelligence Analyst to join our BI team, with a focus on analytics engineering, AI enablement and reporting. This role centers on building and maintaining data models and dashboards that power insights across the organization.
You'll partner with stakeholders across teams to translate data into scalable data models and clear, actionable reporting. This is a strong fit for someone early in their career with a drive to develop both technical and business-facing analytics skills, with meaningful ownership from the start.
*In this role, you will be responsible for:
Support analytics requests across multiple business areas (e.g., Product, Sales, Customer Success)
Exploring datasets to identify trends, anomalies, and opportunities - not just fulfill defined reporting requests
Contributing to and learning from the Business Intelligence team's analytics development ecosystem
Building and maintaining data models and dashboards to support business decision-making
*In Business Intelligence, we are looking for candidates with:
Foundational experience with SQL and data analysis
Familiarity with data visualization tools (Power BI preferred, but not required)
Curiosity about data and a desire to understand the "why" behind trends and patterns
Ability to explore datasets and draw basic insights, with guidance as needed
Strong attention to detail and commitment to data quality
Comfort working with some ambiguity and asking questions to clarify business needs
Ability to communicate clearly with both technical and non-technical stakeholders
Ability to present data and insights in a clear and structured way (written or visual)

View full posting on CareerOneStop → ID: 8823f732d838

Business Intelligence Engineer, Prime Video Partner Experience & Supply Chain

Amazon · Seattle, WA

Mid-level Bachelor's

2026-05-22

WA 2026-05-22

Requirements

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Proven ability to determine when and how to integrate GenAI tools, evaluate and refine GenAI outputs, and apply responsible AI practices to augment productivity and quality

Responsibilities

Join Prime Video's Partner Experience & Supply Chain team as a Business Intelligence Engineer and become the data expert who transforms how we work with our content partners and optimize our supply chain.
You'll be the go-to person for turning complex supply chain data into clear insights that drive real decisions. Working alongside product managers, engineers, and operations teams, you'll build the analytics tools and dashboards that help everyone understand what's working, what's not, and where we should focus next.
The Problems You'll Solve
Our supply chain generates massive amounts of data, but data alone doesn't drive change - insights do. You'll tackle questions like: Where are the bottlenecks slowing down content delivery? Which partner workflows need improvement? How can we predict and prevent supply chain issues before they impact customers?
You'll create the visibility tools that turn these questions into actionable answers, helping teams spot trends early and make confident, data-backed decisions.
What Makes This Role Different
You won't just be running reports - you'll be a strategic partner shaping how Prime Video manages relationships with content partners and optimizes the entire supply chain. Your work will directly influence how quickly and efficiently we bring content to millions of viewers worldwide.
You'll have the autonomy to identify opportunities, propose solutions, and build the tools that matter most. If you love diving deep into data, translating complexity into clarity, and seeing your insights drive tangible improvements, this role offers that impact.
Analyze data to identify and execute on business opportunities
Understand data resources and select appropriate sources for each analysis
Build fast prototypes using Amazon AI tools (Kiro, Claude CLI, QuickSuite) and translate them into production-grade data products
Evaluate requirements and select optimal tools, balancing speed, efficiency, and scalability
Build data pipelines and dashboards from multi-dimensional datasets to report product metrics and KPIs
Present insights and recommendations to stakeholders verbally and in writing

View full posting on CareerOneStop → ID: 84b1c9aed60a

Senior Business Intelligence Engineer, Devices Demand Science Optimization

Amazon · Seattle, WA

Senior

2026-05-22

WA 2026-05-22

Requirements

10+ years of professional or military experience
7+ years of SQL, ETL or Oracle experience
7+ years of processing large, multi-dimensional datasets from multiple sources experience
5+ years of developing automated reporting experience
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with data visualization using Tableau, Quicksight, or similar tools
Knowledge of data warehousing and data modeling
Experience working directly with business stakeholders to translate between data and business needs

Preferred

Experience managing, analyzing and communicating results to senior leadership
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Responsibilities

Design, build, and maintain scalable core data tables and pipelines that serve as the single source of truth for Devices sales, inventory, pricing and demand planning metrics.
Automate reporting workflows and data processes to reduce manual effort and improve speed, accuracy, and reliability of insights delivered to stakeholders.
Build and enhance QuickSuite dashboards that provide self service analytics for product line leaders, finance, and supply chain teams.
Develop contextual data layers that connect disparate data sources into unified, business ready datasets, enabling deeper analysis and cross functional visibility.
Build and integrate AI powered features into BI solutions, including intelligent agents, automated callouts, and generative AI driven summaries that surface key insights proactively.
Implement data governance frameworks and quality control mechanisms, including automated validation, monitoring, and alerting to ensure data accuracy and reliability across all assets.
Design and manage pipeline orchestration to coordinate data ingestion, transformation, and delivery across multiple systems and schedules.
Partner with stakeholders across demand planning, forecasting, and inventory teams to translate business requirements into well scoped, long term, AI-driven data solutions.

View full posting on CareerOneStop → ID: e4aa84986d3b

Business Intelligence Analyst

Renaissance · Portland, OR

Mid-level Bachelor's

2026-05-22

WA 2026-05-22

Requirements

For this role, you should have:
0-2 years of experience in data analytics, BI, or a related field (including internships, academic projects, or bootcamps)
Bachelor's degree in a relevant field (or equivalent practical experience)
*Additional Information
All your information will be kept confidential according to EEO guidelines.
*Salary Range: $70,000-$80,000 This range is based on national market data and may vary by experience and location.

Preferred

Exposure to data modeling concepts (experience with dbt is a plus)
Experience with Snowflake or similar cloud data warehouses
Exposure to Python or interest in using AI-assisted tools to improve workflows (preferred, not required)
Familiarity with the U.S. education system or edtech space

Responsibilities

We are seeking an entry-level Business Intelligence Analyst to join our BI team, with a focus on analytics engineering, AI enablement and reporting. This role centers on building and maintaining data models and dashboards that power insights across the organization.
You'll partner with stakeholders across teams to translate data into scalable data models and clear, actionable reporting. This is a strong fit for someone early in their career with a drive to develop both technical and business-facing analytics skills, with meaningful ownership from the start.
*In this role, you will be responsible for:
Support analytics requests across multiple business areas (e.g., Product, Sales, Customer Success)
Exploring datasets to identify trends, anomalies, and opportunities - not just fulfill defined reporting requests
Contributing to and learning from the Business Intelligence team's analytics development ecosystem
Building and maintaining data models and dashboards to support business decision-making
*In Business Intelligence, we are looking for candidates with:
Foundational experience with SQL and data analysis
Familiarity with data visualization tools (Power BI preferred, but not required)
Curiosity about data and a desire to understand the "why" behind trends and patterns
Ability to explore datasets and draw basic insights, with guidance as needed
Strong attention to detail and commitment to data quality
Comfort working with some ambiguity and asking questions to clarify business needs
Ability to communicate clearly with both technical and non-technical stakeholders
Ability to present data and insights in a clear and structured way (written or visual)

View full posting on CareerOneStop → ID: f2775ad03101

Business Intelligence Analyst

Renaissance · Boise, ID

Mid-level Bachelor's

2026-05-22

ID 2026-05-22

Requirements

For this role, you should have:
0-2 years of experience in data analytics, BI, or a related field (including internships, academic projects, or bootcamps)
Bachelor's degree in a relevant field (or equivalent practical experience)
*Additional Information
All your information will be kept confidential according to EEO guidelines.
*Salary Range: $70,000-$80,000 This range is based on national market data and may vary by experience and location.

Preferred

Exposure to data modeling concepts (experience with dbt is a plus)
Experience with Snowflake or similar cloud data warehouses
Exposure to Python or interest in using AI-assisted tools to improve workflows (preferred, not required)
Familiarity with the U.S. education system or edtech space

Responsibilities

We are seeking an entry-level Business Intelligence Analyst to join our BI team, with a focus on analytics engineering, AI enablement and reporting. This role centers on building and maintaining data models and dashboards that power insights across the organization.
You'll partner with stakeholders across teams to translate data into scalable data models and clear, actionable reporting. This is a strong fit for someone early in their career with a drive to develop both technical and business-facing analytics skills, with meaningful ownership from the start.
*In this role, you will be responsible for:
Support analytics requests across multiple business areas (e.g., Product, Sales, Customer Success)
Exploring datasets to identify trends, anomalies, and opportunities - not just fulfill defined reporting requests
Contributing to and learning from the Business Intelligence team's analytics development ecosystem
Building and maintaining data models and dashboards to support business decision-making
*In Business Intelligence, we are looking for candidates with:
Foundational experience with SQL and data analysis
Familiarity with data visualization tools (Power BI preferred, but not required)
Curiosity about data and a desire to understand the "why" behind trends and patterns
Ability to explore datasets and draw basic insights, with guidance as needed
Strong attention to detail and commitment to data quality
Comfort working with some ambiguity and asking questions to clarify business needs
Ability to communicate clearly with both technical and non-technical stakeholders
Ability to present data and insights in a clear and structured way (written or visual)

View full posting on CareerOneStop → ID: cc35a580e6ce

Data Analyst-Technical-Consultant

Intermountain Health · Boise, ID

Mid-level Bachelor's

2026-05-22

ID 2026-05-22

Requirements

SQL & database design
Data visualization tools
Office applications proficiency
Communication skills
Health care data expertise
Lifelong learne
Individual & team success
Mastery of advanced SQL techniques and database optimization strategies.
Proficiency in advanced data visualization techniques using tools like Tableau and Power BI.
Advanced proficiency in office applications, including creating templates and macros.
Excellent verbal, written, and interpersonal communication skills, with experience presenting to senior leadership.
Extensive knowledge of healthcare data analytics and industry trends.
Proven experience leading cross-functional teams and driving collaborative projects.
Demonstrated ability to stay updated on industry trends and advancements.
Proven experience in providing mentorship and guidance to junior analysts.
Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data analytic projects to ensure alignment with business goals and efficient execution.
Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.

Preferred

Bachelor's degree in analytics related fields such as statistics, mathematics, information systems, computer science, finance, business management, or economics with six years of relevant work experience in a role performing data analysis.
Bachelor's degree in another area of study with eight years of relevant work experience in a role performing data analysis.
Experience without a related degree will be considered if skill set and experience are robust

Responsibilities

This role involves leading the development and deployment of data analytics at Intermountain Health. As a Data Analyst-Technical-Consultant, you will spearhead strategic initiatives, clinical standards, and operational goals through data insights. Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with business and clinical leaders across Intermountain Health. The team ensures data applications are maintained, monitored, promoted, and used effectively.
Provides expert support for management level leadership in a business or clinical area.
Develops a comprehensive understanding of customer data and business/clinical operations they support.
Fulfills high-level customer requests through data exploration, report development, and visual storytelling.
Independently provides project updates and communicates analytic findings to their customers.
Leads and mentors others in analytic work demonstrations and hands-on training for customers to promote understanding and independent consumption of analytic work.
Continuously enhances their technical skillset through individual learning and participation in Intermountain analytic community educational offerings, guided by their leader.
Stay updated on industry trends and advancements
Provide mentorship and guidance to junior analysts

View full posting on CareerOneStop → ID: 5c260468fd12

Data Analyst-Technical-Consultant

Intermountain Health · Helena, MT

Mid-level Bachelor's

2026-05-22

MT 2026-05-22

Requirements

SQL & database design
Data visualization tools
Office applications proficiency
Communication skills
Health care data expertise
Lifelong learne
Individual & team success
Mastery of advanced SQL techniques and database optimization strategies.
Proficiency in advanced data visualization techniques using tools like Tableau and Power BI.
Advanced proficiency in office applications, including creating templates and macros.
Excellent verbal, written, and interpersonal communication skills, with experience presenting to senior leadership.
Extensive knowledge of healthcare data analytics and industry trends.
Proven experience leading cross-functional teams and driving collaborative projects.
Demonstrated ability to stay updated on industry trends and advancements.
Proven experience in providing mentorship and guidance to junior analysts.
Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data analytic projects to ensure alignment with business goals and efficient execution.
Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.

Preferred

Bachelor's degree in analytics related fields such as statistics, mathematics, information systems, computer science, finance, business management, or economics with six years of relevant work experience in a role performing data analysis.
Bachelor's degree in another area of study with eight years of relevant work experience in a role performing data analysis.
Experience without a related degree will be considered if skill set and experience are robust

Responsibilities

This role involves leading the development and deployment of data analytics at Intermountain Health. As a Data Analyst-Technical-Consultant, you will spearhead strategic initiatives, clinical standards, and operational goals through data insights. Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with business and clinical leaders across Intermountain Health. The team ensures data applications are maintained, monitored, promoted, and used effectively.
Provides expert support for management level leadership in a business or clinical area.
Develops a comprehensive understanding of customer data and business/clinical operations they support.
Fulfills high-level customer requests through data exploration, report development, and visual storytelling.
Independently provides project updates and communicates analytic findings to their customers.
Leads and mentors others in analytic work demonstrations and hands-on training for customers to promote understanding and independent consumption of analytic work.
Continuously enhances their technical skillset through individual learning and participation in Intermountain analytic community educational offerings, guided by their leader.
Stay updated on industry trends and advancements
Provide mentorship and guidance to junior analysts

View full posting on CareerOneStop → ID: f8f301b1c27a

Data Analyst-Technical-Consultant

Intermountain Health · Salem, OR

Mid-level Bachelor's

2026-05-22

OR 2026-05-22

Requirements

SQL & database design
Data visualization tools
Office applications proficiency
Communication skills
Health care data expertise
Lifelong learne
Individual & team success
Mastery of advanced SQL techniques and database optimization strategies.
Proficiency in advanced data visualization techniques using tools like Tableau and Power BI.
Advanced proficiency in office applications, including creating templates and macros.
Excellent verbal, written, and interpersonal communication skills, with experience presenting to senior leadership.
Extensive knowledge of healthcare data analytics and industry trends.
Proven experience leading cross-functional teams and driving collaborative projects.
Demonstrated ability to stay updated on industry trends and advancements.
Proven experience in providing mentorship and guidance to junior analysts.
Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data analytic projects to ensure alignment with business goals and efficient execution.
Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.

Preferred

Bachelor's degree in analytics related fields such as statistics, mathematics, information systems, computer science, finance, business management, or economics with six years of relevant work experience in a role performing data analysis.
Bachelor's degree in another area of study with eight years of relevant work experience in a role performing data analysis.
Experience without a related degree will be considered if skill set and experience are robust

Responsibilities

This role involves leading the development and deployment of data analytics at Intermountain Health. As a Data Analyst-Technical-Consultant, you will spearhead strategic initiatives, clinical standards, and operational goals through data insights. Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with business and clinical leaders across Intermountain Health. The team ensures data applications are maintained, monitored, promoted, and used effectively.
Provides expert support for management level leadership in a business or clinical area.
Develops a comprehensive understanding of customer data and business/clinical operations they support.
Fulfills high-level customer requests through data exploration, report development, and visual storytelling.
Independently provides project updates and communicates analytic findings to their customers.
Leads and mentors others in analytic work demonstrations and hands-on training for customers to promote understanding and independent consumption of analytic work.
Continuously enhances their technical skillset through individual learning and participation in Intermountain analytic community educational offerings, guided by their leader.
Stay updated on industry trends and advancements
Provide mentorship and guidance to junior analysts

View full posting on CareerOneStop → ID: 94ab1d551d0c

Business Intelligence Analyst

Renaissance · Billings, MT

Mid-level

2026-05-22

MT 2026-05-22

View full posting on CareerOneStop → ID: 2593c45cf5d2

Business Intelligence Engineer II - 3034351

Apex Systems, Inc. · Bellevue, WA

Mid-level

2026-05-22

WA 2026-05-22

View full posting on CareerOneStop → ID: 2cd40ae3f0a8

Business Intelligence Engineer III - 3023360

Apex Systems, Inc. · Seattle, WA

Mid-level

2026-05-22

WA 2026-05-22

View full posting on CareerOneStop → ID: 003ba8054960

Data Analyst 3

Automation and Control Strategies Group, INC. dba ACS Professional Staffing · Vancouver, WA

Mid-level

2026-05-22

WA 2026-05-22

View full posting on CareerOneStop → ID: 500fc67f4506

Sr. Manager, Business Intelligence & Analytics

Datavant · Olympia, WA

Manager

2026-05-22

WA 2026-05-22

View full posting on CareerOneStop → ID: 3221a016b17c

Sr. Manager, Business Intelligence & Analytics

Datavant · Boise, ID

Manager

2026-05-22

ID 2026-05-22

View full posting on CareerOneStop → ID: 00253acee11a

Sr. Manager, Business Intelligence & Analytics

Datavant · Salem, OR

Manager

2026-05-22

OR 2026-05-22

View full posting on CareerOneStop → ID: 1092d2eaf835

Workday Finance Systems and Data Analyst - Senior

Seattle Children's · Seattle, WA

Senior Bachelor's

2026-05-21

WA 2026-05-21

Preferred

Progressively responsible work experience as a Systems or Reporting Analyst or equivalent.
Experience managing medium to large projects using standard project management skills, tools and methodologies.
Experience working with Workday including architecture, business process setup, foundation data model structures and interfaces with related systems.
Continuing technical education requirements of minimum 20 hours per year.

Education

Bachelor's degree in Business Administration, Industrial Engineering, Computer Science or a related field, or equivalent work experience.
Minimum of seven (7) years experience in an Information Services/Information Technology environment working with client/server and/or database concepts.
Minimum of two (2) years development experience with SQL (views, functions etc.), Crystal, Tableau or Workday.
Minimum of two (2) years experience working with Finance systems and processes supporting business customers, end users, and ERP Systems.
Proven experience and knowledge of project management skills, tools and methodologies.
Proven experience leading committees, projects and activities.
Proven ability to fully use and apply standard principles, theories and concepts related to technical discipline.
Experience with clinical, hospital and / or financial applications and / or systems.
*Required Credentials
Certified Workday Professional (e.g., Workday Pro, Workday FIN, Workday Report to Pay) completed or in process.

View full posting on CareerOneStop → ID: 159870194f5d

Business Intelligence Analyst, Compute Operational Excellence

Google · Kirkland, WA

Mid-level

2026-05-21

WA 2026-05-21

View full posting on CareerOneStop → ID: 9ddc90926d7d

Business Intelligence Engineer II

Chewy Inc. · Bellevue, WA

Mid-level

2026-05-21

WA 2026-05-21

View full posting on CareerOneStop → ID: e989ad089bce

Business Intelligence Engineer II

Chewy Inc. · Bellevue, WA

Mid-level

2026-05-21

WA 2026-05-21

View full posting on CareerOneStop → ID: d7930e047aef

Business Intelligence Engineer, FIO Analytics

Amazon · Bellevue, WA

Mid-level

2026-05-21

WA 2026-05-21

View full posting on CareerOneStop → ID: 68f21c32507f

Senior Business Intelligence Engineer, Amazon Customer Service

Amazon · Seattle, WA

Senior

2026-05-21

WA 2026-05-21

View full posting on CareerOneStop → ID: fad390100509

Sr Business Intelligence Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team

Amazon · Seattle, WA

Senior

2026-05-21

WA 2026-05-21

View full posting on CareerOneStop → ID: 29b094901b1b

Business Intelligence Engineer

CenterWell · Olympia, WA

Mid-level

2026-05-21

WA 2026-05-21

View full posting on CareerOneStop → ID: 81855b97675c

Business Intelligence Engineer

CenterWell · Boise, ID

Mid-level

2026-05-21

ID 2026-05-21

View full posting on CareerOneStop → ID: 6dc3c3e9ac43

Business Intelligence Engineer

CenterWell · Helena, MT

Mid-level

2026-05-21

MT 2026-05-21

View full posting on CareerOneStop → ID: 935dc3d2dbbd

Business Intelligence Engineer

CenterWell · Salem, OR

Mid-level

2026-05-21

OR 2026-05-21

View full posting on CareerOneStop → ID: 03f948a74c09

Business Intelligence Engineer, Prime Video Partner Experience & Supply Chain

Amazon · Seattle, WA

Mid-level

2026-05-21

WA 2026-05-21

View full posting on CareerOneStop → ID: fa4d092e2905

Advanced Technologist (Data Analytics)

The Boeing Company · Seattle, WA

Mid-level

2026-05-20

WA 2026-05-20

Requirements

3+ years of experience developing software products in a cloud environment
Collaborating on international and multinational projects.
This is not an Export Control position.

Preferred

3+ experience in building large-scale web applications using React, Angular or Vue.
Demonstrated design and system thinking skills.
3+ years' experience in at least one programming language like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, Node.js and Go, Open-Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and tools such as Github (AWS tools and services is a plus).

Responsibilities

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing Defense, Space and Security (BDS) is seeking a Senior Full Stack Software Developer to support our dynamic team! In this position, you will develop and maintain software products for the next generation. This position will be in one of these locations. Seattle, WA, Arlington, VA, Huntsville, AL, Mesa, AZ, Ridley Park, PA or St Louis, MO.
In this role, you will be developing a full-stack application to support manufacturing operations and facilitate factory floor workers.
Manufacturing Application Suite enables production teams to manage work statements, optimize labor charging, and proactively address non-conformances. This leads to improved shop floor execution, enhanced performance visibility, and data-driven decision-making. Additionally, these applications empower supporting functions such as production engineering by providing necessary data and insights to optimize processes, identify bottlenecks, and drive continuous improvement initiatives. Ultimately, the Application Suite enables teams to meet production targets, improve quality, and foster a culture of ongoing improvement.
Participates in all aspects of agile software development, including design, implementation, and deployment.
Works across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth.
Develops new features and infrastructure in support of rapidly emerging business and project requirements.
Assumes leadership of new projects, from conceptualization to deployment
Ensures application performance, uptime, and scale, and maintain high standards for code quality and application design.
Architects and provides guidance on building end-to-end systems optimized for speed and scale.
Engages with designers and front-end engineers and collaborate with leading back-end engineers to create reliable APIs.
Collaborates across time zones via Teams, Mattermost, GitHub, documents, and frequent videoconferences.
Influences, innovates, and continuously improves the software engineering process as well as quality, safety and reliability of products and services provided by Boeing.
Collaborates proactively with customers, stakeholders, peers and direct reports to understand operational and performance expectations.
Cultivates a positive team culture, team motivation
remediation of complex technical data issues in a regulated/defense environment.
This position is hybrid. This means that the selected candidate will be required to work 2 days a week onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future
This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship.

View full posting on CareerOneStop → ID: b852c6db52f1

Senior Business Intelligence Engineer, Infra Supply Chain Automation

Amazon · Seattle, WA

Senior Bachelor's

2026-05-20

WA 2026-05-20

Requirements

10+ years of professional or military experience
5+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Bachelor's degree

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Responsibilities

Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
Be hands-on with ETL to build data pipeline to support automated reporting.
Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc analyses to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.
Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

View full posting on CareerOneStop → ID: 351735e6c073

Data Analyst

Cardinal Health · Olympia, WA

Mid-level Bachelor's

2026-05-20

WA 2026-05-20

Requirements

BA, BS or equivalent experience in related field. Advance Degree preferred
4-8 years experience preferred
Client facing experience preferred
Advance Excel (including Macros)
Intermediate to Advance SQL
Intermediate to Advance Tableau
Patient/Hub Service, Rare Disease Patient Analytics, Provider Analytics
Call Center Data
Data feeds (Data Aggregators)
Experience with Databricks is a plus
*What is expected of you and others at this level
May contribute to the development of policies and procedures
Works on complex projects of large scope
Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
Completes work independently receives general guidance on new projects
Work reviewed for purpose of meeting objectives
May act as a mentor to less experienced colleagues
*TRAINING AND WORK SCHEDULES: Your new hire training will take place 8:00am-5:00pm CST, mandatory attendance is required.
This position is full-time (40 hours/week). Employees are required to have flexibility to work any of our shift schedules during our normal business hours of Monday-Friday, 7:00am- 7:00pm CST.
*REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private, distraction free environment with access to high-speed internet. We will provide you with the computer, technology and equipment needed to successfully perform your job. You will be responsible for providing high-speed internet. Internet requirements include the following:
Maintain a secure, high-speed, broadband internet connection (DSL, Cable, or Fiber) at the remote location. Dial-up, satellite, WIFI, Cellular connections are NOT acceptable.
Download speed of 15Mbps (megabyte per second)
Upload speed of 5Mbps (megabyte per second)
Ping Rate Maximum of 30ms (milliseconds)
Hardwired to the route
Surge protector with Network Line Protection for CAH issued equipment
*Anticipated hourly range: $80,900 - $115,500

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

Works with the business team to understand business rules, data flow and appropriately create reporting and analytics for the program.
Works with complex datasets to perform exploratory data analysis to provide insights to make business decisions.
This role combines consultative and technology focus to Data Analytics.
The individual should be skilled in bridging gap between technology and operations.
We require a motivated person who is interested in performing exploratory data analysis with complex datasets with minimal direction.
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects

View full posting on CareerOneStop → ID: fd4bcc1b59c7

Value & Implementation (V&I) Medical Data Analytics Center Data Enablement Associate Director

Merck · Olympia, WA

Director Doctorate

2026-05-20

WA 2026-05-20

Requirements

Active Listening, Actuarial Science, Big Data, Business Acumen, Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Detail-Oriented, Health Data Analytics, Medical Insurance Coding, Object-Oriented Design (OOD), Object Oriented Modeling, Object-Oriented Programming (OOP), Software Development, Stakeholder Relationship Management, Trend Knowledge, Version Control

Preferred

Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 10 years of relevant job experience; Master's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 8 years of relevant job experience; PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 5 years of relevant job experience
Experience in Global Medical Affairs
Experience using CMS quality data
Exposure to payer analytics or Market Access analytics
Advanced skills in Microsoft Excel, PowerPoint, and Word
Experience with visualization software such as Tableau, Spotfire, Qlik, or related
Exposure to Big Data technology such as AWS Redshift
Experience using version control and object-oriented programming
Experience with medical coding

Responsibilities

The Value & Implementation (V&I) Medical Data Analytics Center Data Enablement Associate Director assists the V&I organization in discovering information hidden in data to make data driven strategic decisions for the organization.
This role requires a unique combination of skills to gain the trust of therapeutic area and regional colleagues, have an innovative mindset to think through novel ways to help us make better decisions, and execute on the idea by gathering the necessary data and developing analytic solutions that will fulfill our internal stakeholders' needs. This is a great opportunity for a self-motivated individual with strong business acumen along with technical competence.
Relevant Enterprise Leadership Skills (ELS) for this role include: Execution Excellence, Ownership and Accountability, and Business Savviness.
Partners with internal stakeholders to understand the needs of V&I.
Identifies appropriate data sources to address the needs of V&I.
Ensures high quality, rigorous and readily interpretable deliverables.
Develops data visualizations and presentation decks to communicate findings.
Provides recommended actions with stakeholders from senior and executive leadership teams.
Contributes toward a collaborative environment where the Medical Data Analytics Center team 1) maintains an entrepreneurial spirit 2) has a strong understanding of healthcare data and technology 3) can identify and use new data sources.
Keeps abreast of the latest trends in the field through continuous learning and proactively championing new methods to help solve critical and emerging V&I problems and drive V&I activities.
Collaborates and partners with peers in other functions (Human Health (HH), Outcomes Research, etc.) on cross-functional analytics projects and to drive efficiencies in developing innovative quantitative analyses.
Manages external vendors.
Develops and owns scalable-analytic products that fulfill stakeholders needs.
Develops and maintains internal databases, data pipelines, and supporting documentation.
Designs and develops analyses to draw inferences and conclusions to inform decision-making for V&I.
Provides recommended actions to stakeholders.
*Required Qualifications , Skills, & Experience
Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 8 years of relevant job experience; Master's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 5 years of relevant job experience; PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 1 year of relevant job experience.
Demonstrated experience in Advanced Analytics, Statistical Modeling, NLP, AI, Machine Learning
Expertise in Python, object-oriented programming, and version control (e.g., git)
Experience with cloud computing services (e.g., AWS)
Experience using SQL and SQL relational databases
Experience analyzing real-world data assets including EMR and EHR
Strong analytical and problem-solving skills
Strong business acumen in the pharmaceutical industry
Ability to succinctly translate complex ideas and analytical results into actionable insights and recommended actions
Strong presentation skills
Experience in building effective cross-functional partnerships and working across global teams
Ability to influence peers and leaders
Strong listening skills
Attention to detail
An entrepreneurial spirit with a high degree of initiative, innovative thinking, and intellectual curiosity
High degree of personal integrity

View full posting on CareerOneStop → ID: 583b38901be0

Business Intelligence Analyst - Client Computing Group

Intel · Hillsboro, OR

Mid-level Bachelor's

2026-05-20

WA 2026-05-20

Requirements

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. This position is not eligible for Intel immigration sponsorship.
Bachelor's degree in business administration, finance, economics, engineering, STEM or related
1+ years of hands-on experience in:
Microsoft Excel, including complex modeling and analysis
Business analysis, financial analysis, or related experience
Technology hardware, consumer electronics, or PC industry preferred
Market modeling and demand forecasting with AI

Preferred

2+ years of experience with:
Business acumen and understanding of PnL drivers
Project Management skills
Business intelligence tools is a plus (Power BI, Tableau, or similar)

Responsibilities

Intel's Client Compute Group is at the forefront of PC innovation, driving the future of personal computing through cutting-edge technology and strategic market insights. We're committed to delivering exceptional client computing experiences that power productivity, creativity, and connectivity for users worldwide.
We are seeking a detail-oriented and analytically driven Client PC Business Analyst to join our dynamic team. This role focuses on forecasting and analyzing demand across our client PC portfolio through comprehensive financial analysis, market intelligence, and strategic recommendations. You'll play a critical role in driving profitability improvements and supporting data-driven decision-making for our PC business unit.
*Demand Planning and Forecasting
Develop accurate demand forecasts for PC products across multiple SKUs and market segments
Analyze historical sales data, market trends, and seasonality patterns
Support monthly/quarterly market model processes
*Data Analysis and Reporting
Collect, analyze, and interpret segment owner strategies, sales data, market intelligence, and customer insights
Track key performance indicators (KPIs) including forecast accuracy, inventory turns, and service levels
Prepare compelling presentations for cross-functional stakeholders
*Cross-Functional Collaboration
Participate in demand review meetings and provide analytical insights
Communicate demand signals and market trends to relevant stakeholders
*Process Improvement
Identify opportunities to enhance demand planning processes and tools
Support implementation of best practices and standardization initiatives
Assist in system upgrades and process optimization projects
*AI and Technology Integration
Implement and optimize AI-powered demand planning solutions
Utilize machine learning platforms for pattern recognition and predictive analytics
Support A/B testing of AI models against traditional forecasting methods
Train and validate AI algorithms using historical demand data
Stay current with AI/ML trends and applications in demand planning and supply chain
*As a successful candidate, you must possess
Strong analytical mindset with exceptional attention to detail
Excellent problem-solving skills and critical thinking skills
Outstanding communication and presentation capabilities
Skills to translate complex data into actionable business insights
Strong project management skills to manage multiple priorities
Solid business acumen and understanding of profit and loss drivers
Collaborative approach to cross-functional teamwork
Adaptability and eagerness to learn new technologies
Strategic thinking with tactical execution skills

View full posting on CareerOneStop → ID: 6db6e687a464

Quality Systems Specialist (Data Analysis/Visualization & Application) (Associate and Experienced)

The Boeing Company · Everett, WA

Senior

2026-05-20

WA 2026-05-20

Requirements

3+ years of experience in analytics and data visualization
3+ years of experience working with relational database management systems (Exadata, Oracle, Teradata, SQL Server)
3+ years of experience years of experience in developing with front-end programming languages
3+ years of experience in collecting, interpreting data, and managing high level projects for management
3+ years of experience with Microsoft Office Applications
3+ years of experience working with Quality and/or Safety Corrective Action/Preventative Action, Root Cause Corrective Actions
3+ years of experience with a modern JavaScript-based web application front end framework such as React, Vue or Angula
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required.
"U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
*Export Control Details:
US based job, US Person required

Preferred

Level 3 : 3+ years of related work experience or an equivalent combination of education and experience
Experience with programming/coding in Python
Experience working with and partnering with cross-functional teams on projects and initiatives
Experience developing reports and presentations for executive leadership
Skill at defining and prioritizing critical requirements
Experience resolving issues and developing solutions to summarize and convey complex information clearly and concisely
This is a non-union represented position
*Conflict of Interest :
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process

Responsibilities

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
*Boeing Commercial Airplanes (BCA) is looking for an Associate and Experienced Quality Systems Specialist (Data Analysis/Visualization & Application) to join the Supplier Quality Data & Systems team based out of Everett, Washington .
Boeing is a great workplace where employees maintain a positive environment and culture. We are committed to providing our team equal growth opportunities in a stable work environment. We encourage every teammate to feel empowered to bring their best through creativity, innovation, and diversity, as this drives a positive culture through transparency, safety, quality, and respect. Above all, employees will be provided with the opportunity to seek, speak, and listen within the organization. They are encouraged to share externally with each Boeing customer to build balanced work relationships.
Assists in review of proposals, contracts, regulatory, program and customer requirements to prepare quality assurance plans and tests for hardware and software products, processes and services
Maintains Quality directives, policies, processes, procedures and metrics to assure program, contract, customer, regulatory requirements, international standards and working agreements are deployed using established procedures
Collects and verifies data to support the identification of root cause routine problems
Provides ideas and concepts for corrective action development
Supports quality source selection and process reviews of suppliers' ability to meet program quality requirements
Assists with hardware, software and system level audits to determine compliance with quality management system standards, configuration assurance, related business, regulatory and customer requirements
Documents audit results in standard formats
Compiles data and provides recommendations for material review disposition
Works under general supervision

View full posting on CareerOneStop → ID: 10be80140b22

Data Analyst

Cardinal Health · Boise, ID

Mid-level Bachelor's

2026-05-20

ID 2026-05-20

Requirements

BA, BS or equivalent experience in related field. Advance Degree preferred
4-8 years experience preferred
Client facing experience preferred
Advance Excel (including Macros)
Intermediate to Advance SQL
Intermediate to Advance Tableau
Patient/Hub Service, Rare Disease Patient Analytics, Provider Analytics
Call Center Data
Data feeds (Data Aggregators)
Experience with Databricks is a plus
*What is expected of you and others at this level
May contribute to the development of policies and procedures
Works on complex projects of large scope
Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
Completes work independently receives general guidance on new projects
Work reviewed for purpose of meeting objectives
May act as a mentor to less experienced colleagues
*TRAINING AND WORK SCHEDULES: Your new hire training will take place 8:00am-5:00pm CST, mandatory attendance is required.
This position is full-time (40 hours/week). Employees are required to have flexibility to work any of our shift schedules during our normal business hours of Monday-Friday, 7:00am- 7:00pm CST.
*REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private, distraction free environment with access to high-speed internet. We will provide you with the computer, technology and equipment needed to successfully perform your job. You will be responsible for providing high-speed internet. Internet requirements include the following:
Maintain a secure, high-speed, broadband internet connection (DSL, Cable, or Fiber) at the remote location. Dial-up, satellite, WIFI, Cellular connections are NOT acceptable.
Download speed of 15Mbps (megabyte per second)
Upload speed of 5Mbps (megabyte per second)
Ping Rate Maximum of 30ms (milliseconds)
Hardwired to the route
Surge protector with Network Line Protection for CAH issued equipment
*Anticipated hourly range: $80,900 - $115,500

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

Works with the business team to understand business rules, data flow and appropriately create reporting and analytics for the program.
Works with complex datasets to perform exploratory data analysis to provide insights to make business decisions.
This role combines consultative and technology focus to Data Analytics.
The individual should be skilled in bridging gap between technology and operations.
We require a motivated person who is interested in performing exploratory data analysis with complex datasets with minimal direction.
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects

View full posting on CareerOneStop → ID: dfc9f374393e

Financial Data Analyst

TEKsystems · Boise, ID

Mid-level

2026-05-20

ID 2026-05-20

Requirements

A self-motivated professional who can work independently and collaboratively
Strong attention to detail with a focus on accuracy
A business-minded analyst who can turn data into actionable insights
Someone who thrives in a fast-paced, data-driven environment
Tools & Technologies
Excel (Advanced)
SQL / Snowflake
Tableau / Power BI
Oracle ERP systems
Essbase (preferred)

Responsibilities

We are seeking a highly analytical and business-focused Financial Data Analyst III to support Supply Chain Finance and Distribution operations. In this role, you will provide financial guidance, deliver actionable insights, and partner closely with leadership to improve operational efficiency and performance.
You will play a key role in analyzing complex financial data, identifying trends and variances, and supporting both strategic initiatives and day-to-day reporting.
Analyze large financial datasets to identify trends, risks, and opportunities
Develop financial models, dashboards, and reporting tools to support decision-making
Partner with Supply Chain leadership to improve operational and financial performance
Perform variance analysis and deliver insights to stakeholders at all levels
Support forecasting, budgeting, and ad hoc financial analysis
Create data-driven recommendations for productivity and efficiency improvements
Present findings clearly through reporting, storytelling, and visualization tools
? Required Qualifications
Minimum 4+ years of experience in:
Financial analysis
Financial modeling
Accounting, finance, or related fields
Strong ability to analyze and interpret large datasets
Advanced proficiency in Microsoft Excel
Experience with:
SQL, Snowflake, or similar data platforms
Tableau, Power BI, or other BI tools
Oracle or similar ERP systems
Proven problem-solving skills using structured analytical methods
Strong written and verbal communication skills
? Preferred Qualifications
Experience in Retail or Consumer Packaged Goods (CPG) industries
Experience with Essbase or similar financial planning tools
Familiarity with syndicated data sources (e.g., Nielsen, IRI)
Strong presentation and storytelling capabilities
Ability to communicate technical insights to non-technical stakeholders
Data analysis & financial modeling
SQL and reporting tools
Business intelligence (Tableau / Power BI)
Financial forecasting & variance analysis
Cross-functional collaboration
Executive-level communication
What Makes This Opportunity Stand Out
Strategic, high-impact role partnering with supply chain leadership
Opportunity to influence operational and financial decision-making
Exposure to large-scale data environments and enterprise tools
Collaborative environment with visibility across multiple functions
Strong opportunity for career growth and advancement

View full posting on CareerOneStop → ID: 79fd957e35a4

Financial Data Analyst

TEKsystems · Boise, ID

Mid-level

2026-05-20

ID 2026-05-20

Requirements

Strong experience in financial reporting, data analysis, and performance analysis
Advanced financial modeling and analytical capabilities
Solid understanding of finance and accounting principles
Experience working with large datasets and building reporting solutions
Proficiency in SQL for data extraction and analysis
Strong communication skills with the ability to influence stakeholders
Expert-level experience in financial analysis, FP&A, or a related field

Preferred

Experience supporting supply chain or distribution organizations
Experience with reporting tools and dashboard development (e.g., Power BI, Tableau, Excel)
Ability to work independently and in fast-paced, dynamic environments

Responsibilities

The Financial Data Analyst III - Supply Chain FP&A provides financial guidance, analytical support, and actionable insights to the Distribution organization. This role partners closely with Supply Chain leadership to evaluate performance, identify trends and variances, and drive productivity and operational efficiency initiatives. The analyst will develop financial models, reporting, and dashboards while serving as a key finance business partner to both corporate and field distribution teams.
Analyze financial and operational performance across supply chain and distribution functions, identifying trends, variances, and opportunities for improvement
Develop and maintain financial models, forecasts, and reporting tools to support decision-making
Create dashboards and reports to track KPIs, operational metrics, and financial results
Partner with cross-functional leaders to provide insights that improve efficiency and cost optimization
Support monthly, quarterly, and annual financial reporting processes
Conduct ad hoc analysis and present findings to leadership at all levels
Translate complex data into clear, actionable business recommendations

View full posting on CareerOneStop → ID: 17d256643b05

Value & Implementation (V&I) Medical Data Analytics Center Data Enablement Associate Director

Merck · Boise, ID

Director Doctorate

2026-05-20

ID 2026-05-20

Requirements

Active Listening, Actuarial Science, Big Data, Business Acumen, Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Detail-Oriented, Health Data Analytics, Medical Insurance Coding, Object-Oriented Design (OOD), Object Oriented Modeling, Object-Oriented Programming (OOP), Software Development, Stakeholder Relationship Management, Trend Knowledge, Version Control

Preferred

Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 10 years of relevant job experience; Master's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 8 years of relevant job experience; PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 5 years of relevant job experience
Experience in Global Medical Affairs
Experience using CMS quality data
Exposure to payer analytics or Market Access analytics
Advanced skills in Microsoft Excel, PowerPoint, and Word
Experience with visualization software such as Tableau, Spotfire, Qlik, or related
Exposure to Big Data technology such as AWS Redshift
Experience using version control and object-oriented programming
Experience with medical coding

Responsibilities

The Value & Implementation (V&I) Medical Data Analytics Center Data Enablement Associate Director assists the V&I organization in discovering information hidden in data to make data driven strategic decisions for the organization.
This role requires a unique combination of skills to gain the trust of therapeutic area and regional colleagues, have an innovative mindset to think through novel ways to help us make better decisions, and execute on the idea by gathering the necessary data and developing analytic solutions that will fulfill our internal stakeholders' needs. This is a great opportunity for a self-motivated individual with strong business acumen along with technical competence.
Relevant Enterprise Leadership Skills (ELS) for this role include: Execution Excellence, Ownership and Accountability, and Business Savviness.
Partners with internal stakeholders to understand the needs of V&I.
Identifies appropriate data sources to address the needs of V&I.
Ensures high quality, rigorous and readily interpretable deliverables.
Develops data visualizations and presentation decks to communicate findings.
Provides recommended actions with stakeholders from senior and executive leadership teams.
Contributes toward a collaborative environment where the Medical Data Analytics Center team 1) maintains an entrepreneurial spirit 2) has a strong understanding of healthcare data and technology 3) can identify and use new data sources.
Keeps abreast of the latest trends in the field through continuous learning and proactively championing new methods to help solve critical and emerging V&I problems and drive V&I activities.
Collaborates and partners with peers in other functions (Human Health (HH), Outcomes Research, etc.) on cross-functional analytics projects and to drive efficiencies in developing innovative quantitative analyses.
Manages external vendors.
Develops and owns scalable-analytic products that fulfill stakeholders needs.
Develops and maintains internal databases, data pipelines, and supporting documentation.
Designs and develops analyses to draw inferences and conclusions to inform decision-making for V&I.
Provides recommended actions to stakeholders.
*Required Qualifications , Skills, & Experience
Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 8 years of relevant job experience; Master's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 5 years of relevant job experience; PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 1 year of relevant job experience.
Demonstrated experience in Advanced Analytics, Statistical Modeling, NLP, AI, Machine Learning
Expertise in Python, object-oriented programming, and version control (e.g., git)
Experience with cloud computing services (e.g., AWS)
Experience using SQL and SQL relational databases
Experience analyzing real-world data assets including EMR and EHR
Strong analytical and problem-solving skills
Strong business acumen in the pharmaceutical industry
Ability to succinctly translate complex ideas and analytical results into actionable insights and recommended actions
Strong presentation skills
Experience in building effective cross-functional partnerships and working across global teams
Ability to influence peers and leaders
Strong listening skills
Attention to detail
An entrepreneurial spirit with a high degree of initiative, innovative thinking, and intellectual curiosity
High degree of personal integrity

View full posting on CareerOneStop → ID: eab81ea94e0a

Data Analyst

Cardinal Health · Salem, OR

Mid-level Bachelor's

2026-05-20

OR 2026-05-20

Requirements

BA, BS or equivalent experience in related field. Advance Degree preferred
4-8 years experience preferred
Client facing experience preferred
Advance Excel (including Macros)
Intermediate to Advance SQL
Intermediate to Advance Tableau
Patient/Hub Service, Rare Disease Patient Analytics, Provider Analytics
Call Center Data
Data feeds (Data Aggregators)
Experience with Databricks is a plus
*What is expected of you and others at this level
May contribute to the development of policies and procedures
Works on complex projects of large scope
Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
Completes work independently receives general guidance on new projects
Work reviewed for purpose of meeting objectives
May act as a mentor to less experienced colleagues
*TRAINING AND WORK SCHEDULES: Your new hire training will take place 8:00am-5:00pm CST, mandatory attendance is required.
This position is full-time (40 hours/week). Employees are required to have flexibility to work any of our shift schedules during our normal business hours of Monday-Friday, 7:00am- 7:00pm CST.
*REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private, distraction free environment with access to high-speed internet. We will provide you with the computer, technology and equipment needed to successfully perform your job. You will be responsible for providing high-speed internet. Internet requirements include the following:
Maintain a secure, high-speed, broadband internet connection (DSL, Cable, or Fiber) at the remote location. Dial-up, satellite, WIFI, Cellular connections are NOT acceptable.
Download speed of 15Mbps (megabyte per second)
Upload speed of 5Mbps (megabyte per second)
Ping Rate Maximum of 30ms (milliseconds)
Hardwired to the route
Surge protector with Network Line Protection for CAH issued equipment
*Anticipated hourly range: $80,900 - $115,500

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

Works with the business team to understand business rules, data flow and appropriately create reporting and analytics for the program.
Works with complex datasets to perform exploratory data analysis to provide insights to make business decisions.
This role combines consultative and technology focus to Data Analytics.
The individual should be skilled in bridging gap between technology and operations.
We require a motivated person who is interested in performing exploratory data analysis with complex datasets with minimal direction.
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects

View full posting on CareerOneStop → ID: 5cd196ba43e2

Value & Implementation (V&I) Medical Data Analytics Center Data Enablement Associate Director

Merck · Salem, OR

Director Doctorate

2026-05-20

OR 2026-05-20

Requirements

Active Listening, Actuarial Science, Big Data, Business Acumen, Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Detail-Oriented, Health Data Analytics, Medical Insurance Coding, Object-Oriented Design (OOD), Object Oriented Modeling, Object-Oriented Programming (OOP), Software Development, Stakeholder Relationship Management, Trend Knowledge, Version Control

Preferred

Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 10 years of relevant job experience; Master's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 8 years of relevant job experience; PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 5 years of relevant job experience
Experience in Global Medical Affairs
Experience using CMS quality data
Exposure to payer analytics or Market Access analytics
Advanced skills in Microsoft Excel, PowerPoint, and Word
Experience with visualization software such as Tableau, Spotfire, Qlik, or related
Exposure to Big Data technology such as AWS Redshift
Experience using version control and object-oriented programming
Experience with medical coding

Responsibilities

The Value & Implementation (V&I) Medical Data Analytics Center Data Enablement Associate Director assists the V&I organization in discovering information hidden in data to make data driven strategic decisions for the organization.
This role requires a unique combination of skills to gain the trust of therapeutic area and regional colleagues, have an innovative mindset to think through novel ways to help us make better decisions, and execute on the idea by gathering the necessary data and developing analytic solutions that will fulfill our internal stakeholders' needs. This is a great opportunity for a self-motivated individual with strong business acumen along with technical competence.
Relevant Enterprise Leadership Skills (ELS) for this role include: Execution Excellence, Ownership and Accountability, and Business Savviness.
Partners with internal stakeholders to understand the needs of V&I.
Identifies appropriate data sources to address the needs of V&I.
Ensures high quality, rigorous and readily interpretable deliverables.
Develops data visualizations and presentation decks to communicate findings.
Provides recommended actions with stakeholders from senior and executive leadership teams.
Contributes toward a collaborative environment where the Medical Data Analytics Center team 1) maintains an entrepreneurial spirit 2) has a strong understanding of healthcare data and technology 3) can identify and use new data sources.
Keeps abreast of the latest trends in the field through continuous learning and proactively championing new methods to help solve critical and emerging V&I problems and drive V&I activities.
Collaborates and partners with peers in other functions (Human Health (HH), Outcomes Research, etc.) on cross-functional analytics projects and to drive efficiencies in developing innovative quantitative analyses.
Manages external vendors.
Develops and owns scalable-analytic products that fulfill stakeholders needs.
Develops and maintains internal databases, data pipelines, and supporting documentation.
Designs and develops analyses to draw inferences and conclusions to inform decision-making for V&I.
Provides recommended actions to stakeholders.
*Required Qualifications , Skills, & Experience
Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 8 years of relevant job experience; Master's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 5 years of relevant job experience; PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 1 year of relevant job experience.
Demonstrated experience in Advanced Analytics, Statistical Modeling, NLP, AI, Machine Learning
Expertise in Python, object-oriented programming, and version control (e.g., git)
Experience with cloud computing services (e.g., AWS)
Experience using SQL and SQL relational databases
Experience analyzing real-world data assets including EMR and EHR
Strong analytical and problem-solving skills
Strong business acumen in the pharmaceutical industry
Ability to succinctly translate complex ideas and analytical results into actionable insights and recommended actions
Strong presentation skills
Experience in building effective cross-functional partnerships and working across global teams
Ability to influence peers and leaders
Strong listening skills
Attention to detail
An entrepreneurial spirit with a high degree of initiative, innovative thinking, and intellectual curiosity
High degree of personal integrity

View full posting on CareerOneStop → ID: b8de2a34bde1

Data Analyst

Cardinal Health · Helena, MT

Mid-level

2026-05-20

MT 2026-05-20

View full posting on CareerOneStop → ID: aaac8b2ef96a

Value & Implementation (V&I) Medical Data Analytics Center Data Enablement Associate Director

Merck · Helena, MT

Director

2026-05-20

MT 2026-05-20

View full posting on CareerOneStop → ID: 354ae70c7c45

Business Intelligence Engineer, Amazon Kids+

Amazon · Seattle, WA

Mid-level Master's

2026-05-19

WA 2026-05-19

Requirements

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Working knowledge of Generative AI (LLMs, agentic AI, context engineering) and its application to data analytics, automation, or BI tooling

Preferred

Master's degree, or Advanced technical degree
Demonstrated experience building agentic AI workflows (e.g., multi-step automation, LLM-augmented pipelines) for data modeling, metric generation, or analytical reporting

Responsibilities

Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards that provide insights into subscriber behavior, engagement patterns, and content performance
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting around key subscription metrics including acquisition, retention, and engagement
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for stakeholders across Product, Content, Marketing, and Leadership teams
Use analytical and statistical rigor to identify performance gaps and opportunities for optimization across the subscriber lifecycle

View full posting on CareerOneStop → ID: 3ec34eb78602

Business Intelligence Engineer, Amazon Kids+

Amazon · Seattle, WA

Mid-level Master's

2026-05-19

WA 2026-05-19

Requirements

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Working knowledge of Generative AI (LLMs, agentic AI, context engineering) and its application to data analytics, automation, or BI tooling

Preferred

Master's degree, or Advanced technical degree
Demonstrated experience building agentic AI workflows (e.g., multi-step automation, LLM-augmented pipelines) for data modeling, metric generation, or analytical reporting

Responsibilities

Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards that provide insights into subscriber behavior, engagement patterns, and content performance
Develop queries and visualizations for standardized reporting around key subscription metrics including acquisition, retention, and engagement
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for stakeholders across Product, Content, Marketing, and Leadership teams
Use analytical and statistical rigor to identify performance gaps and opportunities for optimization across the subscriber lifecycle

View full posting on CareerOneStop → ID: 20176cb41d6e

Senior Program Manager - Tech, Quick Sight - Structured Data Analytics

Amazon · Seattle, WA

Manager

2026-05-19

WA 2026-05-19

Requirements

5+ years of technical product or program management experience
7+ years of working directly with engineering teams experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules

Preferred

5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership

Responsibilities

Own complex, cross-functional programs end-to-end - define the program mission, vision, and tenets; set objectives; create plans with clear, measurable success criteria; and drive engineering teams inside and outside your organization to deliver.
Operate with deep technical judgment. Understand system architectures, dependencies, scaling factors, and boundary conditions. Question proposals, test assumptions, decouple dependencies, and ensure engineering teams are focused on the right solutions for the customer. Hold teams to a high standard for both solution design and engineering practices.
Negotiate priorities and make crisp trade-offs - time vs. scope vs. cost, short-term needs vs. long-term architecture, feature velocity vs. operational excellence. Use data relentlessly to inform decisions and communicate progress.
Drive alignment across product, engineering, and business stakeholders. Ensure business and technical needs stay synchronized. Provide context - past, current, and future - for technology choices. When confronted with discordant views, find the best path forward and influence others to follow it.
Key contributor to critical success metric with specific high value external facing customers and associated opportunities

View full posting on CareerOneStop → ID: 87deccfa9cb1

Data Analyst 3

Automation and Control Strategies Group, INC. dba ACS Professional Staffing · Vancouver, WA

Mid-level

2026-05-19

WA 2026-05-19

Responsibilities

Provide data analysis for quality assurance testing efforts related to Settlements data.
Provide data analysis to support settlements daily, weekly, and monthly calculations.
Document data flow diagrams, entity relationship diagrams, and other project deliverables.
Provide PL/SQL databases (queries, functions, stored procedures)
Produce excel macros using VBA coding
Coordinate with assigned departments and other organizational partners including consultants.
Develop and maintain an understanding of higher-level activities of wholesale electric transmission customers in the western states as context for the goals of market, consumer, and business analysis.

View full posting on CareerOneStop → ID: edfb907d7828

Research Data Analyst (Remote)

Insight Global · Portland, OR

Mid-level

2026-05-19

WA 2026-05-19

Requirements

Certifications: Epic Clarity, Caboodle, Cogito
2+ years' in cancer research (specifically Oncology)
Expert knowledge of Cancer data in Epic EHR
Expert knowledge of Epic Clarity and Caboodle data models
Knowledge of HIPAA and HSR regulation
Knowledge of electronic data capture (EDC), data ware housing, data quality, and NAACCR cancer reporting (North American Association of Central Cancer Registries)
Expertise with SQL and T-SQL Previous Academic medical facility experience

Responsibilities

Serve as a key contact for Cancer Institute scientists seeking EHR data and support for research purposes. Serve as subject matter expert on cancer EHR data. Lead project intakes, gather requirements and advise study designers on technical and regulatory matters. Generate data extracts and data models for IRB approved cancer research. Design and architect complex data marts for research repositories, longitudinal studies and precision medicine initiatives. Direct data engineers on research data and infrastructure requirements. Collaborate with data engineers to provide research infrastructure, and investigators to write grants, reports, and scientific publications.

View full posting on CareerOneStop → ID: ada5c4ba85bf

Data Analyst

TEKsystems · Remote, OR

Mid-level

2026-05-17

OR 2026-05-17

Responsibilities

Maintain and monitor the technical infrastructure for HIE and SAS platforms, ensuring high availability and performance
Ensure stability and performance of data exchange systems and applications
Manage change orders, system updates, and bug fixes for clinical portal and other data exchange services
Coordinate with internal teams and vendors for testing and deployments of changes.
Support technical analysis efforts, bringing detailed knowledge of EHR systems and data integration methodologies
Work closely with cross-functional teams including participants, EHR vendors, data architects, developers, analysts, and clinical stakeholders to ensure data quality and system reliability
Sql, Data, Data analysis, SAS
Top Skills Details
Sql,Data,Data analysis,SAS

View full posting on CareerOneStop → ID: 200a2195d8d9

Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO

Amazon · Bellevue, WA

Mid-level

2026-05-17

WA 2026-05-17

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Own the data architecture and reporting infrastructure for UPB, DDF, and CPP forecasting inputs across US and international marketplaces
Build and maintain automated pipelines that produce weekly forecast bridges, variance decompositions, and accuracy tracking consumed by leadership (WBR, QBR, OP cycles)
Develop AI-assisted analytical workflows that automate recurring analyses, anomaly detection, and root-cause investigation across large-scale forecasting datasets
Partner with research scientists and economists to validate model outputs, backtest forecast accuracy, and translate model improvements into business impact ($M attribution)
Design and build self-service dashboards and data products that enable product managers and scientists to independently explore forecast performance without ad-hoc requests
Mine and integrate data across simulation results, log files, fulfillment systems, and transportation datasets to identify trends, quantify risks, and support planning decisions
Drive data quality improvement projects - defining data contracts, monitoring freshness/completeness, and building alerting systems that surface issues before they reach downstream consumers
Collaborate with software development teams to implement analytics systems and data structures that support ML model delivery and large-scale experimentation
Your morning starts with an automated variance report your pipeline generated overnight - Units per box (UPB) missed plan, and the system already attributed the gap to a drop in inventory availability. You add context and push the summary to leadership before 10am. Mid-day, you're building backtesting infrastructure for a scientist's new model, then pairing with a partner team to root-cause an unexpected data drift. In the afternoon, you're developing an AI agent that automates a recurring weekly report - retrieving data, computing breakdowns, and drafting the narrative with human review before publishing. You end the day reviewing a teammate's code change that adds a new marketplace to a forecasting pipeline. The thread across it all: building systems that make the team faster and the forecasts more reliable.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

View full posting on CareerOneStop → ID: c46465b8986b

ESG Data Analyst

T-Mobile USA, Inc · Bellevue, WA

Mid-level Bachelor's

2026-05-17

WA 2026-05-17

Requirements

Bachelors Degree plus 2 years of related work experience or combination of education and experience deemed equivalent
2-4 years experience in ESG data analysis
Knowledge of ESG reporting frameworks, regulations, and methodologies including CSRD, EU Taxonomy, ISSB, TCFD, GRI, SASB, and other relevant frameworks.
Experience running end-to-end ESG data collection and reporting processes, including management of an ESG reporting software solution to compile data from different sources.
Experience analyzing different types of ESG data and applying tools to build executive-ready data dashboards.

Responsibilities

T-Mobile is seeking a collaborative and detail oriented ESG reporting professional to join their ESG Strategy & Sustainability team. In this role, you will play a key role in establishing T-Mobile as a leader in responsible business practices. You will be responsible for owning the design, management, and continuous improvement of T-Mobile's environmental, social and governance (ESG) data infrastructure - ensuring accuracy, integrity, and alignment with evolving global standards. This includes leading the data collection and disclosure readiness process for internal and external ESG reporting led by the team, which encompasses the annual Corporate Responsibility Report and alignment to ESG frameworks and standards, such as GRI, SASB, and CSRD. The role will also develop and continuously evolve a scalable ESG data management framework and collection approach that supports T-Mobile's priority ESG topics, regulatory compliance, business priorities and enterprise decision-making.
* This is a hybrid role (3 days/week) in the office. Our preferred locations are Overland Park, KS or Frisco, TX; we may also consider Bellevue, WA
Own and manage T-Mobile's ESG data collection, validation, and reporting processes, serving as the central "source of truth" for ESG metrics and disclosures. This includes working across the business to collect and inventory ESG-related data within critical timelines.
Design, implement, and enhance the company's ESG data management system, including software implementation, roadmap planning for system development requirements, user training and support for teams across the business, internal controls, validation checks, documentation, and audit trails.
Lead ESG data execution for annual reporting projects, quarterly progress updates, internal dashboards, and ad hoc requests from key partners.
Maintain SOPs and required documentation to support internal reporting controls and external assurance readiness of ESG metrics and KPIs.
Seek opportunities to automate processes, strengthen controls, and improve data reliability.
Provide data, analytics, and insights to support ESG and Sustainability strategic decisions and performance management.
Support company's ESG ratings and ranker submissions (e.g. MSCI, Sustainalytics, ISS, etc.) through timely data validation and performance analysis.
Serve as a trusted advisor to internal partners by supporting them during data development and metrics creation.
Maintain awareness of industry-wide standards and developments in ESG and appropriately provide consultation on internal changes as necessary.
Assist with various projects as needed.

View full posting on CareerOneStop → ID: 27bf96e524b0

Data Analyst

Idaho Division of Human Resources · Boise, ID

Mid-level Bachelor's

2026-05-16

ID 2026-05-16

Requirements

Considerable knowledge of:
Data analytics and data management
Typically gained by completing a bachelor's degree in data analytics and data management or a closely related field and one year of relevant experience, OR four to five years of high-level in nature experience directly related to data analytics and data management.
Good knowledge of:
Programming and query languages related to the governance and analysis of data
Typically gained by completing two to four upper division courses or trainings in programming and query languages related to the governance and analysis of data, AND two to four years of mid-level experience using programming and query languages related to the governance and analysis of data.
Data architecture and governance theories
Typically gained by completing two to four upper division courses or trainings in data architecture and governance theories, AND two to four years of mid-level experience closely related to data architecture and governance theories.
Data cleansing and governance
Typically gained by completing two to four upper division coursework or trainings in data cleansing and governance, AND two to four years of mid-level experience closely related to data cleansing and governance.
Data dictionaries and metadata; data visualization.
Typically gained by at least two years of experience working with data dictionaries, metadata, and data visualization.

Preferred

Strong Python and SQL scripting skills
Experience developing system integrations and building automated data pipelines and ETL /ELT processes
Ability to establish secure, resilient connections to RESTful and other enterprise APIs for platforms such as SharePoint, Mimecast, ServiceNow, and Google Analytics.
Experience with Snowflake administration, including RBAC, network policies, SSO, optimizing storage, and general data warehouse operations
Experience creating data visualizations using custom development and out-of-the-box tools such as Tableau and Power BI
Experience in data analytics and statistics using Python and/or R modules
Experience in database design, data management and data governance
Excellent communication skills, a willingness to help others and ability to work effectively in a cross-functional team environment.
Applications will be accepted through 11:59 PM MST on the posting end date.
The State of Idaho offers a robust total compensation package, including medical, vision, and dental insurance; PERSI retirement benefits; paid sick, vacation, and parental leave; and 11 paid holidays per year. For additional information related to benefits and/or state programs, please visit https://dhr.idaho.gov/StateEmployees/Benefits.html.
EEO/ADA/Veteran:

Responsibilities

Work with other members of the Data Team to engage with state employees to conduct an inventory of existing data, data needs, data quality, and business cases tied to data for ITS and the State of Idaho.
Participate in refining, implementing and automating data strategies, including master database design, improving data quality, data governance and data management.
Write SQL scripts to build databases, schemas, tables and workflows in Snowflake Data warehouse.
Build Streamlit apps using Python within the Snowflake environment.
Write Python scripts to connect to various databases and APIs and automate data loads from various sources into Snowflake .
Support ETL (Extract, Transform, Load) processes using SQL and Python as well as ETL tools in Tableau.
Analyze data and develop reports, info-graphs and dashboards to visualize data for decision making, monitoring and communication. Create visualizations using Tableau and PowerBI, and complete custom web development using JavaScript.
Assist and educate other members of the Data Team with development and workflow automation using Python and JavaScript.
Administer Tableau and Snowflake cloud environments, implementing security protocols, and user support. Monitor and maintain daily scheduled jobs and tasks for successful data loads and completions.

View full posting on CareerOneStop → ID: 07684803a946

Data Analyst, Data & Analytics - Med USMPD

Cardinal Health · Boise, ID

Mid-level Master's

2026-05-16

ID 2026-05-16

Requirements

Bachelors' Degree in related field, or equivalent work experience
5+ years of experience in Data Analytics field preferred
Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
Experience with relational databases (Oracle, SQL Server preferred)
Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
Ability to identify and troubleshoot critical issues
Strong presentation skills preferred
Develops clear and well-structured analytical plans and analyzes large datasets
Helps business by interpreting data to assess and compare performance
Experience with business-critical applications
Experience translating vague requests into concrete deliverables
Experience with migrating legacy systems to modern cloud-based analytical solutions
Ability to adapt to fast changing environments
Experience with complex data environments and leveraging disparate data sources, including 3rd party data

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

AWS/Google Cloud platform experience
Agile implementation experience
Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
Experience working with SAP systems
Experience with Python and/or R
Understanding of Project management lifecycle
*What is expected of you and others at this level
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
May contribute to the development of policies and procedures
Works on complex projects of large scope
Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
Completes work independently receives general guidance on new projects
Work reviewed for purpose of meeting objectives
May act as a mentor to less experienced colleagues

View full posting on CareerOneStop → ID: f6339e98da05

Manager, Business Intelligence

Humana · Boise, ID

Manager Bachelor's

2026-05-16

ID 2026-05-16

Requirements

Minimum 5 years of technical experience in data analysis
Minimum 3 years of experience in SQL development
Advanced experience working with big and complex data sets within large organizations
Hands-on experience working with Databricks
Healthcare knowledge within the Medicare/Medicaid space
Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
Proficiency in understanding Healthcare related data
Proficiency in verbal/written communication to senior and executive leadership
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Must be able to accommodate business hours according to Eastern Standard Time
Experience in building and maintaining visualization suites that support a wide array of business customers
Demonstrated experience in developing and mentoring junior staff members
Maintain availability outside standard business hours based on business need

Preferred

Bachelor's Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field
Minimum 2 years of leadership experience (team(s) up to 10 people) managing direct reports
Experience analyzing Medicare Enrollment and Membership data including 834 file processing
Experience with tools such as Power BI for creating data visualizations
Expertise in data mining, forecasting, simulation, and/or predictive modeling
Experience creating analytics solutions for various healthcare sectors
Experience in cloud computing (Azure preferred)
Experience managing workloads via Azure DevOps
Professional experience with Azure DevOps, GIT, NuGet, CI/CD processes and Agile methodologies
Hands on experience working with agile/scrum methodologies including user story grooming, sprint planning etc. to deliver high quality software solutions improving team velocity and speed to market
Experience with Data Warehousing (Azure/SQL/Synapse) and ETL (Azure Data Factory/SSIS)
*Additional Information

View full posting on CareerOneStop → ID: 634b860d5abd

Data Analyst, Data & Analytics - Med USMPD

Cardinal Health · Salem, OR

Mid-level Master's

2026-05-16

OR 2026-05-16

Requirements

Bachelors' Degree in related field, or equivalent work experience
5+ years of experience in Data Analytics field preferred
Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
Experience with relational databases (Oracle, SQL Server preferred)
Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
Ability to identify and troubleshoot critical issues
Strong presentation skills preferred
Develops clear and well-structured analytical plans and analyzes large datasets
Helps business by interpreting data to assess and compare performance
Experience with business-critical applications
Experience translating vague requests into concrete deliverables
Experience with migrating legacy systems to modern cloud-based analytical solutions
Ability to adapt to fast changing environments
Experience with complex data environments and leveraging disparate data sources, including 3rd party data

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

AWS/Google Cloud platform experience
Agile implementation experience
Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
Experience working with SAP systems
Experience with Python and/or R
Understanding of Project management lifecycle
*What is expected of you and others at this level
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
May contribute to the development of policies and procedures
Works on complex projects of large scope
Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
Completes work independently receives general guidance on new projects
Work reviewed for purpose of meeting objectives
May act as a mentor to less experienced colleagues

View full posting on CareerOneStop → ID: b573f361cfec

Manager, Business Intelligence

Humana · Salem, OR

Manager Bachelor's

2026-05-16

OR 2026-05-16

Requirements

Minimum 5 years of technical experience in data analysis
Minimum 3 years of experience in SQL development
Advanced experience working with big and complex data sets within large organizations
Hands-on experience working with Databricks
Healthcare knowledge within the Medicare/Medicaid space
Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
Proficiency in understanding Healthcare related data
Proficiency in verbal/written communication to senior and executive leadership
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Must be able to accommodate business hours according to Eastern Standard Time
Experience in building and maintaining visualization suites that support a wide array of business customers
Demonstrated experience in developing and mentoring junior staff members
Maintain availability outside standard business hours based on business need

Preferred

Bachelor's Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field
Minimum 2 years of leadership experience (team(s) up to 10 people) managing direct reports
Experience analyzing Medicare Enrollment and Membership data including 834 file processing
Experience with tools such as Power BI for creating data visualizations
Expertise in data mining, forecasting, simulation, and/or predictive modeling
Experience creating analytics solutions for various healthcare sectors
Experience in cloud computing (Azure preferred)
Experience managing workloads via Azure DevOps
Professional experience with Azure DevOps, GIT, NuGet, CI/CD processes and Agile methodologies
Hands on experience working with agile/scrum methodologies including user story grooming, sprint planning etc. to deliver high quality software solutions improving team velocity and speed to market
Experience with Data Warehousing (Azure/SQL/Synapse) and ETL (Azure Data Factory/SSIS)
*Additional Information

View full posting on CareerOneStop → ID: 3590ab034c56

Business Data Analyst

Milliman, Inc · Seattle, WA

Mid-level Master's

2026-05-16

WA 2026-05-16

Requirements

Bachelor's degree in Business, Economics, Statistics, Data Science, or a related field. A Master's degree is a plus.
2+ years of relevant experience
Proven experience as a Business Data Analyst or similar role.
Proficiency in data analysis tools and software, specifically Excel. SQL experience a plus.
Experience with data visualization tools, such as PowerBI, Tableau, or similar. Knowledge of Canva is a plus for creating engaging infographics.
Demonstrated ability to work in a fast-paced, dynamic environment and meet deadlines effectively.
Excellent problem-solving skills and attention to detail, accurately and thoroughly accomplishing assignments.
Effectively manages time with the ability to manage multiple projects simultaneously.
Demonstrates respectful interactions with colleagues at all levels in MedInsight.
Ability to maintain confidentiality of data and information.
*What makes this a great opportunity?
Join an innovat

Responsibilities

The Business Data Analyst will be responsible for analyzing and interpreting complex data sets to provide actionable insights that drive business management and improvement strategies. This role requires a strong analytical mindset, proficiency in statistical methods, and an ability to develop an understanding of business objectives to effectively translate data into findings. The ideal candidate will have experience with data visualization tools, a strong interest in learning and applying new skills to advance business data analysis, and a passion for turning data into meaningful business outcomes. This role will report to the Director of Operations Strategy on the Business team.
Collaborate with cross-functional teams to understand business needs and translate them into data reporting requirements.
Document data sources, data definitions, methodologies, and processes to ensure data integrity and facilitate knowledge sharing within the team.
Collect, clean, and analyze data from various sources to identify trends, patterns, and insights.
Develop and maintain dashboards, reports, and visualizations using tools such as PowerBI, Excel, or Canva.
Conduct data analyses and modeling to support business objectives and decision-making processes.
Ensure compliance with data governance standards and privacy regulations.
Prepare data visualizations and present findings through clear and concise reports, presentations, and infographics.
Perform regular data audits to ensure accuracy, consistency, and completeness of data, and work with cross-functional teams to address any discrepancies and resolve data issues identified.
Continuous learning to stay current with best practices, skills, and AI in data analysis and business intelligence.

View full posting on CareerOneStop → ID: 5f8231cd9aef

Business Intel Engineer II, SCOT - Automated Inventory Management

Amazon · Bellevue, WA

Manager Master's

2026-05-16

WA 2026-05-16

Requirements

Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in the data/BI space
Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Master's degree or above in a quantitative field

Responsibilities

Performing complex analysis to understand the behavior of automated inventory management systems, identify the root cause of system / process issues and provide insight on potential solutions.
Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple Marketplaces globally
Assessing the end-to-end suite of audits and identifying opportunities for enhancements and simplification, working with other audit owners
Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms, self service dashboard, Single source of truth tables)
Supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap
Developing dashboards and insight products
Fostering culture of continuous engineering improvement through blueprints, mentoring, feedback, and metrics
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

View full posting on CareerOneStop → ID: 47c9cacd1445

Business Intelligence Engineer, ADSP Product Operations & Analytics

Amazon · Seattle, WA

Mid-level Doctorate

2026-05-16

WA 2026-05-16

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
3+ years of developing automated reporting experience
2+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in Statistical Analysis packages such as R, SAS and Matlab
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Investigate complex business challenges by identifying root causes of delivery gaps and operational inefficiencies while uncovering opportunities to optimize outcomes and improve overall health of business operations
Design and build resilient business intelligence solutions using Redshift, Oracle, and NoSQL databases that maintain accuracy despite data quality variations across multiple platforms and systems
Develop sophisticated data models and ETL pipelines that process large-scale datasets to support rapid business growth and evolving organizational needs
Create optimized SQL queries and data transformation workflows that convert raw data into actionable dashboards tracking key performance indicators, budget metrics, and operational efficiency
Partner with operations teams, stakeholders, and product managers to gather requirements and present performance insights that improve business outcomes
Innovate new metrics and measurement frameworks that capture effectiveness of emerging initiatives and capabilities
Communicate complex analyses on business trends and operational dynamics to stakeholders through clear documentation and presentations
Collaborate across engineering, data science, and business teams to build centralized data tools

View full posting on CareerOneStop → ID: fa11d9a0d448

Business Intelligence Engineer, Amazon Shipping BI

Amazon · Bellevue, WA

Mid-level

2026-05-16

WA 2026-05-16

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Data Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility. Data Analysis: Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions. Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format. Stakeholder Collaboration: Work closely with stakeholders to understand their data needs, provide data-driven recommendations, and support strategic planning. Tool and Technology Utilization: Utilize and stay updated with the latest BI tools and technologies to enhance data analysis and reporting capabilities.

View full posting on CareerOneStop → ID: b34ea1671658

Business Intelligence Engineer-II, UTR BI Team

Amazon · Bellevue, WA

Mid-level Associate's

2026-05-16

WA 2026-05-16

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Expertise in SQL for data modeling, and architecture design. Industry experience of 7+ is required.
Proficiency in Python for data wrangling, EDA, and model evaluation. Industry experience of 5+ years is preferred.
Industry experience in building and evaluating regression, forecasting, and classification models is highly preferred.
Perform advanced statistical analysis to uncover trends, patterns, and actionable insights from large datasets. Knowledge of clustering techniques is preferred.
Create compelling data visualizations and dashboards to communicate insights effectively. Knowledge of AWS products such as Redshift, QuickSight, or similar experience with other cloud tech stack.
Collaborate with product, engineering, and business teams to translate ambiguous problems into tech requirements and build data-driven solutions.
Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.

View full posting on CareerOneStop → ID: d8580bb7471b

Senior Product Manager - Technical, Quick Sight - Structured Data Analytics

Amazon · Seattle, WA

Manager Bachelor's

2026-05-16

WA 2026-05-16

Requirements

Bachelor's degree
Experience owning/driving roadmap strategy and definition
Experience with feature delivery and tradeoffs of a product
Experience contributing to engineering discussions around technology decisions and strategy related to a product
Experience managing technical products or online services
Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Preferred

Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
Experience in building and driving adoption of new tools

Responsibilities

Drive product delivery in deep partnership with engineering, applied science, and design. Drive product specifications, make crisp tradeoff decisions, and ensure high bar on the quality and user experience
Be hands-on with the technology. Whether that means understanding how a semantic model resolves a natural language query, how an embedded analytics SDK integrates into a partner's React app, or how a pricing SKU flows through AWS billing - you operate at the level of detail where real product decisions are made.
Own the customer journey from first contact through enterprise-wide adoption for critical engagement. Partner with GTM and Sales teams to design onboarding pathways, migration playbooks, and growth motions that reduce friction, accelerate time-to-value, and turn successful deployments into organization-wide productivity gains.
Engage directly with enterprise customers, ISV partners, and AWS field teams. Turn what you hear into product conviction - not just feature requests, but insight into where the market is moving and what customers will need before they know to ask for it.
Directly contribute to business outcomes - adoption, revenue, competitive win rates, customer retention. Use data relentlessly to prioritize, to make the case for investment, and to communicate progress to senior leadership.

View full posting on CareerOneStop → ID: 9d8d4612075c

Data Analyst, Data & Analytics - Med USMPD

Cardinal Health · Olympia, WA

Mid-level Master's

2026-05-16

WA 2026-05-16

Requirements

Bachelors' Degree in related field, or equivalent work experience
5+ years of experience in Data Analytics field preferred
Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
Experience with relational databases (Oracle, SQL Server preferred)
Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
Ability to identify and troubleshoot critical issues
Strong presentation skills preferred
Develops clear and well-structured analytical plans and analyzes large datasets
Helps business by interpreting data to assess and compare performance
Experience with business-critical applications
Experience translating vague requests into concrete deliverables
Experience with migrating legacy systems to modern cloud-based analytical solutions
Ability to adapt to fast changing environments
Experience with complex data environments and leveraging disparate data sources, including 3rd party data

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

AWS/Google Cloud platform experience
Agile implementation experience
Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
Experience working with SAP systems
Experience with Python and/or R
Understanding of Project management lifecycle
*What is expected of you and others at this level
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
May contribute to the development of policies and procedures
Works on complex projects of large scope
Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
Completes work independently receives general guidance on new projects
Work reviewed for purpose of meeting objectives
May act as a mentor to less experienced colleagues

View full posting on CareerOneStop → ID: 58e02476252e

Manager, Business Intelligence

Humana · Olympia, WA

Manager Bachelor's

2026-05-16

WA 2026-05-16

Requirements

Minimum 5 years of technical experience in data analysis
Minimum 3 years of experience in SQL development
Advanced experience working with big and complex data sets within large organizations
Hands-on experience working with Databricks
Healthcare knowledge within the Medicare/Medicaid space
Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
Proficiency in understanding Healthcare related data
Proficiency in verbal/written communication to senior and executive leadership
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Must be able to accommodate business hours according to Eastern Standard Time
Experience in building and maintaining visualization suites that support a wide array of business customers
Demonstrated experience in developing and mentoring junior staff members
Maintain availability outside standard business hours based on business need

Preferred

Bachelor's Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field
Minimum 2 years of leadership experience (team(s) up to 10 people) managing direct reports
Experience analyzing Medicare Enrollment and Membership data including 834 file processing
Experience with tools such as Power BI for creating data visualizations
Expertise in data mining, forecasting, simulation, and/or predictive modeling
Experience creating analytics solutions for various healthcare sectors
Experience in cloud computing (Azure preferred)
Experience managing workloads via Azure DevOps
Professional experience with Azure DevOps, GIT, NuGet, CI/CD processes and Agile methodologies
Hands on experience working with agile/scrum methodologies including user story grooming, sprint planning etc. to deliver high quality software solutions improving team velocity and speed to market
Experience with Data Warehousing (Azure/SQL/Synapse) and ETL (Azure Data Factory/SSIS)
*Additional Information

View full posting on CareerOneStop → ID: 9f5132710d77

Data Analyst, Data & Analytics - Med USMPD

Cardinal Health · Helena, MT

Mid-level

2026-05-16

MT 2026-05-16

View full posting on CareerOneStop → ID: 890bb10ef538

Business Intelligence Developer

Jacksons · Meridian, ID

Mid-level Bachelor's

2026-05-15

ID 2026-05-15

The Business Intelligence Developer will design, develop, maintain, and support complex business intelligence applications and solutions. Take the step and apply today. Come on let's GO! Some of what you will do as a Business Intelligence Developer: - Analyze business intelligence needs and r

View full posting on CareerOneStop → ID: 6bb782ddadd5

Master Data Analyst

WM · Boise, ID

Mid-level

2026-05-15

ID 2026-05-15

View full posting on CareerOneStop → ID: dc3fc8a525fc

Senior Specialist, Data Analytics

Cardinal Health · Boise, ID

Senior Bachelor's

2026-05-15

ID 2026-05-15

Requirements

Bachelors Degree in related field or equivalent work experience
2+ years experience in related field preferred
Proficiency in Microsoft Office products preferred
Experience with innovative analytical insights
Business Requirements documentation experience preferred
Strong understanding of Agile development methodologies preferred.
Excellent written and verbal communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders preferred.

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

Hands-on experience with Python scripting for data engineering and automation preferred.
Experience with enterprise scheduling tools such as Airflow, UC4, AutoSys, or Control-M preferred.
Experience with AI/ML-driven data platforms, including feature engineering and data pipelines supporting analytics or machine learning workloads preferred.
Experience with Large Language Models (LLMs) and Generative AI (GenAI), use cases, or integrations (e.g., leveraging data platforms for AI-driven insights or automation) preferred.
Experience with enterprise data platforms such as GCP BigQuery, Databricks preferred.
Expertise in database design, data modeling, and performance optimization preferred.
Expert-level experience developing database objects including SQL, stored procedures, views, partitioning, indexing, and query optimization preferred.
Experience building semantic layers for analytics consumption using tools such as AtScale and/or LookML preferred.
Experience working on large-scale, business-critical data platforms preferred.
Experience leading or mentoring small development teams preferred.
Hands-on experience with DevSecOps and CI/CD practices, including tools such as GitHub, Airflow, and pipeline automation preferred.

View full posting on CareerOneStop → ID: 8e6b391a8967

Master Data Analyst

WM · Salem, OR

Mid-level

2026-05-15

OR 2026-05-15

View full posting on CareerOneStop → ID: 1acdefd04ff4

Senior Specialist, Data Analytics

Cardinal Health · Salem, OR

Senior Bachelor's

2026-05-15

OR 2026-05-15

Requirements

Bachelors Degree in related field or equivalent work experience
2+ years experience in related field preferred
Proficiency in Microsoft Office products preferred
Experience with innovative analytical insights
Business Requirements documentation experience preferred
Strong understanding of Agile development methodologies preferred.
Excellent written and verbal communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders preferred.

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

Hands-on experience with Python scripting for data engineering and automation preferred.
Experience with enterprise scheduling tools such as Airflow, UC4, AutoSys, or Control-M preferred.
Experience with AI/ML-driven data platforms, including feature engineering and data pipelines supporting analytics or machine learning workloads preferred.
Experience with Large Language Models (LLMs) and Generative AI (GenAI), use cases, or integrations (e.g., leveraging data platforms for AI-driven insights or automation) preferred.
Experience with enterprise data platforms such as GCP BigQuery, Databricks preferred.
Expertise in database design, data modeling, and performance optimization preferred.
Expert-level experience developing database objects including SQL, stored procedures, views, partitioning, indexing, and query optimization preferred.
Experience building semantic layers for analytics consumption using tools such as AtScale and/or LookML preferred.
Experience working on large-scale, business-critical data platforms preferred.
Experience leading or mentoring small development teams preferred.
Hands-on experience with DevSecOps and CI/CD practices, including tools such as GitHub, Airflow, and pipeline automation preferred.

View full posting on CareerOneStop → ID: 6d300f5c66ff

Director of the Data Analytics Program & Instructor

Oregon State University · Corvallis, OR

Director Doctorate

2026-05-15

OR 2026-05-15

Requirements

Doctoral degree in statistics, biostatistics, or a related discipline.
Prior teaching experiences in Statistics or closely related field.
Strong oral and written communication skills including ability to communicate to diverse and disparate audiences.
Demonstrated commitment to promoting and enhancing inclusive excellence through inclusive teaching practices, curriculum design, and equitable learning environments.
This position is designated as a critical or security-sensitive position; therefore, the incumbent must successfully complete a criminal history check and be determined to be position qualified as per University Standard: 05-010 et seq. Incumbents are required to self-report convictions and those in youth programs may have additional criminal history checks every 24 months.
What We Would Like You to Have
Experience developing online, asynchronous courses.
Experience in mentoring students/or junior member in academic or professional settings.
Experience in working with real-world data problems, including applied or industry-relevant projects.
Demonstrated potential to establish and sustain partnership with industry and external stakeholders.

Responsibilities

Position Information
Department Statistics (Science) (SST)
Position Title Coordinator-Academic Program
Job Title Director of the Data Analytics Program & Instructo
Appointment Type Professional Faculty
The Department of Statistics at Oregon State University invites applications for a Director of the Data Analytics Program & Instructor. The incumbent will hold two appointments, a 0.30 FTE , 9-month professional faculty position as Director of the Data Analytics Program, and a 0.20 FTE , 9-month, Instructor position; reflecting duties in both academic and administrative areas.
Appointment at the Instructor rank is anticipated; however, appointment at a promoted rank may be considered depending upon the qualifications of the successful candidate.
This is a half time, 9-month Director of Data analytics (DA) program position in the Department of Statistics. This position teaches undergraduate and graduate statistics and data science courses. This position provides academic and administrative leadership for the DA graduate program. The Director oversees curriculum development and delivery, ensures academic quality and relevance, supports student success, and coordinates program operations in collaboration with faculty, staff, and administration. The role includes guiding strategic growth of the program, fostering connections with industry and external partners, and promoting experiential and data-driven learning opportunities. The Director typically teaches in the program and serves as the primary advocate for the MS in Data Analytics within and beyond the institution.
The position is expected to maintain a high standard of collegiality, professional integrity, and willingness to accept and cooperate in assignments. All faculty are also expected to be collegial and active members of their units and to perform appropriate service that contributes to the effectiveness of their departments, colleges, the university, and of their professions.
The mission of the Department of Statistics is to contribute to the overall objectives of Oregon State University and the Colleges of Science and Agriculture through excellence in research and education in the statistical sciences and through service to the university community, statistical profession, and society at large.
The College of Science provides a core instructional role at OSU , supporting the ideals of learning, discovery, and engagement that are the foundation of a land-grant university. The College embraces instruction and research, in disciplines ranging from the physical to the biological sciences that are based in unbiased inquiry and a dedication to discovery and innovation. The College of Science is committed to partnering with industry and public agencies to address some of the most compelling challenges of today and tomorrow.
OSU has an institution-wide commitment to diversity, multiculturalism, and community. We actively engage in recruiting and retaining a diverse workforce and student body that includes members of historically underrepresented groups. We strive to build and sustain a welcoming and supportive campus environment. OSU provides leadership opportunities for people interested in promoting and enhancing diversity, nurturing creativity and building community. All employees are responsible for helping to maintain and enhance OSU's collaborative and inclusive community that strives for equity and equal opportunity.
Working for Oregon State University is so much more than a job!
Oregon State University is a dynamic community of dreamers, doers, problem-solvers and change-makers. We don't wait for challenges to present themselves - we seek them out and take them on. We welcome students, faculty and staff from every background and perspective into a community where everyone feels seen and heard. We have deep-rooted mindfulness for the natural world and all who depend on it, and together, we apply knowledge, tools and skills to build a better future for all.
Top 1.4% university in the world
More research funding than all public universities in Oregon combined
1 of 3 land, sea, space and sun grant universities in the U.S.
2 campuses, 11 colleges, 12 experiment stations, and Extension programs in all 36 counties
7cultural resource centers (https://hr.oregonstate.edu/work-life/diversity-and-cultural-resources) that offer education, celebration and belonging for everyone
100+ undergraduate degree programs, 80+ graduate degrees plus hundreds of minor options and certificates
35k+ students including more than 2.3k international students and 10k students of colo
217k+ alumni worldwide
For more interesting facts about OSU visit:https://oregonstate.edu/about
Oregon State has a statewide presence with campuses in Corvallis and Bend, the OSU Portland Center and the Hatfield Marine Science Center on the Pacific Coast in Newport.
Oregon State's beautiful, historic and state-of-the-art main campus is located in one of America's best college towns. Corvallis is located close to the Pacific Ocean, the Cascade mountains and Oregon wine country. Nestled in the heart of the Willamette Valley, this beautiful city offers miles of mountain biking and hiking trails, a river perfect for boating or kayaking and an eclectic downtown featuring local cuisine, popular events and performances.
60%Data Analytics (DA) Graduate Program Leadership
https://jobs.oregonstate.edu/position\_descriptions/179999
https://jobs.oregonstate.edu/position\_descriptions/179994
Posting Detail Information
Posting Number P09914UF
Number of Vacancies 1
Anticipated Appointment Begin Date 09/16/2026
Anticipated Appointment End Date
Posting Date 05/13/2026
Full Consideration Date 07/15/2026
Closing Date 07/30/2026
Indicate how you intend to recruit for this search Competitive / External - open to ALL qualified applicants
Special Instructions to Applicants
To ensure full consideration, applications must be received by July 15, 2026.Applications will continue to be accepted after the full consideration date, until a sufficient applicant pool has been achieved or the position is filled. The closing date is subject to change without notice to applicants.
When applying you will be required to attach the following electronic documents:
A cover letter indicating how your qualifications and experience have prepared you for this position; and
Personal Statement, uploaded as Other Document 1 (not to exceed one page), in which you:
Reflect on any aspect of your identity, values and experiences that contributed to your professional path up to this point; and
How you will contribute to promoting inclusive advising practices at our institution.
Letters of Reference will be requested on finalists only. When applying, you will be asked to provide the email address and telephone number for 3 referees who will be sent a secure quicklink that will allow them to upload the requested letters of reference on your behalf.
For additional information please contact:
xuel@oregonstate.edu

View full posting on CareerOneStop → ID: fd37ef27a6d1

Sr Business Intelligence Engineer, FBA Analytics

Amazon · Bellevue, WA

Senior

2026-05-15

WA 2026-05-15

Requirements

10+ years of professional or military experience
5+ years of SQL experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership

Responsibilities

Deep dive into data to uncover actionable insights.
Create robust reporting to increase visibility into the metrics and data.
Partner with key stakeholders to enable data driven decision making.
Partner with data engineers to build data pipeline and standardize data transformation logic.
Design and implement scalable self-service dashboards to enable business users get answer frequently asked business questions in self service fashion.
Apply statistical techniques to infer impact of product and policy decisions on business outcomes.

View full posting on CareerOneStop → ID: 2f552e354eaf

Sr. Business Intelligence Engineer, B2C, Amazon Leo

Amazon · Bellevue, WA

Senior

2026-05-15

WA 2026-05-15

Requirements

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
10+ years of professional or military experience
5+ years of SQL experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership

Responsibilities

Architect, build, and maintain foundational business datasets across our tech stack and other internal systems to support analytics, reporting, and customer growth use cases.
Develop SQL-based transformations, data models, and ETL/ELT workflows to structure and unify marketing and customer data for customer lifecycle use cases.
Design, optimize, and manage Amazon QuickSight dashboards that provide visibility into acquisition performance, attribution, and lifecycle funnels.
Conduct deep-dive analysis to identify funnel drop-offs, diagnose performance issues, uncover customer insights, and evaluate marketing effectiveness.
Translate ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools.
Drive alignment on KPI definitions, measurement frameworks, taxonomy, and data governance across global marketing teams.
Collaborate closely with Product, Sales Ops, Data Science, and cross-functional partners to support experimentation, segmentation, forecasting, and predictive insights.
Communicate effectively with senior management audiences (e.g. narratives, inputs into weekly/monthly/quarterly business reviews).* Drive best practices in operational excellence, data modeling, and analysis. Ensure that BI solutions are correctly and efficiently supporting the business.* Participate in hiring activities and mentor junior team members
You will spend part of your day improving the business health data architecture-designing better datasets, cleaning pipelines, and enabling new use cases in the CDP and other internal spaces. Another part of your day will involve partnering with Data Engineering to review instrumentation or troubleshoot data issues. You will also work directly with Marketing and Product teams to conduct deep dives, and design new measurement approaches. You will be a strategic and technical owner ensuring that Amazon Leo Marketing can make accurate, timely, data-driven decisions.

View full posting on CareerOneStop → ID: 07a47e1b5254

Senior Specialist, Data Analytics

Cardinal Health · Olympia, WA

Senior Bachelor's

2026-05-15

WA 2026-05-15

Requirements

Bachelors Degree in related field or equivalent work experience
2+ years experience in related field preferred
Proficiency in Microsoft Office products preferred
Experience with innovative analytical insights
Business Requirements documentation experience preferred
Strong understanding of Agile development methodologies preferred.
Excellent written and verbal communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders preferred.

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

Hands-on experience with Python scripting for data engineering and automation preferred.
Experience with enterprise scheduling tools such as Airflow, UC4, AutoSys, or Control-M preferred.
Experience with AI/ML-driven data platforms, including feature engineering and data pipelines supporting analytics or machine learning workloads preferred.
Experience with Large Language Models (LLMs) and Generative AI (GenAI), use cases, or integrations (e.g., leveraging data platforms for AI-driven insights or automation) preferred.
Experience with enterprise data platforms such as GCP BigQuery, Databricks preferred.
Expertise in database design, data modeling, and performance optimization preferred.
Expert-level experience developing database objects including SQL, stored procedures, views, partitioning, indexing, and query optimization preferred.
Experience building semantic layers for analytics consumption using tools such as AtScale and/or LookML preferred.
Experience working on large-scale, business-critical data platforms preferred.
Experience leading or mentoring small development teams preferred.
Hands-on experience with DevSecOps and CI/CD practices, including tools such as GitHub, Airflow, and pipeline automation preferred.

View full posting on CareerOneStop → ID: 8750d5bfe847

Senior Specialist, Data Analytics

Cardinal Health · Helena, MT

Senior

2026-05-15

MT 2026-05-15

View full posting on CareerOneStop → ID: fb9d828edb13

Master Data Analyst

WM · Olympia, WA

Mid-level

2026-05-15

WA 2026-05-15

View full posting on CareerOneStop → ID: 99c02d788716

Data Analyst

Cardinal Health · Boise, ID

Mid-level Bachelor's

2026-05-14

ID 2026-05-14

Preferred

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

View full posting on CareerOneStop → ID: 2d49076d8c08

Program Controls Data Analysis, Reporting & AI Analyst

Oracle · Boise, ID

Mid-level Associate's

2026-05-14

ID 2026-05-14

Requirements

-5-8 years of experience in data analysis, business analytics, reporting, data governance, operations analytics, or a related analytical role.
-Strong analytical and problem-solving skills, with the ability to work through ambiguity and turn complex data into practical business insights.
-Advanced Microsoft Excel skills, including experience with complex formulas, pivot tables, structured workbooks, data validation, lookups, Power Query, and large datasets.
-Working knowledge of database principles, including relational data structures, joins, keys, data quality, and data integrity concepts.
-Coding or scripting experience, such as SQL, Python, VBA, R, or similar tools used for data extraction, transformation, automation, or analysis.
-Experience building recurring reports, dashboards, scorecards, or operational analytics products.
-Ability to communicate clearly with both technical and non-technical stakeholders.
-Strong organizational skills and the ability to manage multiple priorities in a fast-paced and sometimes chaotic environment.
-Demonstrated ability to take initiative, work independently, and follow through on deliverables with minimal supervision.
-Willingness and ability to work extended hours when business-critical deadlines require it.

Preferred

-Experience supporting infrastructure, construction, supply chain, operations, cloud, or large-scale program delivery environments.
-Exposure to data center infrastructure build programs, capacity planning, infrastructure deployment, or related operational reporting.
-Experience with AI, machine learning, or automation use cases in reporting, analytics, or business operations.
-Familiarity with BI and visualization tools such as Power BI, Tableau, Oracle Analytics, Looker, or similar platforms.
-Experience designing or improving data governance processes, reporting standards, data dictionaries, or quality control checks.
-Ability to work with messy, incomplete, or rapidly changing datasets and create reliable reporting structures from them.
-Experience preparing executive-level reporting materials or leadership-facing summaries.
*Key Competencies
-Proactive ownership and follow-through
-Strong analytical judgment
-Comfort with ambiguity and rapid change
-High attention to detail
-Advanced Excel and data handling capability
-Practical coding and automation mindset
-Strong stakeholder communication
-Ability to operate under pressure
-Curiosity about AI-enabled analytics and reporting
-Commitment to data quality and governance
*Working Environment
This role supports a fast-paced infrastructure build environment where priorities may change quickly, data may be incomplete, and deadlines may be aggressive. The successful candidate will be comfortable working in a high-urgency setting, managing multiple concurrent requests, and occasionally working long hours to support critical reporting cycles, leadership requests, or business milestones.

Responsibilities

We are seeking a highly proactive and detail-oriented Data Analysis, Reporting & AI Analyst to support analytics and reporting efforts related to data center infrastructure build programs . This role will sit within the Data Governance, Analytics & Reporting organization and will focus on transforming complex data into actionable insights, improving reporting quality, supporting data-driven decision-making, and helping identify opportunities to apply AI and automation across reporting workflows.
The ideal candidate has strong data analytics capabilities, practical coding knowledge, advanced Excel skills, and a solid understanding of database principles. This person should be comfortable operating in a fast-paced, ambiguous, and rapidly changing environment, where priorities may shift quickly and long hours may occasionally be required to support critical business needs.
This is an individual contributor role requiring strong ownership, independence, analytical judgment, and the ability to partner effectively with cross-functional teams.
-Develop, maintain, and improve reporting, dashboards, trackers, and analytical outputs supporting data center infrastructure build activities.
-Analyze large and complex datasets to identify trends, risks, inconsistencies, gaps, and opportunities for process improvement.
-Partner with stakeholders across data governance, analytics, infrastructure delivery, planning, finance, operations, and related teams to understand reporting needs and translate them into clear data outputs.
-Build and manage advanced Excel-based models, trackers, and reporting files, including complex formulas, pivot tables, Power Query, macros, and structured data validation where applicable.
-Use coding and scripting skills to automate repetitive reporting tasks, improve data quality checks, and streamline manual workflows.
-Support the development of AI-enabled reporting and analytics capabilities, including identifying use cases for automation, summarization, anomaly detection, forecasting, and decision support.
-Apply sound database principles when working with structured data, including table relationships, data integrity, normalization concepts, query logic, and documentation of data sources.
-Assist with data governance activities, including defining data standards, validating data quality, documenting assumptions, and improving consistency across reports.
-Create clear, executive-ready summaries, insights, and visualizations that help stakeholders understand progress, risks, and performance.
-Operate independently in a high-pressure, fast-moving environment with shifting priorities, incomplete information, and tight deadlines.
-Proactively identify reporting issues, process inefficiencies, and data gaps, and drive practical solutions without waiting for detailed direction.
-Maintain strong attention to detail while balancing speed, urgency, and changing business needs.

View full posting on CareerOneStop → ID: a33b06918894

Data Analyst

Cardinal Health · Salem, OR

Mid-level Bachelor's

2026-05-14

OR 2026-05-14

Preferred

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

View full posting on CareerOneStop → ID: e6426f68d890

Program Controls Data Analysis, Reporting & AI Analyst

Oracle · Salem, OR

Mid-level Associate's

2026-05-14

OR 2026-05-14

Requirements

-5-8 years of experience in data analysis, business analytics, reporting, data governance, operations analytics, or a related analytical role.
-Strong analytical and problem-solving skills, with the ability to work through ambiguity and turn complex data into practical business insights.
-Advanced Microsoft Excel skills, including experience with complex formulas, pivot tables, structured workbooks, data validation, lookups, Power Query, and large datasets.
-Working knowledge of database principles, including relational data structures, joins, keys, data quality, and data integrity concepts.
-Coding or scripting experience, such as SQL, Python, VBA, R, or similar tools used for data extraction, transformation, automation, or analysis.
-Experience building recurring reports, dashboards, scorecards, or operational analytics products.
-Ability to communicate clearly with both technical and non-technical stakeholders.
-Strong organizational skills and the ability to manage multiple priorities in a fast-paced and sometimes chaotic environment.
-Demonstrated ability to take initiative, work independently, and follow through on deliverables with minimal supervision.
-Willingness and ability to work extended hours when business-critical deadlines require it.

Preferred

-Experience supporting infrastructure, construction, supply chain, operations, cloud, or large-scale program delivery environments.
-Exposure to data center infrastructure build programs, capacity planning, infrastructure deployment, or related operational reporting.
-Experience with AI, machine learning, or automation use cases in reporting, analytics, or business operations.
-Familiarity with BI and visualization tools such as Power BI, Tableau, Oracle Analytics, Looker, or similar platforms.
-Experience designing or improving data governance processes, reporting standards, data dictionaries, or quality control checks.
-Ability to work with messy, incomplete, or rapidly changing datasets and create reliable reporting structures from them.
-Experience preparing executive-level reporting materials or leadership-facing summaries.
*Key Competencies
-Proactive ownership and follow-through
-Strong analytical judgment
-Comfort with ambiguity and rapid change
-High attention to detail
-Advanced Excel and data handling capability
-Practical coding and automation mindset
-Strong stakeholder communication
-Ability to operate under pressure
-Curiosity about AI-enabled analytics and reporting
-Commitment to data quality and governance
*Working Environment
This role supports a fast-paced infrastructure build environment where priorities may change quickly, data may be incomplete, and deadlines may be aggressive. The successful candidate will be comfortable working in a high-urgency setting, managing multiple concurrent requests, and occasionally working long hours to support critical reporting cycles, leadership requests, or business milestones.

Responsibilities

We are seeking a highly proactive and detail-oriented Data Analysis, Reporting & AI Analyst to support analytics and reporting efforts related to data center infrastructure build programs . This role will sit within the Data Governance, Analytics & Reporting organization and will focus on transforming complex data into actionable insights, improving reporting quality, supporting data-driven decision-making, and helping identify opportunities to apply AI and automation across reporting workflows.
The ideal candidate has strong data analytics capabilities, practical coding knowledge, advanced Excel skills, and a solid understanding of database principles. This person should be comfortable operating in a fast-paced, ambiguous, and rapidly changing environment, where priorities may shift quickly and long hours may occasionally be required to support critical business needs.
This is an individual contributor role requiring strong ownership, independence, analytical judgment, and the ability to partner effectively with cross-functional teams.
-Develop, maintain, and improve reporting, dashboards, trackers, and analytical outputs supporting data center infrastructure build activities.
-Analyze large and complex datasets to identify trends, risks, inconsistencies, gaps, and opportunities for process improvement.
-Partner with stakeholders across data governance, analytics, infrastructure delivery, planning, finance, operations, and related teams to understand reporting needs and translate them into clear data outputs.
-Build and manage advanced Excel-based models, trackers, and reporting files, including complex formulas, pivot tables, Power Query, macros, and structured data validation where applicable.
-Use coding and scripting skills to automate repetitive reporting tasks, improve data quality checks, and streamline manual workflows.
-Support the development of AI-enabled reporting and analytics capabilities, including identifying use cases for automation, summarization, anomaly detection, forecasting, and decision support.
-Apply sound database principles when working with structured data, including table relationships, data integrity, normalization concepts, query logic, and documentation of data sources.
-Assist with data governance activities, including defining data standards, validating data quality, documenting assumptions, and improving consistency across reports.
-Create clear, executive-ready summaries, insights, and visualizations that help stakeholders understand progress, risks, and performance.
-Operate independently in a high-pressure, fast-moving environment with shifting priorities, incomplete information, and tight deadlines.
-Proactively identify reporting issues, process inefficiencies, and data gaps, and drive practical solutions without waiting for detailed direction.
-Maintain strong attention to detail while balancing speed, urgency, and changing business needs.

View full posting on CareerOneStop → ID: d130f9504a6c

Business Intelligence Developer

University of Washington · Seattle, WA

Mid-level Bachelor's

2026-05-14

WA 2026-05-14

Requirements

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department.
Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, or related field.
Three or more years of experience developing and implementing reporting solutions.

Preferred

Strong proficiency in SQL (T-SQL preferred).
Experience working with SQL Server and related tools, including SSRS.
Hands-on experience with data visualization tools like Tableau and Power BI.
Advanced Excel skills (pivot tables, complex formulas, macros).
Understanding of ETL concepts and data modeling principles.
Strong analytical and troubleshooting skills.
Experience working with stakeholders to gather requirements and deliver technical solutions.
Ability to work independently and collaboratively.
Commitment to supporting diverse perspectives and working in an inclusive environment.
Experience using Python for automation or ETL processes.
Familiarity with JSON, APIs, and integrating external data sources.
Experience working with virtualized or cloud infrastructure (Azure, AWS, or similar).
Experience working in higher education or large, complex organizations.
Familiarity with IT frameworks such as SDLC, ITSM, or ITIL.
Experience using Git for version control.

Responsibilities

*The UW Facilities Business Innovation & Technology team has an outstanding opportunity for a Business Intelligence Developer to join their team.
*Standardized Reporting and Analytics (50%)
Design, develop, and optimize complex SQL queries (including CTEs and subqueries) to support reporting and analysis.
Analyze business and operational data to identify trends, performance issues, and actionable insights.
Build and maintain reports and dashboards across tools (Tableau, Power BI, SSRS, Excel), selecting the appropriate platform for each use case.
Ensure reliability of reporting outputs by managing documentation/catalogs, validating data quality, and troubleshooting or enhancing existing reports.
*Data Maintenance and Modeling (30%)
Develop a deep understanding of existing data structures, governance policies, and architectural standards.
Design and refine data models to support new reporting needs, combining existing enterprise models with purpose-built solutions.
Contribute to ETL pipeline development (SQL/Python), improving automation, scalability, and reliability of data workflows.
Ensure data integrity through quality monitoring, audits, and clear documentation of ETL processes, data models, and BI assets.
*Analytics and Stakeholder Engagement (20%)
Own KPI reporting and dashboard development, delivering clear, actionable views of operational and business performance.
Translate business requirements into technical specifications, analytical frameworks, and scalable reporting solutions.

View full posting on CareerOneStop → ID: cb5c38f70370

Data Analyst 3 (Finance/Accounting/SAP-FICO)

ManpowerGroup · Redmond, WA

Mid-level Bachelor's

2026-05-14

WA 2026-05-14

NO C2C Our client, a leading organization in the corporate accounting sector, is seeking a Data Analyst 3 to join their team. As a Data Analyst 3, you will be part of the Corporate Accounting department supporting the general ledger close and consolidation processes. The ideal candidate will h

View full posting on CareerOneStop → ID: 9a8ec5cc9085

Senior Data Analyst - Performance Marketing

Last Brand, Inc. · Seattle, WA

Senior Master's

2026-05-14

WA 2026-05-14

Responsibilities

[Analyze large-scale marketing datasets from multiple channels (e.g., paid search, social, display, email, affiliate) using statistical and computational techniques to evaluate performance, identify key trends, and optimize return on investment (ROI).]{segoe="" ui",="" tahoma,="" sans-serif"=""}
[Develop and maintain predictive and econometric models, including marketing mix models and attribution frameworks, to quantify the incremental impact of each marketing channel on conversions, revenue, and customer acquisition.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
[Design and execute controlled experiments (A/B and multivariate tests) to assess the effectiveness of ad creatives, audience targeting, and bidding strategies, applying rigorous statistical validation methods.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
[Create and automate data pipelines and dashboards to provide real-time insights into marketing performance and customer behavior for cross-functional stakeholders.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
[Apply machine learning algorithms and forecasting techniques to predict customer lifetime value (LTV), conversion probability, and channel performance trends.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
[Collaborate with cross-functional teams (marketing, data engineering, finance, and product) to integrate data sources, ensure data quality, and align analytical insights with business objectives.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
[Communicate findings and recommendations through clear data visualizations, reports, and presentations to both technical and non-technical audiences.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
[Continuously evaluate and refine analytical methodologies to improve modeling accuracy, scalability, and business impact.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
*Job Requirement: Master's degree in a quantitative field (e.g. Statistics, Analytics, Mathematics, Economics, Data Science, or similar). At least 2 years in a data analytics role, with a focus on performance or digital marketing. proficiency in SQL and data visualization tools, and knowledge of statistical analysis and A/B testing.

View full posting on CareerOneStop → ID: 89ed19604284

Sr Business Intelligence Engineer , Rapid and Rural Logistics

Amazon · Bellevue, WA

Senior

2026-05-14

WA 2026-05-14

Requirements

10+ years of professional or military experience
5+ years of SQL experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership

Responsibilities

Define and own the KPI frameworks and metrics that measure Amazon Now's operational health across Finance, Supply Chain, Delivery, and UTR operations
Design, build, and maintain scalable data pipelines (ETL/ELT) that power operational reporting across all four pillars
Develop executive-facing dashboards and automated reports (daily, weekly, monthly business reviews) that drive operational decision-making
Conduct deep-dive analyses to identify cost reduction opportunities, operational bottlenecks, capacity constraints, and process improvements
Build self-serve analytics capabilities so operational stakeholders can answer their own questions at scale
Partner with Finance, Operations, Supply Chain, and Delivery leadership to translate business questions into analytical solutions
Communicate findings and recommendations to senior leadership through clear data storytelling and written narratives

View full posting on CareerOneStop → ID: 9fc5727a89fd

Sr Business Intelligence Engineer, AWS Marketplace & Partner Services

Amazon · Seattle, WA

Senior

2026-05-14

WA 2026-05-14

Requirements

10+ years of professional or military experience
5+ years of SQL experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Experience with theory and practice of information retrieval, data science, machine learning and data mining
1+ years of developing automated reporting experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results

Responsibilities

In this role you sit at the intersection of question and answer - architecting the intelligent systems that transform raw data into on-demand, business-ready insight. This role designs and deploys agentic data experiences, semantic models, and automated frameworks that allow AWS Marketplace & Partner Services stakeholders to securely inspect data conversationally, at scale, and with trust. Rather than producing static reports, the BIE encodes deep subject matter expertise - metric definitions, cross-domain context, and business logic - directly into AI-consumable systems that reason, validate, and deliver answers.

View full posting on CareerOneStop → ID: ec390a4acfa7

Data Analyst

Cardinal Health · Olympia, WA

Mid-level Bachelor's

2026-05-14

WA 2026-05-14

Preferred

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

View full posting on CareerOneStop → ID: b7cdb5c09103

Program Controls Data Analysis, Reporting & AI Analyst

Oracle · Olympia, WA

Mid-level Associate's

2026-05-14

WA 2026-05-14

Requirements

-5-8 years of experience in data analysis, business analytics, reporting, data governance, operations analytics, or a related analytical role.
-Strong analytical and problem-solving skills, with the ability to work through ambiguity and turn complex data into practical business insights.
-Advanced Microsoft Excel skills, including experience with complex formulas, pivot tables, structured workbooks, data validation, lookups, Power Query, and large datasets.
-Working knowledge of database principles, including relational data structures, joins, keys, data quality, and data integrity concepts.
-Coding or scripting experience, such as SQL, Python, VBA, R, or similar tools used for data extraction, transformation, automation, or analysis.
-Experience building recurring reports, dashboards, scorecards, or operational analytics products.
-Ability to communicate clearly with both technical and non-technical stakeholders.
-Strong organizational skills and the ability to manage multiple priorities in a fast-paced and sometimes chaotic environment.
-Demonstrated ability to take initiative, work independently, and follow through on deliverables with minimal supervision.
-Willingness and ability to work extended hours when business-critical deadlines require it.

Preferred

-Experience supporting infrastructure, construction, supply chain, operations, cloud, or large-scale program delivery environments.
-Exposure to data center infrastructure build programs, capacity planning, infrastructure deployment, or related operational reporting.
-Experience with AI, machine learning, or automation use cases in reporting, analytics, or business operations.
-Familiarity with BI and visualization tools such as Power BI, Tableau, Oracle Analytics, Looker, or similar platforms.
-Experience designing or improving data governance processes, reporting standards, data dictionaries, or quality control checks.
-Ability to work with messy, incomplete, or rapidly changing datasets and create reliable reporting structures from them.
-Experience preparing executive-level reporting materials or leadership-facing summaries.
*Key Competencies
-Proactive ownership and follow-through
-Strong analytical judgment
-Comfort with ambiguity and rapid change
-High attention to detail
-Advanced Excel and data handling capability
-Practical coding and automation mindset
-Strong stakeholder communication
-Ability to operate under pressure
-Curiosity about AI-enabled analytics and reporting
-Commitment to data quality and governance
*Working Environment
This role supports a fast-paced infrastructure build environment where priorities may change quickly, data may be incomplete, and deadlines may be aggressive. The successful candidate will be comfortable working in a high-urgency setting, managing multiple concurrent requests, and occasionally working long hours to support critical reporting cycles, leadership requests, or business milestones.

Responsibilities

We are seeking a highly proactive and detail-oriented Data Analysis, Reporting & AI Analyst to support analytics and reporting efforts related to data center infrastructure build programs . This role will sit within the Data Governance, Analytics & Reporting organization and will focus on transforming complex data into actionable insights, improving reporting quality, supporting data-driven decision-making, and helping identify opportunities to apply AI and automation across reporting workflows.
The ideal candidate has strong data analytics capabilities, practical coding knowledge, advanced Excel skills, and a solid understanding of database principles. This person should be comfortable operating in a fast-paced, ambiguous, and rapidly changing environment, where priorities may shift quickly and long hours may occasionally be required to support critical business needs.
This is an individual contributor role requiring strong ownership, independence, analytical judgment, and the ability to partner effectively with cross-functional teams.
-Develop, maintain, and improve reporting, dashboards, trackers, and analytical outputs supporting data center infrastructure build activities.
-Analyze large and complex datasets to identify trends, risks, inconsistencies, gaps, and opportunities for process improvement.
-Partner with stakeholders across data governance, analytics, infrastructure delivery, planning, finance, operations, and related teams to understand reporting needs and translate them into clear data outputs.
-Build and manage advanced Excel-based models, trackers, and reporting files, including complex formulas, pivot tables, Power Query, macros, and structured data validation where applicable.
-Use coding and scripting skills to automate repetitive reporting tasks, improve data quality checks, and streamline manual workflows.
-Support the development of AI-enabled reporting and analytics capabilities, including identifying use cases for automation, summarization, anomaly detection, forecasting, and decision support.
-Apply sound database principles when working with structured data, including table relationships, data integrity, normalization concepts, query logic, and documentation of data sources.
-Assist with data governance activities, including defining data standards, validating data quality, documenting assumptions, and improving consistency across reports.
-Create clear, executive-ready summaries, insights, and visualizations that help stakeholders understand progress, risks, and performance.
-Operate independently in a high-pressure, fast-moving environment with shifting priorities, incomplete information, and tight deadlines.
-Proactively identify reporting issues, process inefficiencies, and data gaps, and drive practical solutions without waiting for detailed direction.
-Maintain strong attention to detail while balancing speed, urgency, and changing business needs.

View full posting on CareerOneStop → ID: 3b808352eb51

Experienced Business Intelligence Analyst

The Boeing Company · Everett, WA

Senior

2026-05-14

WA 2026-05-14

View full posting on CareerOneStop → ID: 2adee6890e66

Data Analyst

Cardinal Health · Helena, MT

Mid-level

2026-05-14

MT 2026-05-14

View full posting on CareerOneStop → ID: ca955c770b71

Program Controls Data Analysis, Reporting & AI Analyst

Oracle · Helena, MT

Mid-level

2026-05-14

MT 2026-05-14

View full posting on CareerOneStop → ID: 734b8b0b1411

Data Analyst

Cayuse Holdings · Olympia, WA

Mid-level Bachelor's

2026-05-13

WA 2026-05-13

Requirements

Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, or another quantitative discipline, or equivalent relevant experience.
A minimum of 5 years of professional experience
At least 5 years of experience with data structures, foundational statistical concepts, and analytical methodologies
At least 5 years of experience developing and presenting data-driven findings and recommendations.
Public Trust Clearance is required.
Due to the nature of work, U.S. Citizenship is required.

Responsibilities

Meet with clients to understand their business needs, define research objectives, identify data sources, and develop analysis plans.
Apply critical thinking and creative problem-solving skills to proactively identify and develop solutions for clients' business challenges.
Conduct exploratory data analysis using large-scale client data sources, and develop briefings and reports to communicate key findings to colleagues and clients.
Collaborate with teams of data scientists to build pipelines for data engineering and machine learning.
Work with teams of software developers to build tools for data visualization and analysis.
Develop recommendations based on completed research and analysis and present these recommendations to clients.
Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with both technical and non-technical backgrounds.
Take ownership of tasks and produce high-quality work products with minimal supervision.
Other duties as assigned.

View full posting on CareerOneStop → ID: ce1429cb55ce

Data Analyst

Cayuse Holdings · Boise, ID

Mid-level

2026-05-13

ID 2026-05-13

View full posting on CareerOneStop → ID: 11115d1b13b4

Data Analyst

Cayuse Holdings · Salem, OR

Mid-level

2026-05-13

OR 2026-05-13

View full posting on CareerOneStop → ID: 201c6c974ab3

Page Wide Print Data Analyst

HP Inc. · Corvallis, OR

Mid-level

2026-05-13

OR 2026-05-13

View full posting on CareerOneStop → ID: d61c979ccd26

Data Analyst

Cayuse Holdings · Helena, MT

Mid-level

2026-05-13

MT 2026-05-13

View full posting on CareerOneStop → ID: 6e19ce5eb8aa

Data Analyst

Cayuse Holdings · Cheyenne, WY

Mid-level

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 8cf811acfcb0

Data Analyst

Cayuse Holdings · Salt Lake City, UT

Mid-level

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 92a0f7af2a28

Data Analyst

Cayuse Holdings · Pierre, SD

Mid-level

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 247c915dbcd4

Data Analyst

Cayuse Holdings · Bismarck, ND

Mid-level

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: cb988075195c

Data Analyst

Cayuse Holdings · Carson City, NV

Mid-level

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: cd43e10cb83e

Data Analyst

Cayuse Holdings · Sacramento, CA

Mid-level

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: d608e15dc963

Data Analyst

Cayuse Holdings · Denver, CO

Mid-level

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 8d48a64e8d4f

Data Analyst

ManpowerGroup · Los Angeles, CA

Mid-level

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 50b80185b9be

Data Analyst

The Walt Disney Company · Burbank, CA

Mid-level

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 8f1c3f950872

Senior Data Analyst

El Paso County · Colorado Springs, CO

Senior

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 3a96a77fc42b

Senior Data Analyst, People Analytics

Uber · San Francisco, CA

Senior

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 1d1b48a69618

Data Analyst

Cayuse Holdings · Phoenix, AZ

Mid-level

2026-05-13

AZ 2026-05-13

View full posting on CareerOneStop → ID: e14f3c5d3054

Data Analyst

Cayuse Holdings · Santa Fe, NM

Mid-level

2026-05-13

NM 2026-05-13

View full posting on CareerOneStop → ID: 97d87a02403d

Data Analyst

Cayuse Holdings · Lincoln, NE

Mid-level

2026-05-13

NE 2026-05-13

View full posting on CareerOneStop → ID: 20530704f379

Data Analyst

Cayuse Holdings · Topeka, KS

Mid-level

2026-05-13

KS 2026-05-13

View full posting on CareerOneStop → ID: f321b2ce36d5

Data Analyst

Cayuse Holdings · Oklahoma City, OK

Mid-level

2026-05-13

OK 2026-05-13

View full posting on CareerOneStop → ID: 2fce1ac5c9b3

Workforce Data Analyst

Love's Travel Stops & Country Stores · Oklahoma City, OK

Mid-level

2026-05-13

OK 2026-05-13

View full posting on CareerOneStop → ID: 4de41ff744da

Associate Analyst - Business Intelligence

Ally · Austin, TX

Entry-level

2026-05-13

TX 2026-05-13

View full posting on CareerOneStop → ID: 782df36409f3

Data Analyst

Cayuse Holdings · Austin, TX

Mid-level

2026-05-13

TX 2026-05-13

View full posting on CareerOneStop → ID: f0bf41a662da

Data Analyst

Robert Half · San Antonio, TX

Mid-level

2026-05-13

TX 2026-05-13

View full posting on CareerOneStop → ID: 6b595a825d90

Data Analytics Engineer, College of Natural Sciences

UNIVERSITY OF TEXAS AT AUSTIN · Austin, TX

Mid-level

2026-05-13

TX 2026-05-13

View full posting on CareerOneStop → ID: 181acc443a11

DPS - FIN - Senior Financial Data Analyst - 0654

TEXAS DEPARTMENT OF PUBLIC SAFETY DEPT 405 · Austin, TX

Senior

2026-05-13

TX 2026-05-13

View full posting on CareerOneStop → ID: d5b24d7d136c

Epic Business Intelligence Developer II

Texas Health Resources · Arlington, TX

Mid-level

2026-05-13

TX 2026-05-13

View full posting on CareerOneStop → ID: 74d0b253577a

Senior Data Analyst- Financial Services

Capital One · Plano, TX

Senior

2026-05-13

TX 2026-05-13

View full posting on CareerOneStop → ID: c8453009e8b5

THECB - Data Analyst V (Senior Analyst)

TEXAS HIGHER EDUCATION · Austin, TX

Senior

2026-05-13

TX 2026-05-13

View full posting on CareerOneStop → ID: af466bc0757c

Associate Consultant, Data Analytics & Reporting

Cargill · Wayzata, MN

Entry-level

2026-05-13

MN 2026-05-13

View full posting on CareerOneStop → ID: 6df1a705bcee

Business Intelligence & Systems Analyst

U.S. Bank · Minneapolis, MN

Mid-level

2026-05-13

MN 2026-05-13

View full posting on CareerOneStop → ID: 0274de81cdbb

Clinical Data Analyst

Minnesota Visiting Nurse Agency · Minneapolis, MN

Mid-level

2026-05-13

MN 2026-05-13

View full posting on CareerOneStop → ID: a208c419687c

Consultant, Data Analytics & Reporting

Cargill · Wayzata, MN

Mid-level

2026-05-13

MN 2026-05-13

View full posting on CareerOneStop → ID: 37e23ca3df09

Data Analyst

Cayuse Holdings · Saint Paul, MN

Mid-level

2026-05-13

MN 2026-05-13

View full posting on CareerOneStop → ID: 56b65fd8b7d0

Data Analyst

Cayuse Holdings · Des Moines, IA

Mid-level

2026-05-13

IA 2026-05-13

View full posting on CareerOneStop → ID: adafc89ef354

Data Analyst

Iowa Department of Administrative Services · Des Moines, IA

Mid-level

2026-05-13

IA 2026-05-13

View full posting on CareerOneStop → ID: a6c34a44a498

Part-Time Student - Technical Data Analytics - Ames, IA

John Deere · Ames, IA

Mid-level

2026-05-13

IA 2026-05-13

View full posting on CareerOneStop → ID: ce4efba7b57b

Data Analyst

Cayuse Holdings · Jefferson City, MO

Mid-level

2026-05-13

MO 2026-05-13

View full posting on CareerOneStop → ID: 22615ed0db51

(USA) Senior Manager, Data Analytics

Walmart · Bentonville, AR

Manager

2026-05-13

AR 2026-05-13

View full posting on CareerOneStop → ID: 4517a3af26b8

Data Analyst

Cayuse Holdings · Little Rock, AR

Mid-level

2026-05-13

AR 2026-05-13

View full posting on CareerOneStop → ID: 6c3578871d7c

Data Analyst II- eDiscovery

Walmart · Bentonville, AR

Mid-level

2026-05-13

AR 2026-05-13

View full posting on CareerOneStop → ID: 4ba9a3421a55

Principal, Data Analyst (Data Ventures)

Walmart · Bentonville, AR

Senior

2026-05-13

AR 2026-05-13

View full posting on CareerOneStop → ID: 4c730013f45a

Senior, Data Analyst

Walmart · Bentonville, AR

Senior

2026-05-13

AR 2026-05-13

View full posting on CareerOneStop → ID: 654dce09d6e4

Data Analyst

Cayuse Holdings · Baton Rouge, LA

Mid-level

2026-05-13

LA 2026-05-13

View full posting on CareerOneStop → ID: 2e66357e66f7

Data Analyst

Arvato Bertelsmann · Pleasant Prairie, WI

Mid-level

2026-05-13

WI 2026-05-13

View full posting on CareerOneStop → ID: fb3b35a94c5d

Data Analyst

Cayuse Holdings · Madison, WI

Mid-level

2026-05-13

WI 2026-05-13

View full posting on CareerOneStop → ID: c12a027996b7

Data Analyst

Cayuse Holdings · Springfield, IL

Mid-level

2026-05-13

IL 2026-05-13

View full posting on CareerOneStop → ID: da93114d10fe

Data Analyst

Cayuse Holdings · Jackson, MS

Mid-level

2026-05-13

MS 2026-05-13

View full posting on CareerOneStop → ID: b582421ee16a

Data Analyst

Cayuse Holdings · Montgomery, AL

Mid-level

2026-05-13

AL 2026-05-13

View full posting on CareerOneStop → ID: 7cfede9c4a97

Data Analyst

Cayuse Holdings · Nashville, TN

Mid-level

2026-05-13

TN 2026-05-13

View full posting on CareerOneStop → ID: 46409c66413c

Data Analyst

Cayuse Holdings · Frankfort, KY

Mid-level

2026-05-13

KY 2026-05-13

View full posting on CareerOneStop → ID: 34104a066a9e

Data Analyst

Cayuse Holdings · Atlanta, GA

Mid-level

2026-05-13

GA 2026-05-13

View full posting on CareerOneStop → ID: 139724da897c

VP, Data Analytics & Business Intelligence

Graphic Packaging International, LLC · Atlanta, GA

Director

2026-05-13

GA 2026-05-13

View full posting on CareerOneStop → ID: afa53251d8dd

Data Analysis Expert

COOLSOFT · Raleigh, NC

Mid-level

2026-05-13

NC 2026-05-13

View full posting on CareerOneStop → ID: 1cfd3304f2d7

Data Analyst

Cayuse Holdings · Raleigh, NC

Mid-level

2026-05-13

NC 2026-05-13

View full posting on CareerOneStop → ID: 7b8ee8d73395

Director, Data Analytics Product Experience

American Tower · Cary, NC

Director

2026-05-13

NC 2026-05-13

View full posting on CareerOneStop → ID: 9719cb951269

Senior Data Analyst - USDS (Multiple Positions)

TikTok U.S. Data Security Inc. · Bellevue, WA

Senior

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 7081cc8d33e6

Senior Software Engineer, Generative AI, GCP Data Analytics

Google · Kirkland, WA

Senior

2026-05-13

WA 2026-05-13

View full posting on CareerOneStop → ID: 59f67f2e0886

Business Intelligence Engineer, Fire Tablets

Amazon · Seattle, WA

Mid-level

2026-05-12

WA 2026-05-12

Requirements

3+ years of SQL, ETL or Oracle experience
Experience writing complex SQL queries
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

In this role you will:
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Put on your marketing cap to drive insights and action we can take to improve the customer experience
Measure the key metrics of our business and propose/implement projects to improve these metrics

View full posting on CareerOneStop → ID: 21bb31195a5d

Business Intelligence Engineer, Rapid & Rural Logistics (R2L) Science & AI

Amazon · Bellevue, WA

Mid-level

2026-05-12

WA 2026-05-12

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

As a BIE II on our team, you will sit at the intersection of data, science, and product - owning end-to-end analytics solutions from ambiguous problem spaces to deployed insights. You'll design scalable data models, build high-quality datasets, and partner closely with Data Scientists and System Development Engineers to integrate predictive models and AI agents into business workflows. This role goes beyond dashboards: you'll share how AI is used in production, evaluate model performance, and ensure outputs are accurate, explainable, and actionable.
Key responsibilities include developing performant ETL pipelines, defining metrics and experimentation frameworks, and building intuitive reporting layers that surface both descriptive and predictive insights.
We're looking for someone who is equally comfortable writing complex SQL, thinking statistically about data, and collaborating on AI-driven solutions. If you're excited about building the next generation of data + AI agents/systems that directly impact operations, this role offers high ownership and visibility.

View full posting on CareerOneStop → ID: 20a88c52cdc8

Senior Business Intelligence Engineer

Humana · Olympia, WA

Senior Associate's

2026-05-12

WA 2026-05-12

Requirements

Minimum 5 years of experience using SQL to write complex queries against large data sets to derive insights and visualize the results with modern data visualization software such as Power BI
Experience designing, building, and maintaining technology solutions in low-code application technology like Microsoft Power Apps/Power Automate
Strong experience working within the healthcare secto
Proven ability to work with cross-functional teams to translate requirements between business users and technical development teams
Ability to gather, analyze, interpret, and present complex data and create accurate and meaningful information for data reporting and decision support to senior leadership
Experience consulting with users at all levels of familiarity with modern BI tools to design and implement the appropriate solution
Proficiency in verbal/written communication to senior and executive leadership
At minimum, a download speed of 25 mbps and an upload speed of 10 mbps is recommended; wireless, wired cable or DSL connection is suggested
Satellite, cellular and microwave connection can be used only if approved by leadership
Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Preferred

Certification in Power BI, Power Platform, Power Apps
Experience using Python to create automated solutions
Experience using MS SQL Server, PL/SQL, Azure Synapse Analytics and/or Databricks
Experience with Power BI report builde
Experience analyzing medical claims and provider data, especially using Humana's internal data
Experience creating analytics solutions within the healthcare secto
*Additional Information
This role is not eligible for work visa sponsorship
As part of our hiring process for this opportunity, we may contact you via text message and email to gather more information using a software platform called HireVue. HireVue Text, Scheduling and Video technologies allow you to interact with us at the time and location most convenient for you.
If you are selected to move forward from your application prescreen, you may receive correspondence inviting you to participate in a pre-recorded Voice, Text Messaging and/or Video interview. Your recorded interview will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

View full posting on CareerOneStop → ID: 7e5d15828813

Sr Business Data Analyst

EBSCO Information Services · Olympia, WA

Senior

2026-05-12

WA 2026-05-12

Responsibilities

Collect, process, and analyze large product usage datasets to identify trends, patterns, and anomalies
Produce regular and ad hoc reports for internal stakeholders, presenting findings in a clear and accessible manne
Collaborate with internal teams to understand reporting needs and deliver relevant insights
Manage multiple concurrent projects and deliverables, meeting deadlines without sacrificing quality
Contribute to the continuous improvement of data collection, analysis, and reporting processes
You will be welcomed to a small but dynamic Usage team that is part of a broader SaaS Product Management team.Our team enjoys the flexibility and greater work life balance working remotely offers.There will be ample resources, tools, training, and support to ensure your success as a Business/Data Analyst II and your development and career growth at EIS.

View full posting on CareerOneStop → ID: 7e67cc73b0d7

Senior Data Analyst (Multiple Positions)

TikTok Inc. · Bellevue, WA

Senior Master's

2026-05-12

WA 2026-05-12

Requirements

Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Data Analytics, Business Analytics, Statistics, Mathematics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Data Analytics, Business Analytics, Statistics, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work experience.
Of the required experience, must have 2 years of experience in each of the following:
Developing graphical and visual representations of data using business intelligence tool Excel or Tableau;
Working with cross-functional teams to design and build self-serve data analysis solutions;
Creating, maintaining, and delivering reports using Excel and developing, validating, and maintaining metrics to manage and evaluate business performance;
Using SQL coding and database management systems to extract, transform, and analyze data from the platform and enterprise systems; and
Constructing advanced queries using SQL.
Travel Requirement: International and domestic travel required up to 20%.
Type: Full time, 40 hours/week
Location: Bellevue, WA

Responsibilities

Develop comprehensive analytics frameworks and product metrics to proactively track, attribute, and identify opportunities to improve products and the business.
Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.
Identify key trends, patterns, and opportunities to drive e-commerce business growth and optimize business and user product offerings.
Monitor key performance indicators and develop metrics framework to help measure cross-function team efforts in a quantitative way.
Conduct A/B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features.
Partner closely with key stakeholders to optimize overall product adoption and performance-driven growth.
Provide recommendations for improvements to achieve business goals.

View full posting on CareerOneStop → ID: 37e0d52392ce

Senior Business Intelligence Engineer

Humana · Boise, ID

Senior

2026-05-12

ID 2026-05-12

View full posting on CareerOneStop → ID: 6c7cad68ae27

Sr Business Data Analyst

EBSCO Information Services · Boise, ID

Senior

2026-05-12

ID 2026-05-12

View full posting on CareerOneStop → ID: 2a1b9da1d754

Senior Business Intelligence Engineer

Humana · Salem, OR

Senior

2026-05-12

OR 2026-05-12

View full posting on CareerOneStop → ID: 5a0dc348c605

Sr Business Data Analyst

EBSCO Information Services · Salem, OR

Senior

2026-05-12

OR 2026-05-12

View full posting on CareerOneStop → ID: 1bc237f4d4cb

Senior Business Intelligence Engineer

Humana · Helena, MT

Senior

2026-05-12

MT 2026-05-12

View full posting on CareerOneStop → ID: 5daad103afeb

Sr Business Data Analyst

EBSCO Information Services · Helena, MT

Senior

2026-05-12

MT 2026-05-12

View full posting on CareerOneStop → ID: 8f7599d3c0fe

(USA) Manager, Data Analytics

Walmart · San Bruno, CA

Manager

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: 8183b9c7691f

Business Analyst/Data Analyst

DT Professional Services · Norco, CA

Mid-level

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: 8cd5cb487245

Business Intelligence (BI) Engineer

Robert Half · Los Angeles, CA

Mid-level

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: b6fca37fc69e

Customer Engineer, Data Analytics, Google Cloud

Google · Sunnyvale, CA

Mid-level

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: b883669ab759

Customer Engineer, Data Analytics, Google Cloud, Startups

Google · Sunnyvale, CA

Mid-level

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: 30be3b76c440

Customer Engineer, Data Analytics, Google Cloud, Startups

Google · San Francisco, CA

Mid-level

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: 1e332f2160d9

Customer Engineer, Data Analytics, Google Cloud, Startups

Google · Los Angeles, CA

Mid-level

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: da3ed5bd14f6

Data Analyst

SMITH JOHNSON GROUP INC. · Sandy, UT

Mid-level

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: e4b4f69adda7

Data Analyst (Applications Analyst II)

Mission Support and Test Services · North Las Vegas, NV

Mid-level

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: 03e769482fa5

Data Analytics Analyst

Canon USA & Affiliates · Glendale, CA

Mid-level

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: 0b514bea85e4

Data Analytics Analyst

Canon USA & Affiliates · Irvine, CA

Mid-level

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: 3253acac7716

Data Analytics Sales Specialist III, Google Cloud

Google · Irvine, CA

Mid-level

2026-05-12

WA 2026-05-12

View full posting on CareerOneStop → ID: b50fca17ad19

Senior Business Intelligence Engineer

Humana · Cheyenne, WY

Senior

2026-05-12

WY 2026-05-12

View full posting on CareerOneStop → ID: cf1ac5f0b6d1

Sr Business Data Analyst

EBSCO Information Services · Cheyenne, WY

Senior

2026-05-12

WY 2026-05-12

View full posting on CareerOneStop → ID: 66d699642884

Senior Business Intelligence Engineer

Humana · Salt Lake City, UT

Senior

2026-05-12

UT 2026-05-12

View full posting on CareerOneStop → ID: 9fd4354684d9

Sr Business Data Analyst

EBSCO Information Services · Salt Lake City, UT

Senior

2026-05-12

UT 2026-05-12

View full posting on CareerOneStop → ID: bfb9f95b4b6a

Senior Business Intelligence Engineer

Humana · Carson City, NV

Senior

2026-05-12

NV 2026-05-12

View full posting on CareerOneStop → ID: 0aab2f9c878c

Sr Business Data Analyst

EBSCO Information Services · Carson City, NV

Senior

2026-05-12

NV 2026-05-12

View full posting on CareerOneStop → ID: d2db7607bb00

Quality Data Analyst

Sanford Health · Bismarck, ND

Mid-level

2026-05-12

ND 2026-05-12

View full posting on CareerOneStop → ID: 8324eb07ab63

Quality Data Analyst

Sanford Health · Fargo, ND

Mid-level

2026-05-12

ND 2026-05-12

View full posting on CareerOneStop → ID: 83590de80ab0

Senior Business Intelligence Engineer

Humana · Bismarck, ND

Senior

2026-05-12

ND 2026-05-12

View full posting on CareerOneStop → ID: 8cbecb37b127

Sr Business Data Analyst

EBSCO Information Services · Bismarck, ND

Senior

2026-05-12

ND 2026-05-12

View full posting on CareerOneStop → ID: 3058a009f82f

Quality Data Analyst

Sanford Health · Sioux Falls, SD

Mid-level

2026-05-12

SD 2026-05-12

View full posting on CareerOneStop → ID: 32b291397cb7

Senior Business Intelligence Engineer

Humana · Pierre, SD

Senior

2026-05-12

SD 2026-05-12

View full posting on CareerOneStop → ID: 62d4d04fea94

Sr Business Data Analyst

EBSCO Information Services · Pierre, SD

Senior

2026-05-12

SD 2026-05-12

View full posting on CareerOneStop → ID: cadc40e427ea

MDM Business Analyst / Data Analyst - Onsite - In-person interview

MSys Inc. · Santa Clara, CA

Mid-level

2026-05-12

CA 2026-05-12

View full posting on CareerOneStop → ID: 019c4c4dac63

Senior Business Intelligence Engineer

Humana · Sacramento, CA

Senior

2026-05-12

CA 2026-05-12

View full posting on CareerOneStop → ID: bef31b4e5188

Sr Business Data Analyst

EBSCO Information Services · Sacramento, CA

Senior

2026-05-12

CA 2026-05-12

View full posting on CareerOneStop → ID: c205686edd90

Senior Business Intelligence Engineer

Humana · Phoenix, AZ

Senior

2026-05-12

AZ 2026-05-12

View full posting on CareerOneStop → ID: 3f1a54eb9c0d

Sr Business Data Analyst

EBSCO Information Services · Phoenix, AZ

Senior

2026-05-12

AZ 2026-05-12

View full posting on CareerOneStop → ID: 5ff1caf13718

Senior Business Intelligence Engineer

Humana · Santa Fe, NM

Senior

2026-05-12

NM 2026-05-12

View full posting on CareerOneStop → ID: c496818f6ff0

Sr Business Data Analyst

EBSCO Information Services · Santa Fe, NM

Senior

2026-05-12

NM 2026-05-12

View full posting on CareerOneStop → ID: 1377c1392ac8

Regulatory Data Analyst - Utility Transformation

System One · Denver, CO

Mid-level

2026-05-12

CO 2026-05-12

View full posting on CareerOneStop → ID: 0c33a35ea66e

Senior Business Intelligence Engineer

Humana · Denver, CO

Senior

2026-05-12

CO 2026-05-12

View full posting on CareerOneStop → ID: 43526a1a0365

Sr Business Data Analyst

EBSCO Information Services · Denver, CO

Senior

2026-05-12

CO 2026-05-12

View full posting on CareerOneStop → ID: 2d68c1ba8dcd

Senior Business Intelligence Engineer

Humana · Lincoln, NE

Senior

2026-05-12

NE 2026-05-12

View full posting on CareerOneStop → ID: 7afb791a8a3d

Sr Business Data Analyst

EBSCO Information Services · Lincoln, NE

Senior

2026-05-12

NE 2026-05-12

View full posting on CareerOneStop → ID: 43d29930d8a6

Senior Business Intelligence Engineer

Humana · Topeka, KS

Senior

2026-05-12

KS 2026-05-12

View full posting on CareerOneStop → ID: 1d8ade1822a2

Sr Business Data Analyst

EBSCO Information Services · Topeka, KS

Senior

2026-05-12

KS 2026-05-12

View full posting on CareerOneStop → ID: 7af4703de80c

Senior Business Intelligence Engineer

Humana · Oklahoma City, OK

Senior

2026-05-12

OK 2026-05-12

View full posting on CareerOneStop → ID: 94ae4b56e9ec

Sr Business Data Analyst

EBSCO Information Services · Oklahoma City, OK

Senior

2026-05-12

OK 2026-05-12

View full posting on CareerOneStop → ID: 7667231ba51d

Customer Engineer, Data Analytics, Google Cloud, Startups

Google · Austin, TX

Mid-level

2026-05-12

TX 2026-05-12

View full posting on CareerOneStop → ID: 19f191ae9c4a

Junior Data Analyst

Steampunk · El Paso, TX

Entry-level

2026-05-12

TX 2026-05-12

View full posting on CareerOneStop → ID: c78e28eeddd3

Junior Data Analyst

Steampunk · El Paso, TX

Entry-level

2026-05-12

TX 2026-05-12

View full posting on CareerOneStop → ID: 646af03b4309

Senior Business Intelligence Engineer

Humana · Austin, TX

Senior

2026-05-12

TX 2026-05-12

View full posting on CareerOneStop → ID: 9d82240924b5

Senior Technology Manager - Data Analytic Platforms

Bank of America · Plano, TX

Manager

2026-05-12

TX 2026-05-12

View full posting on CareerOneStop → ID: fa99b407893b

Sr Business Data Analyst

EBSCO Information Services · Austin, TX

Senior

2026-05-12

TX 2026-05-12

View full posting on CareerOneStop → ID: 96f2b40797d4

Sr. Data Analyst - INTL Mexico

Insight Global · Dallas, TX

Senior

2026-05-12

TX 2026-05-12

View full posting on CareerOneStop → ID: 57bed8e96946

Advanced Data Analyst - Inventory & Planning Analytics

Bio-Techne · Minneapolis, MN

Mid-level

2026-05-12

MN 2026-05-12

View full posting on CareerOneStop → ID: 295aad704589

Quality Data Analyst

Sanford Health · Bemidji, MN

Mid-level

2026-05-12

MN 2026-05-12

View full posting on CareerOneStop → ID: 1abe2c070618

Regulatory Data Analyst - Utility Transformation

System One · Minneapolis, MN

Mid-level

2026-05-12

MN 2026-05-12

View full posting on CareerOneStop → ID: 1d9efdec56db

Senior Business Intelligence Engineer

Humana · Saint Paul, MN

Senior

2026-05-12

MN 2026-05-12

View full posting on CareerOneStop → ID: cbffee75a554

Senior Data Analytics Reporting Analyst - Investment Consultancy & Oversight and Multi-Manager Solutions

Ameriprise Financial · Minneapolis, MN

Manager

2026-05-12

MN 2026-05-12

View full posting on CareerOneStop → ID: f5e30d04b64f

Sr Business Data Analyst

EBSCO Information Services · Saint Paul, MN

Senior

2026-05-12

MN 2026-05-12

View full posting on CareerOneStop → ID: 5adf0d5326ad

Senior Business Intelligence Engineer

Humana · Des Moines, IA

Senior

2026-05-12

IA 2026-05-12

View full posting on CareerOneStop → ID: 1a905ae4272b

Sr Business Data Analyst

EBSCO Information Services · Des Moines, IA

Senior

2026-05-12

IA 2026-05-12

View full posting on CareerOneStop → ID: d3d6a4e85891

Senior Business Intelligence Engineer

Humana · Jefferson City, MO

Senior

2026-05-12

MO 2026-05-12

View full posting on CareerOneStop → ID: eeb492f4f6fb

Sr Business Data Analyst

EBSCO Information Services · Jefferson City, MO

Senior

2026-05-12

MO 2026-05-12

View full posting on CareerOneStop → ID: 3d5d9acd80df

Senior Business Intelligence Engineer

Humana · Little Rock, AR

Senior

2026-05-12

AR 2026-05-12

View full posting on CareerOneStop → ID: 92738e4680bc

Sr Business Data Analyst

EBSCO Information Services · Little Rock, AR

Senior

2026-05-12

AR 2026-05-12

View full posting on CareerOneStop → ID: b89b803b7289

Senior Business Intelligence Engineer

Humana · Baton Rouge, LA

Senior

2026-05-12

LA 2026-05-12

View full posting on CareerOneStop → ID: e37792985163

Sr Business Data Analyst

EBSCO Information Services · Baton Rouge, LA

Senior

2026-05-12

LA 2026-05-12

View full posting on CareerOneStop → ID: 32672e4718b0

Quality Data Analyst

Sanford Health · Marshfield, WI

Mid-level

2026-05-12

WI 2026-05-12

View full posting on CareerOneStop → ID: 4e82af174894

Senior Business Intelligence Engineer

Humana · Madison, WI

Senior

2026-05-12

WI 2026-05-12

View full posting on CareerOneStop → ID: 15d6123b006c

Sr Business Data Analyst

EBSCO Information Services · Madison, WI

Senior

2026-05-12

WI 2026-05-12

View full posting on CareerOneStop → ID: 64344cfffe64

Business Intelligence Analyst (Senior or Lead)

The Boeing Company · Chicago, IL

Senior

2026-05-12

IL 2026-05-12

View full posting on CareerOneStop → ID: c82d087c80fc

Customer Engineer, Data Analytics, Google Cloud, Startups

Google · Chicago, IL

Mid-level

2026-05-12

IL 2026-05-12

View full posting on CareerOneStop → ID: 3a17d3b919af

Data Analyst 2 (2-4 years)

Robert Half · Chicago, IL

Mid-level

2026-05-12

IL 2026-05-12

View full posting on CareerOneStop → ID: 607321ec6792

Senior Business Intelligence Analyst, Cat Digital

Caterpillar, Inc. · Chicago, IL

Senior

2026-05-12

IL 2026-05-12

View full posting on CareerOneStop → ID: 5d0a10019f37

Senior Business Intelligence Engineer

Humana · Springfield, IL

Senior

2026-05-12

IL 2026-05-12

View full posting on CareerOneStop → ID: f50541445077

Sr Business Data Analyst

EBSCO Information Services · Springfield, IL

Senior

2026-05-12

IL 2026-05-12

View full posting on CareerOneStop → ID: 2c48fa229e5d

Senior Business Intelligence Engineer

Humana · Jackson, MS

Senior

2026-05-12

MS 2026-05-12

View full posting on CareerOneStop → ID: 47f4ab30aaf7

Sr Business Data Analyst

EBSCO Information Services · Jackson, MS

Senior

2026-05-12

MS 2026-05-12

View full posting on CareerOneStop → ID: 762b5d7230e5

Senior Business Intelligence Engineer

Humana · Montgomery, AL

Senior

2026-05-12

AL 2026-05-12

View full posting on CareerOneStop → ID: 848f1cba5dc0

Sr Business Data Analyst

EBSCO Information Services · Montgomery, AL

Senior

2026-05-12

AL 2026-05-12

View full posting on CareerOneStop → ID: d8aad7d0c90b

Senior Business Intelligence Engineer

Humana · Nashville, TN

Senior

2026-05-12

TN 2026-05-12

View full posting on CareerOneStop → ID: a0e67862e3c5

Sr Business Data Analyst

EBSCO Information Services · Nashville, TN

Senior

2026-05-12

TN 2026-05-12

View full posting on CareerOneStop → ID: c4d2a259fbe2

Senior Business Intelligence Engineer

Humana · Frankfort, KY

Senior

2026-05-12

KY 2026-05-12

View full posting on CareerOneStop → ID: c300f9aaf462

Sr Business Data Analyst

EBSCO Information Services · Frankfort, KY

Senior

2026-05-12

KY 2026-05-12

View full posting on CareerOneStop → ID: cdffd25cd641

Customer Engineer, Data Analytics, Google Cloud, Startups

Google · Atlanta, GA

Mid-level

2026-05-12

GA 2026-05-12

View full posting on CareerOneStop → ID: c31915a4a7e5

Research Data Analyst

University of Kansas Medical Center · Kansas City, KS

Mid-level

2026-05-11

KS 2026-05-11

View full posting on CareerOneStop → ID: 9a3b51968ea7

Statistical Data Analyst

Saline County · Salina, KS

Mid-level

2026-05-11

KS 2026-05-11

View full posting on CareerOneStop → ID: 49d2aaa17279

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Olympia, WA

Manager Doctorate

2026-05-10

WA 2026-05-10

Requirements

Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
At least 5 years of experience performing professional data analysis work
At least 5 years of experience leading and developing with open source data technologies
At least 2 years of experience managing people

Preferred

Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
At least 7 years of experience in statistical or econometrics hands-on work
At least 5 years of experience manipulating and performing analysis with large data sets
At least 5 years of experience in financial services industry
At least 5 years of experience in developing statistical or econometric models
At least 5 years of experience in validating statistical or econometric models
At least 2 years of experience with data governance
At least 2 years of experience with predictive analytics
At least 2 years of experience with B2B SaaS products
_At this time, Capital One will not sponsor a new applicant for employment authorization for this position._
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Remote (Regardless of Location): $182,500 - $208,300 for Sr. Data Analysis Manage
Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manage
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.

Responsibilities

Partnership : Partner with stakeholders across the GTM organization, including Sales, Sales Operations, Solutions Architecture, and Customer Success Leaders to identify and address reporting and analysis needs
Execution : Manage and sequence delivery of reporting and data needs, build business requirements and execute against these requirements. Own and drive multiple projects concurrently
Dashboarding and Visualization : Ability to create dashboards and data visualizations that deliver business insights and information at scale
Strategic & Analytic Orientation : A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation and data driven approach
Collaboration : Ability to collaborate and work with business partners across the enterprise. You should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results in a fast growing, matrixed environment
Strong Executive Communication Skills : Impeccable written and oral communication credentials, coupled with the ability to deliver core business reports to GTM leadership
Clear Results Orientation : Display an intense focus on achieving both short and long term goals. You should be able to drive and execute an agenda in an uncertain and fluid environment, including the preparation of ad-hoc analysis and reports
People Leadership: Provide effective coaching, and consistent feedback. Establish clear expectations and actively develop your associates' skills.

View full posting on CareerOneStop → ID: a63151c12872

Data Analyst - Technical - Senior

Intermountain Health · Boise, ID

Senior

2026-05-10

ID 2026-05-10

View full posting on CareerOneStop → ID: ed2a165a6e90

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Boise, ID

Manager

2026-05-10

ID 2026-05-10

View full posting on CareerOneStop → ID: dfed7c029a2b

Data Analyst - Technical - Senior

Intermountain Health · Salem, OR

Senior

2026-05-10

OR 2026-05-10

View full posting on CareerOneStop → ID: ec58708ee72e

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Salem, OR

Manager

2026-05-10

OR 2026-05-10

View full posting on CareerOneStop → ID: d59faa5d3a44

Data Analyst - Technical - Senior

Intermountain Health · Helena, MT

Senior

2026-05-10

MT 2026-05-10

View full posting on CareerOneStop → ID: 463d9d90774c

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Helena, MT

Manager

2026-05-10

MT 2026-05-10

View full posting on CareerOneStop → ID: 891e686d6671

Data Analyst - Technical - Senior

Intermountain Health · Cheyenne, WY

Senior

2026-05-10

WY 2026-05-10

View full posting on CareerOneStop → ID: b0ce8cf69c12

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Cheyenne, WY

Manager

2026-05-10

WY 2026-05-10

View full posting on CareerOneStop → ID: 78bad4e69d18

Business Data Analyst

MILLIMAN, INC. · Salt Lake City, UT

Mid-level

2026-05-10

UT 2026-05-10

View full posting on CareerOneStop → ID: b01bcfb8d381

Data Analyst - Technical - Senior

Intermountain Health · Salt Lake City, UT

Senior

2026-05-10

UT 2026-05-10

View full posting on CareerOneStop → ID: 4c6786ee1074

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Salt Lake City, UT

Manager

2026-05-10

UT 2026-05-10

View full posting on CareerOneStop → ID: 815e3e437951

Data Analyst - Technical - Senior

Intermountain Health · Carson City, NV

Senior

2026-05-10

NV 2026-05-10

View full posting on CareerOneStop → ID: 394650cf0e79

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Carson City, NV

Manager

2026-05-10

NV 2026-05-10

View full posting on CareerOneStop → ID: f085de6de322

Data Analyst - Technical - Senior

Intermountain Health · Bismarck, ND

Senior

2026-05-10

ND 2026-05-10

View full posting on CareerOneStop → ID: cba93fcc39e2

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Bismarck, ND

Manager

2026-05-10

ND 2026-05-10

View full posting on CareerOneStop → ID: 470d84b869a1

Data Analyst - Technical - Senior

Intermountain Health · Pierre, SD

Senior

2026-05-10

SD 2026-05-10

View full posting on CareerOneStop → ID: 94b45b990148

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Pierre, SD

Manager

2026-05-10

SD 2026-05-10

View full posting on CareerOneStop → ID: cff70b1a8fab

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Sacramento, CA

Manager

2026-05-10

CA 2026-05-10

View full posting on CareerOneStop → ID: 785607df8eed

Data Analyst - Technical - Senior

Intermountain Health · Phoenix, AZ

Senior

2026-05-10

AZ 2026-05-10

View full posting on CareerOneStop → ID: 27a45ad5b841

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Phoenix, AZ

Manager

2026-05-10

AZ 2026-05-10

View full posting on CareerOneStop → ID: e8cc1100162c

Data Analyst - Technical - Senior

Intermountain Health · Santa Fe, NM

Senior

2026-05-10

NM 2026-05-10

View full posting on CareerOneStop → ID: c10588cabbb0

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Santa Fe, NM

Manager

2026-05-10

NM 2026-05-10

View full posting on CareerOneStop → ID: 8e7647b48b29

Data Analyst - Technical - Senior

Intermountain Health · Denver, CO

Senior

2026-05-10

CO 2026-05-10

View full posting on CareerOneStop → ID: 34dd52336f5c

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Denver, CO

Manager

2026-05-10

CO 2026-05-10

View full posting on CareerOneStop → ID: d1585398cc14

Data Analyst - Technical - Senior

Intermountain Health · Lincoln, NE

Senior

2026-05-10

NE 2026-05-10

View full posting on CareerOneStop → ID: 53f7133e6b65

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Lincoln, NE

Manager

2026-05-10

NE 2026-05-10

View full posting on CareerOneStop → ID: f3e3e16b9531

Data Analyst - Technical - Senior

Intermountain Health · Topeka, KS

Senior

2026-05-10

KS 2026-05-10

View full posting on CareerOneStop → ID: 54d572e29098

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Topeka, KS

Manager

2026-05-10

KS 2026-05-10

View full posting on CareerOneStop → ID: 639f4879cc17

Data Analyst - Technical - Senior

Intermountain Health · Oklahoma City, OK

Senior

2026-05-10

OK 2026-05-10

View full posting on CareerOneStop → ID: d7785d467dcd

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Oklahoma City, OK

Manager

2026-05-10

OK 2026-05-10

View full posting on CareerOneStop → ID: 2b29df28c9cd

Data Analyst - Technical - Senior

Intermountain Health · Austin, TX

Senior

2026-05-10

TX 2026-05-10

View full posting on CareerOneStop → ID: adda39caf787

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Austin, TX

Manager

2026-05-10

TX 2026-05-10

View full posting on CareerOneStop → ID: 56f0be9ff02c

Data Analyst - Technical - Senior

Intermountain Health · Saint Paul, MN

Senior

2026-05-10

MN 2026-05-10

View full posting on CareerOneStop → ID: b2a39e778854

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Saint Paul, MN

Manager

2026-05-10

MN 2026-05-10

View full posting on CareerOneStop → ID: 40ba9a833214

Senior Healthcare Data Analyst - Agency Policy Specialist

State of Minnesota · Saint Paul, MN

Senior

2026-05-10

MN 2026-05-10

View full posting on CareerOneStop → ID: 4a97b9f27e44

Data Analyst - Technical - Senior

Intermountain Health · Des Moines, IA

Senior

2026-05-10

IA 2026-05-10

View full posting on CareerOneStop → ID: 0e50caa0054f

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Des Moines, IA

Manager

2026-05-10

IA 2026-05-10

View full posting on CareerOneStop → ID: e3eefe93c1b6

Data Analyst - Technical - Senior

Intermountain Health · Jefferson City, MO

Senior

2026-05-10

MO 2026-05-10

View full posting on CareerOneStop → ID: 5b48ad1fa8bd

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Jefferson City, MO

Manager

2026-05-10

MO 2026-05-10

View full posting on CareerOneStop → ID: be89c19d2647

Data Analyst - Technical - Senior

Intermountain Health · Little Rock, AR

Senior

2026-05-10

AR 2026-05-10

View full posting on CareerOneStop → ID: b5c5a4c971d9

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Little Rock, AR

Manager

2026-05-10

AR 2026-05-10

View full posting on CareerOneStop → ID: 299f42c227c4

Data Analyst - Technical - Senior

Intermountain Health · Baton Rouge, LA

Senior

2026-05-10

LA 2026-05-10

View full posting on CareerOneStop → ID: 110a467e3038

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Baton Rouge, LA

Manager

2026-05-10

LA 2026-05-10

View full posting on CareerOneStop → ID: 6762bf7f3f92

Data Analyst - Technical - Senior

Intermountain Health · Madison, WI

Senior

2026-05-10

WI 2026-05-10

View full posting on CareerOneStop → ID: 33238fe5b0be

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Madison, WI

Manager

2026-05-10

WI 2026-05-10

View full posting on CareerOneStop → ID: d9400f4e2a63

Data Analyst - Technical - Senior

Intermountain Health · Springfield, IL

Senior

2026-05-10

IL 2026-05-10

View full posting on CareerOneStop → ID: b3ae5815d533

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Springfield, IL

Manager

2026-05-10

IL 2026-05-10

View full posting on CareerOneStop → ID: 2984f746cfa6

Data Analyst - Technical - Senior

Intermountain Health · Jackson, MS

Senior

2026-05-10

MS 2026-05-10

View full posting on CareerOneStop → ID: 03ebae41b1a4

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Jackson, MS

Manager

2026-05-10

MS 2026-05-10

View full posting on CareerOneStop → ID: f72f26cf9cf3

Data Analyst - Technical - Senior

Intermountain Health · Montgomery, AL

Senior

2026-05-10

AL 2026-05-10

View full posting on CareerOneStop → ID: 357e137f4794

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Montgomery, AL

Manager

2026-05-10

AL 2026-05-10

View full posting on CareerOneStop → ID: dec057537726

Consulting Business Intelligence Developer

HCA Healthcare · Nashville, TN

Mid-level

2026-05-10

TN 2026-05-10

View full posting on CareerOneStop → ID: 9023375d70a2

Data Analyst - Technical - Senior

Intermountain Health · Nashville, TN

Senior

2026-05-10

TN 2026-05-10

View full posting on CareerOneStop → ID: 4491eeb12a27

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Nashville, TN

Manager

2026-05-10

TN 2026-05-10

View full posting on CareerOneStop → ID: 03d74017ba05

Data Analyst - Technical - Senior

Intermountain Health · Frankfort, KY

Senior

2026-05-10

KY 2026-05-10

View full posting on CareerOneStop → ID: abbfacc40f99

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)

Capital One · Frankfort, KY

Manager

2026-05-10

KY 2026-05-10

View full posting on CareerOneStop → ID: 02d05f12bef3

Business Intelligence Engineer, SCOT-AIM

Amazon · Bellevue, WA

Mid-level

2026-05-09

WA 2026-05-09

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience writing complex SQL queries
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

You will be owning building of data and AI products that provide stakeholders across Amazon with deep insights to identify and resolve defects. We own metrics, bridges, anomaly detection, insight generation and defect repair systems used by Senior leadership, stakeholders and business teams across entire Amazon e-commerce organization worldwide.
You will always be challenged to think several steps ahead so that the solutions we are building today will scale well with future growth and without adding excessive operational overhead.
You will need to develop deep technical and business understanding of existing system (owned by us as well as other teams across Amazon) as you will responsible for identifying synergies and minimizing investment in redundant features.
You will work with supply chain operations teams, in-house scientists, other BI Engineers, and software teams to identify enhancement opportunities and new features for our data products.
Successful candidates should excel at diving into data in order to analyze problems and implement simple, long term solutions.
This is a highly visible role and will require regular interaction and communication with senior leaders.
You must have experience and capability to document your work for technical as well as non-technical audiences.
You will have the opportunity to thrive in a highly collaborative, creative, analytical, and fast-paced environment oriented around building the world's most flexible and effective supply chain management technology.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

View full posting on CareerOneStop → ID: 297fb0873f73

Data Engineer, AIR DABI (Data Analytics and Business Intelligence)

Amazon · Bellevue, WA

Mid-level

2026-05-09

WA 2026-05-09

Requirements

2+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)
Familiarity with leveraging GenAI/LLM tools to improve development productivity

Preferred

Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Responsibilities

Design and implement robust ETL/ELT processes using AWS big data technologies
Create scalable data integration solutions that transform complex business requirements into actionable insights
Develop and maintain high-performance data pipelines that support critical business intelligence needs
Proactively identify and resolve data infrastructure challenges to enhance system reliability
Collaborate with cross-functional teams to drive data-driven decision-making strategies
Contribute to the development and maintenance of AIR's GenAI infrastructure and data foundations
Design and implement data architectures that support generative AI applications and LLM workflows
Leverage GenAI tools (e.g., Amazon Q, coding assistants) to accelerate development and testing
Your day will be a dynamic blend of technical innovation and collaborative problem-solving. You'll dive into complex datasets, design elegant data pipelines, and work alongside cross-functional teams to unlock actionable intelligence that shapes the future of global logistics.

View full posting on CareerOneStop → ID: 06b3204dd0b5

Senior Business Intelligence Engineer

ManpowerGroup · Redmond, WA

Senior

2026-05-09

WA 2026-05-09

Requirements

5+ years of experience in Business Intelligence, Data Engineering, or Analytics roles
Advanced SQL skills with experience working on large-scale datasets (billions of rows)
Strong experience with AWS data stack (Redshift, S3, Athena, Glue, Lambda)
Proficiency in Python (or similar) for data processing and automation
Experience building ETL pipelines and managing full data lifecycle
Strong experience with BI tools (QuickSight, Tableau, or Power BI)
Experience with data modeling, data warehousing, and datamarts
Proven ability to influence business decisions through data insights

Preferred

Experience working with distributed data processing frameworks (Spark, Trino, EMR)
Knowledge of modern table formats (Apache Iceberg, Delta Lake)
Experience with Airflow or workflow orchestration tools
Background in statistical modeling or machine learning techniques
Experience working with executive stakeholders in fast-paced environments
Key Success Metrics
Reduction in data pipeline latency and improvement in refresh cycles
Increased adoption of dashboards and self-service analytics tools
Quantifiable business impact (e.g., revenue growth, cost savings, efficiency gains)
Data quality improvements and reduction in reporting errors
Scalability and reliability of data infrastructure

Responsibilities

Data Engineering & Architecture
Design, build, and maintain scalable ETL pipelines processing billions of records using modern data architectures (e.g., Apache Iceberg, S3, distributed query engines).
Develop and optimize data workflows leveraging AWS services such as Redshift, Athena, Glue, Lambda, and EMR.
Build and maintain data lakes and datamarts that consolidate data from disparate sources (S3, relational databases, logging systems).
Ensure high data availability and performance for large-scale analytics workloads.
Analytics & Business Intelligence
Develop and maintain executive-facing dashboards and reporting solutions (e.g., QuickSight, Tableau, Power BI) to support weekly and quarterly business reviews.
Translate complex business problems into data-driven insights, including opportunity tracking, revenue optimization, and operational efficiency metrics.
Design multidimensional reporting frameworks to enable trend analysis and long-term strategic planning.
Automate reporting processes to reduce manual effort and improve data accessibility across teams.
Advanced Analytics & Data Science
Apply statistical techniques (A/B testing, regression models, segmentation algorithms) to solve business problems and guide decision-making.
Perform deep-dive root cause analysis on operational issues and system performance.
Develop predictive or classification models to identify high-value segments and optimize targeting strategies.
Data Quality & Governance
Design and implement data validation frameworks to ensure accuracy, consistency, and reliability across datasets.
Lead large-scale data migrations and ensure integrity across systems.
Establish best practices for data governance, monitoring, and schema management.
Cross-Functional Collaboration
Partner closely with Product, Engineering, Finance, and Business teams to define KPIs and deliver actionable insights.
Communicate findings and strategic recommendations to senior leadership (Director/VP level).
Collaborate on product analytics initiatives to improve user behavior tracking and feature adoption measurement.

View full posting on CareerOneStop → ID: a270317f3e27

Senior Business Intelligence Engineer

CenterWell · Olympia, WA

Senior Master's

2026-05-09

WA 2026-05-09

Requirements

Bachelor's degree and 5+ years of technical experience in data analysis OR Master's degree and 3+ years of experience.
Advanced experience working with big and complex data sets within large organizations.
Experience analyzing data to solve different business problems and create data visualizations that create strategic direction.
Proficiency in understanding Healthcare related data.
Proficiency in communication to senior and executive leadership.
Must be passionate about contributing to an organization focused on improving consumer experiences.
Will work within the Eastern Time (EST) zone.

Preferred

Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
Advanced in SQL, SAS, and other data systems.
Experience with tools such as Tableau and Qlik for creating data visualizations.
Expertise in data mining, forecasting, simulation, and predictive modeling.
Experience creating analytics solutions for multiple healthcare sectors.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

View full posting on CareerOneStop → ID: 187ac11fba35

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Olympia, WA

Senior Bachelor's

2026-05-09

WA 2026-05-09

Requirements

8+ years of experience in related field, including experience with specific tools in scope such as Google Cloud Platform, preferred
Experience/proficiency in SQL, Python, Tableau, Google Looke
Demonstrated expertise of solution design and modeling
Experience with business critical applications.
Excellent written and oral communication skills.
Demonstrated understanding of financial implications of projects.
Experience on large-scale implementation programs preferred
Business Requirements Documentation Experience preferred
Bachelor's Degree in related field (i.e. Computer Science) or equivalent work experience preferred
*What is expected at this level:
Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
Participates in the development of policies and procedures to achieve specific goals
Recommends new practices, processes, metrics, or models
Works on or may lead complex projects of large scope
Projects may have significant and long-term impact
Provides solutions which may set precedent
Independently determines method for completion of new projects
Receives guidance on overall project objectives
Acts as a mentor to less experienced colleagues

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

The primary role of the Senior Data Analyst is to support and expand the technical capabilities of the Financial Insights team across an array of technologies and business domains, including Credit, Rebates, Accounting, and FP&A. This role will require expertise in deployment of Machine Learning models in the Cardinal Health environment, and therefore strong Python and SDLC experience is preferred. This person will work collaboratively with Shared Services/Cloud teams, offshore/onshore developers, 3rd party business partners, and business users to solve business problems and deliver solutions.
Work with cross-functional partners across our highly matrixed organization to understand both upstream inputs to, and downstream impact of, current and future processes
Prepares and analyzes data. This can include: locating, profiling, cleansing, extracting, mapping, importing, transforming, validating or modeling.
Ensure technical specifications are aligned with both business needs and technical design standards
Partner with external consultants, solution providers, and managed services organizations to enable product/solution development as well as meeting documented standards
Interact with multiple organizations to track project progress, identify risks, communicate risks and status to leadership, and to assess potential impacts to the business.
Generate ideas and suggestions for process and technical improvements for platforms and processes supported by the team
Ensure platforms and tools meet or exceed data security standards, including internal and external audits performed
Willingness to become a techno-functional expert in the solutions being implemented.
Use strong verbal and written communication skills that non-technical business and end-users can understand.
Develop best practices for solution and tool frameworks, leveraging standard naming conventions, scripting and coding practices to ensure consistency of data solution.

View full posting on CareerOneStop → ID: 96e868551cd4

Sr Dir - HR Data Analytics

Maximus · Olympia, WA

Senior Bachelor's

2026-05-09

WA 2026-05-09

Requirements

'- Bachelor's degree in relevant field of study.
12+ years of relevant professional experience required.?

Responsibilities

Team Leadership
Lead, coach, and grow a multi-disciplinary team (analytics, data engineering, and/or reporting); set priorities, operating rhythms, and performance expectations aligned to enterprise needs.
Build organizational capability through talent strategy, succession planning, and knowledge management; manage budgets and vendor performance to deliver high-quality, reliable analytics services.
HR Analytics & Insights
Set the enterprise people analytics strategy, including executive dashboards and an integrated insights cadence for the HR Leadership Team and business executives.
Oversee advanced analytics (e.g., predictive modeling) to quantify drivers of retention, performance, engagement, and productivity at enterprise scale.
Deliver board- and executive-ready narratives that connect workforce insights to business outcomes, risk, and investment decisions.
Establish disciplined methodologies for insight generation (data validation, assumptions, documentation, and reproducibility) and set quality standards for enterprise reporting.
Assess and prioritize AI use cases across the HR function, partnering with HRBPs and Centers of Excellence to identify high-value opportunities
Build team capability in AI-assisted analytics tools, including prompt engineering, output validation, and critical evaluation of model results
Translate AI-generated insights into actionable narratives for CHRO and executive audiences, ensuring findings are communicated with appropriate confidence levels and caveats
Maintain data lineage documentation so that any metric or prediction can be traced back to its source, logic, and assumptions
Govern access permissions for AI-generated outputs, ensuring sensitive insights are restricted to appropriate audiences
Serve as an internal advocate for responsible AI use, raising concerns when AI applications risk producing inequitable or legally problematic outcomes
Strategic Workforce Intelligence
Facilitate enterprise workforce intelligence in partnership with Talent Acquisition, Learning, Total Rewards, HRBPs, and Finance to inform multi-year workforce and skills strategies.
In partnership with the Strategic Workforce Planning (SWP) team, support forecasting, scenario planning, and capacity models; translate strategic plans into demand/supply insights, leading indicators, and quantified trade-offs.
Data Quality, Governance & Infrastructure
Own enterprise HR data governance for people analytics, including platform strategy, vendor partnerships, and integration with enterprise data/BI ecosystems.
Establish and enforce enterprise measurement standards (definitions, hierarchies, metadata, and stewardship) to ensure a single source of truth for workforce metrics.
Ensure data privacy, security, and compliance practices (including retention and access controls) are embedded in analytics products and AI-enabled workflows.
Define the analytics technology roadmap in partnership with the Technology team; evaluate, select, and govern tools to improve insight delivery, automation, and self-service analytics across HR and the enterprise.
Cross-Functional Partnership
Serve as the enterprise people analytics advisor to the CHRO and HR Leadership Team, shaping decisions through data-driven perspectives and measurable outcomes.
Lead analytics support for enterprise initiatives (e.g., growth, transformation, M&A integration, skills strategy), aligning metrics, governance, and change adoption.
Influence senior stakeholders across HR, Technology, Finance, and operations; establish engagement models, service levels, and governance forums that enable enterprise-wide alignment.
Oversee advanced analytics (e.g., predictive modeling) to quantify the drivers of retention, performance, engagement, and productivity at enterprise scale.
Deliver board- and executive-ready narratives that connect workforce insights to business outcomes, risks, and investment decisions.
Establish disciplined methodologies for insight generation (including data validation, assumptions, documentation, and reproducibility) and set quality standards for enterprise reporting.
Collaborate with the Strategic Workforce Planning (SWP) team to support forecasting, scenario planning, and capacity models; translate strategic plans into demand and supply insights, leading indicators, and quantified trade-offs.
Translate AI-generated insights into actionable narratives for CHRO and executive audiences, ensuring that findings are communicated with appropriate confidence levels and caveats.
Lead, coach, and grow a multidisciplinary team (analytics, data engineering, and/or reporting); set priorities, operating rhythms, and performance expectations aligned with enterprise needs.

View full posting on CareerOneStop → ID: 2f9a27001580

Data Analyst - Housing Programs

DESC · Seattle, WA

Mid-level Master's

2026-05-09

WA 2026-05-09

Requirements

Associate's degree, or 2 years of highly relevant paid work experience and formal training in data analytics to demonstrate an ability to successfully perform the job.
Strong computer skills, including using word processors, analyzing Excel spreadsheets, and writing SQL queries.
Strong oral and written communication skills and ability to work effectively with staff from various backgrounds and disciplines.
Ability to organize and coordinate work efficiently; prioritize workload, work under pressure with tight timelines and changing priorities.
Ability to work independently with a minimum of supervision, and act on own initiative, within agency procedural guidelines.
Initiative and creativity in problem solving and system development.
Willingness to be flexible and work cooperatively with co-workers to accomplish all responsibilities of the team.
Subscribe to philosophy of cooperation and continuity across programs, and of consideration and respect for clients.
Appropriate safeguarding and handling of confidential and proprietary information.

Preferred

Bachelor's degree in computer science, engineering, related field or equivalent experience: advanced degree a plus.
4 years' highly relevant paid work experience.
Knowledge of affordable housing and homelessness sectors.
Knowledge of health equity and organizational change principles.
Experience working in administration/coordination in a human services or affordable housing setting.
Experience working with individuals who are homeless, mentally ill, and/or use substances.
Demonstrated ability to use scripting or programming languages to perform tasks.
Data analysis experience with R/Python
Experience with Apache or other HTTP servers, GitHub, and Linux.

Responsibilities

Identify, coordinate, and communicate processes to create efficiencies and improve program performance.
Monitor and administer DESC's housing data collection and reporting through King County's HMIS system.
Creating interactive dashboard visualizations, to help track key indicators of outcome and success in programs and settings.
Adherence to the HIM compliance and housing documentation improvement program, including training housing staff on documentation standards.
Serves as a subject matter expert for managers on documentation & data reporting standards that comply with regulatory requirements.
Assist various housing programs with data analysis and reporting requirements.
Use data sources to perform validation and quality control checks to track performance and compliance in identified areas.
Perform analysis on quality, cost and achievement metrics to evaluate programs, using visualization techniques to communicate insights and recommendations.
Support ongoing contract requirements with independent data analysis and written reports.
Collaborate with the Quality and Information Management Departments and other DESC partners to scope, design, and validate additional reporting and design features.
Enhance existing reports and reporting processes to create efficiencies and added value throughout DESC.
Assist in various quality assurance activities, including but not limited to quarterly internal audits.
Document project details and maintain report specifications that clearly describe how implemented features work and work with end-users to ensure usage and usability.
Other duties as assigned.

View full posting on CareerOneStop → ID: b43005b93180

GIS Data Analyst

City of Boise · Boise, ID

Mid-level

2026-05-09

ID 2026-05-09

View full posting on CareerOneStop → ID: fbb0df258bd9

Senior Business Intelligence Engineer

CenterWell · Boise, ID

Senior

2026-05-09

ID 2026-05-09

View full posting on CareerOneStop → ID: a21c4608f9f4

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Boise, ID

Senior

2026-05-09

ID 2026-05-09

View full posting on CareerOneStop → ID: 081263560e4d

Sr Data Analyst

Simplot · Boise, ID

Senior

2026-05-09

ID 2026-05-09

View full posting on CareerOneStop → ID: f7b4afb0c2f2

Sr Dir - HR Data Analytics

Maximus · Boise, ID

Senior

2026-05-09

ID 2026-05-09

View full posting on CareerOneStop → ID: 6f75c5385898

Senior Business Intelligence Engineer

CenterWell · Salem, OR

Senior

2026-05-09

OR 2026-05-09

View full posting on CareerOneStop → ID: 9703cbdfc6ab

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Salem, OR

Senior

2026-05-09

OR 2026-05-09

View full posting on CareerOneStop → ID: ceb614cbf98b

Sr Dir - HR Data Analytics

Maximus · Salem, OR

Senior

2026-05-09

OR 2026-05-09

View full posting on CareerOneStop → ID: 76b8f487810a

Senior Business Intelligence Engineer

CenterWell · Helena, MT

Senior

2026-05-09

MT 2026-05-09

View full posting on CareerOneStop → ID: 5defb5edde1c

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Helena, MT

Senior

2026-05-09

MT 2026-05-09

View full posting on CareerOneStop → ID: e88a10c8fce8

Sr Dir - HR Data Analytics

Maximus · Helena, MT

Senior

2026-05-09

MT 2026-05-09

View full posting on CareerOneStop → ID: dbe293435e74

Part-Time Data Analyst Technician (Manufacturing Systems / C

PEPPERIDGE FARM INCORPORATED · Richmond, UT

Mid-level

2026-05-09

WA 2026-05-09

View full posting on CareerOneStop → ID: 400734443817

Senior Business Intelligence Engineer

CenterWell · Cheyenne, WY

Senior

2026-05-09

WY 2026-05-09

View full posting on CareerOneStop → ID: 548cad0aaa06

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Cheyenne, WY

Senior

2026-05-09

WY 2026-05-09

View full posting on CareerOneStop → ID: aea0775b57e6

Sr Dir - HR Data Analytics

Maximus · Cheyenne, WY

Senior

2026-05-09

WY 2026-05-09

View full posting on CareerOneStop → ID: fc315932e868

ASSOCIATE, DATA ANALYTICS BI

GOLDMAN, SACHS & CO. · Salt Lake City, UT

Entry-level

2026-05-09

UT 2026-05-09

View full posting on CareerOneStop → ID: 94fdb7b94850

Jr. Data Analyst

Brady Corporation · Salt Lake City, UT

Entry-level

2026-05-09

UT 2026-05-09

View full posting on CareerOneStop → ID: 6a3e437a85fa

Senior Business Intelligence Engineer

CenterWell · Salt Lake City, UT

Senior

2026-05-09

UT 2026-05-09

View full posting on CareerOneStop → ID: ec9599648050

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Salt Lake City, UT

Senior

2026-05-09

UT 2026-05-09

View full posting on CareerOneStop → ID: d0ca7ec34291

Sr Dir - HR Data Analytics

Maximus · Salt Lake City, UT

Senior

2026-05-09

UT 2026-05-09

View full posting on CareerOneStop → ID: 551660d1a2df

Senior Business Intelligence Engineer

CenterWell · Carson City, NV

Senior

2026-05-09

NV 2026-05-09

View full posting on CareerOneStop → ID: a8994c2dd17f

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Carson City, NV

Senior

2026-05-09

NV 2026-05-09

View full posting on CareerOneStop → ID: d6f5f42d4252

Sr Dir - HR Data Analytics

Maximus · Carson City, NV

Senior

2026-05-09

NV 2026-05-09

View full posting on CareerOneStop → ID: 108294e8763e

Senior Business Intelligence Engineer

CenterWell · Bismarck, ND

Senior

2026-05-09

ND 2026-05-09

View full posting on CareerOneStop → ID: de67e11be2f0

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Bismarck, ND

Senior

2026-05-09

ND 2026-05-09

View full posting on CareerOneStop → ID: 2235f4176ae7

Sr Dir - HR Data Analytics

Maximus · Bismarck, ND

Senior

2026-05-09

ND 2026-05-09

View full posting on CareerOneStop → ID: da240ed8d73e

Senior Business Intelligence Engineer

CenterWell · Pierre, SD

Senior

2026-05-09

SD 2026-05-09

View full posting on CareerOneStop → ID: 7b7e27cefc07

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Pierre, SD

Senior

2026-05-09

SD 2026-05-09

View full posting on CareerOneStop → ID: 97774bddd110

Sr Dir - HR Data Analytics

Maximus · Pierre, SD

Senior

2026-05-09

SD 2026-05-09

View full posting on CareerOneStop → ID: 5b5cfb62f1d7

Business Data Analyst

Insight Global · Vernon, CA

Mid-level

2026-05-09

CA 2026-05-09

View full posting on CareerOneStop → ID: f526debda28e

Customer Engineer, Data Analytics, Financial Services

Google · Los Angeles, CA

Mid-level

2026-05-09

CA 2026-05-09

View full posting on CareerOneStop → ID: 5839162642b5

Customer Engineer, Data Analytics, Financial Services

Google · San Francisco, CA

Mid-level

2026-05-09

CA 2026-05-09

View full posting on CareerOneStop → ID: 407c41b9f071

Customer Engineer, Data Analytics, Financial Services

Google · Sunnyvale, CA

Mid-level

2026-05-09

CA 2026-05-09

View full posting on CareerOneStop → ID: 61ee84e8ed46

Data Analyst, Provider Configuration

Molina Healthcare · Long Beach, CA

Mid-level

2026-05-09

CA 2026-05-09

View full posting on CareerOneStop → ID: 290447f4133d

Senior Business Intelligence Engineer

CenterWell · Sacramento, CA

Senior

2026-05-09

CA 2026-05-09

View full posting on CareerOneStop → ID: d96afd9e0fd1

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Sacramento, CA

Senior

2026-05-09

CA 2026-05-09

View full posting on CareerOneStop → ID: 103db2772124

Senior Business Intelligence Engineer

CenterWell · Phoenix, AZ

Senior

2026-05-09

AZ 2026-05-09

View full posting on CareerOneStop → ID: 3c2944c99f39

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Phoenix, AZ

Senior

2026-05-09

AZ 2026-05-09

View full posting on CareerOneStop → ID: d73971734952

Sr Dir - HR Data Analytics

Maximus · Phoenix, AZ

Senior

2026-05-09

AZ 2026-05-09

View full posting on CareerOneStop → ID: 48127f5cacc8

Senior Business Intelligence Engineer

CenterWell · Santa Fe, NM

Senior

2026-05-09

NM 2026-05-09

View full posting on CareerOneStop → ID: c0ebb52192c9

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Santa Fe, NM

Senior

2026-05-09

NM 2026-05-09

View full posting on CareerOneStop → ID: 64f3d5da2e44

Sr Dir - HR Data Analytics

Maximus · Santa Fe, NM

Senior

2026-05-09

NM 2026-05-09

View full posting on CareerOneStop → ID: 70c9015383d6

Business Intelligence Analyst II

EchoStar · Englewood, CO

Mid-level

2026-05-09

CO 2026-05-09

View full posting on CareerOneStop → ID: cffe9cb4dcba

Master Data Analyst

Leprino Foods · Denver, CO

Mid-level

2026-05-09

CO 2026-05-09

View full posting on CareerOneStop → ID: 3bf8d2020fd5

Senior Business Intelligence Engineer

CenterWell · Denver, CO

Senior

2026-05-09

CO 2026-05-09

View full posting on CareerOneStop → ID: c5926b22a75a

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Denver, CO

Senior

2026-05-09

CO 2026-05-09

View full posting on CareerOneStop → ID: 3b2ca8d95b22

Sr Dir - HR Data Analytics

Maximus · Denver, CO

Senior

2026-05-09

CO 2026-05-09

View full posting on CareerOneStop → ID: a6beec759d26

Tech Refresh Data Analyst - TS/SCI with Polygraph

General Dynamics Information Technology · Colorado Springs, CO

Mid-level

2026-05-09

CO 2026-05-09

View full posting on CareerOneStop → ID: 5f3a01b9a29d

Senior Business Intelligence Engineer

CenterWell · Lincoln, NE

Senior

2026-05-09

NE 2026-05-09

View full posting on CareerOneStop → ID: 0457f5e28940

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Lincoln, NE

Senior

2026-05-09

NE 2026-05-09

View full posting on CareerOneStop → ID: 3835bde999c9

Sr Dir - HR Data Analytics

Maximus · Lincoln, NE

Senior

2026-05-09

NE 2026-05-09

View full posting on CareerOneStop → ID: a58463f0b70b

Senior Business Intelligence Engineer

CenterWell · Topeka, KS

Senior

2026-05-09

KS 2026-05-09

View full posting on CareerOneStop → ID: 28294d95808d

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Topeka, KS

Senior

2026-05-09

KS 2026-05-09

View full posting on CareerOneStop → ID: 65be3775ea20

Sr Dir - HR Data Analytics

Maximus · Topeka, KS

Senior

2026-05-09

KS 2026-05-09

View full posting on CareerOneStop → ID: 84657cbd1c4a

Sr. Specialist, Quality Data Analytics

Colgate-Palmolive · Topeka, KS

Senior

2026-05-09

KS 2026-05-09

View full posting on CareerOneStop → ID: 1a689b25f169

Senior Business Intelligence Engineer

CenterWell · Oklahoma City, OK

Senior

2026-05-09

OK 2026-05-09

View full posting on CareerOneStop → ID: e9968f135b4c

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Oklahoma City, OK

Senior

2026-05-09

OK 2026-05-09

View full posting on CareerOneStop → ID: eb600bfe873d

Sr Dir - HR Data Analytics

Maximus · Oklahoma City, OK

Senior

2026-05-09

OK 2026-05-09

View full posting on CareerOneStop → ID: 0dac00262920

Business Intelligence (BI) Engineer

Robert Half · Houston, TX

Mid-level

2026-05-09

TX 2026-05-09

View full posting on CareerOneStop → ID: f8cfe07af3f0

Customer Engineer, Data Analytics, Financial Services

Google · Austin, TX

Mid-level

2026-05-09

TX 2026-05-09

View full posting on CareerOneStop → ID: 87b0314a90b1

Data Analyst

PeopleReady · Del Rio, TX

Mid-level

2026-05-09

TX 2026-05-09

View full posting on CareerOneStop → ID: 7520cf5534c9

Data Analyst Sr. - Level 3

Lockheed Martin · Fort Worth, TX

Senior

2026-05-09

TX 2026-05-09

View full posting on CareerOneStop → ID: 8bcd999dcdb6

Senior Business Intelligence Engineer

CenterWell · Austin, TX

Senior

2026-05-09

TX 2026-05-09

View full posting on CareerOneStop → ID: c7c7fd373889

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Austin, TX

Senior

2026-05-09

TX 2026-05-09

View full posting on CareerOneStop → ID: a40bdb34e782

Senior Business Intelligence Engineer

CenterWell · Saint Paul, MN

Senior

2026-05-09

MN 2026-05-09

View full posting on CareerOneStop → ID: 3523b6fe4015

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Saint Paul, MN

Senior

2026-05-09

MN 2026-05-09

View full posting on CareerOneStop → ID: 173c831fb776

Senior Quality Engineer - Trending and Data Analytics

Medtronic · Mounds View, MN

Senior

2026-05-09

MN 2026-05-09

View full posting on CareerOneStop → ID: a8ce51574cb5

Sr Dir - HR Data Analytics

Maximus · Saint Paul, MN

Senior

2026-05-09

MN 2026-05-09

View full posting on CareerOneStop → ID: 7c128ffa96ba

Senior Business Intelligence Engineer

CenterWell · Des Moines, IA

Senior

2026-05-09

IA 2026-05-09

View full posting on CareerOneStop → ID: 0f0124db0dff

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Des Moines, IA

Senior

2026-05-09

IA 2026-05-09

View full posting on CareerOneStop → ID: c9b59a17ab7a

Sr Dir - HR Data Analytics

Maximus · Des Moines, IA

Senior

2026-05-09

IA 2026-05-09

View full posting on CareerOneStop → ID: a9b851b3624f

Senior Business Intelligence Engineer

CenterWell · Jefferson City, MO

Senior

2026-05-09

MO 2026-05-09

View full posting on CareerOneStop → ID: d8e597148e5d

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Jefferson City, MO

Senior

2026-05-09

MO 2026-05-09

View full posting on CareerOneStop → ID: f129afec2811

Sr Dir - HR Data Analytics

Maximus · Jefferson City, MO

Senior

2026-05-09

MO 2026-05-09

View full posting on CareerOneStop → ID: 071d8ffba9a6

Senior Business Intelligence Engineer

CenterWell · Little Rock, AR

Senior

2026-05-09

AR 2026-05-09

View full posting on CareerOneStop → ID: 376fea53c263

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Little Rock, AR

Senior

2026-05-09

AR 2026-05-09

View full posting on CareerOneStop → ID: 0e35d6752f5d

Sr Dir - HR Data Analytics

Maximus · Little Rock, AR

Senior

2026-05-09

AR 2026-05-09

View full posting on CareerOneStop → ID: 6968fc3dec1c

Senior Business Intelligence Engineer

CenterWell · Baton Rouge, LA

Senior

2026-05-09

LA 2026-05-09

View full posting on CareerOneStop → ID: 55d98001d2da

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Baton Rouge, LA

Senior

2026-05-09

LA 2026-05-09

View full posting on CareerOneStop → ID: 8be5ee3965ea

Sr Dir - HR Data Analytics

Maximus · Baton Rouge, LA

Senior

2026-05-09

LA 2026-05-09

View full posting on CareerOneStop → ID: c6ee0095b25f

Collections Data Analyst Intern

Trane Technologies · La Crosse, WI

Intern

2026-05-09

WI 2026-05-09

View full posting on CareerOneStop → ID: b663ba359fd2

Data Warehousing SQL Server Data Management Data Analysis Developer

COOLSOFT · Madison, WI

Manager

2026-05-09

WI 2026-05-09

View full posting on CareerOneStop → ID: a862e67a95b1

Senior Business Intelligence Engineer

CenterWell · Madison, WI

Senior

2026-05-09

WI 2026-05-09

View full posting on CareerOneStop → ID: 52e54cc04850

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Madison, WI

Senior

2026-05-09

WI 2026-05-09

View full posting on CareerOneStop → ID: fc767296adae

Sr Dir - HR Data Analytics

Maximus · Madison, WI

Senior

2026-05-09

WI 2026-05-09

View full posting on CareerOneStop → ID: e71e92f31d54

Customer Engineer, Data Analytics, Financial Services

Google · Chicago, IL

Mid-level

2026-05-09

IL 2026-05-09

View full posting on CareerOneStop → ID: 3159ac3f785d

Senior Business Intelligence Engineer

CenterWell · Springfield, IL

Senior

2026-05-09

IL 2026-05-09

View full posting on CareerOneStop → ID: 6921e42b8b98

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Springfield, IL

Senior

2026-05-09

IL 2026-05-09

View full posting on CareerOneStop → ID: 0c3da3e9e9a1

Sr Dir - HR Data Analytics

Maximus · Springfield, IL

Senior

2026-05-09

IL 2026-05-09

View full posting on CareerOneStop → ID: a8224251e9f5

Senior Business Intelligence Engineer

CenterWell · Jackson, MS

Senior

2026-05-09

MS 2026-05-09

View full posting on CareerOneStop → ID: b397b6356de6

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Jackson, MS

Senior

2026-05-09

MS 2026-05-09

View full posting on CareerOneStop → ID: 0462bb29e6de

Sr Dir - HR Data Analytics

Maximus · Jackson, MS

Senior

2026-05-09

MS 2026-05-09

View full posting on CareerOneStop → ID: 511826d66249

Data Analyst

TEKsystems · Huntsville, AL

Mid-level

2026-05-09

AL 2026-05-09

View full posting on CareerOneStop → ID: 303c645e61cc

Senior Business Intelligence Engineer

CenterWell · Montgomery, AL

Senior

2026-05-09

AL 2026-05-09

View full posting on CareerOneStop → ID: 1aed4ca30cb7

Sr Dir - HR Data Analytics

Maximus · Montgomery, AL

Senior

2026-05-09

AL 2026-05-09

View full posting on CareerOneStop → ID: d7eba929e771

Sustainment Data Analyst

Lockheed Martin · Huntsville, AL

Mid-level

2026-05-09

AL 2026-05-09

View full posting on CareerOneStop → ID: 52cb9e9fe19b

Sustainment Data Analyst

Lockheed Martin · Huntsville, AL

Mid-level

2026-05-09

AL 2026-05-09

View full posting on CareerOneStop → ID: 6a63736b4fda

Senior Business Intelligence Engineer

CenterWell · Nashville, TN

Senior

2026-05-09

TN 2026-05-09

View full posting on CareerOneStop → ID: 9e1369846d15

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Nashville, TN

Senior

2026-05-09

TN 2026-05-09

View full posting on CareerOneStop → ID: 4dc3c7136bd8

Sr Dir - HR Data Analytics

Maximus · Nashville, TN

Senior

2026-05-09

TN 2026-05-09

View full posting on CareerOneStop → ID: 92b75e68c725

Data Analysis Engineer

Belcan · Lexington, KY

Mid-level

2026-05-09

KY 2026-05-09

View full posting on CareerOneStop → ID: 5c0e2ff252d9

Senior Business Intelligence Engineer

CenterWell · Frankfort, KY

Senior

2026-05-09

KY 2026-05-09

View full posting on CareerOneStop → ID: 7a46afb74815

Senior Data Analyst, Finance Digital Solutions

Cardinal Health · Frankfort, KY

Senior

2026-05-09

KY 2026-05-09

View full posting on CareerOneStop → ID: 6fb90bea964a

Sr Dir - HR Data Analytics

Maximus · Frankfort, KY

Senior

2026-05-09

KY 2026-05-09

View full posting on CareerOneStop → ID: 43b646164da0

Global Product Scheduling Integration Data Analyst

Google · Seattle, WA

Mid-level Master's

2026-05-08

WA 2026-05-08

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience in program or project management.
5 years of experience in managing full life cycle data center construction planning.
5 years of experience in primavera P6 enterprise project portfolio management.
5 years of experience in data analysis.

Preferred

Master's degree or MBA.
7 years of experience in managing full life cycle data center construction planning.
7 years of experience in primavera P6 enterprise project portfolio management.
7 years of experience in data analysis.

Responsibilities

A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
In this role, you will own the integrity and strategic planning of our entire product portfolio. You will operate at the intersection of program management, engineering strategy, and advanced analytics. You will orchestrate the planning architecture for our most complex product configurations, partnering with the executive team leads to drive logic based design schedules. Simultaneously, you will serve as the portfolio's data analyst, using advanced milestone-to-milestone forensics to generate predictive insights. You will carry the mandate to enforce schedule governance, possessing the authority to reject green-shifted plans and ensure that organizational decisions are based on mathematical reality, not optimism.
The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.
The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Lead the end-to-end schedule strategy for New Product Introduction (NPI) and refinements. Define the logic strategy that integrates design and engineering across multi-variant product configurations.
Partner with executive team leads and engineering groups to translate high-level product roadmaps into executable, resource loaded schedules.
Establish the standard for how product variants are modeled in the schedule. Ensure that dependencies between common core components and unique configuration elements are mathematically sound.
Conduct analysis into the velocity between critical milestones. Identify systemic drag factors that are invisible at the surface level and quantify their impact on the bottom line.
Transform raw schedule data into high-level strategic narratives. Present these insights directly to leadership, highlighting risks that require immediate executive intervention.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: 93d5e0e2fad1

Data Analyst Intern - Remote

Sharecare · Olympia, WA

Intern Bachelor's

2026-05-08

WA 2026-05-08

Requirements

Currently pursuing an undergraduate degree in Business, Data Analytics, Healthcare Administration, or a related field
Minimum GPA of 3.0
Proficiency in Microsoft Office applications, with strong Excel and PowerPoint skills preferred
Previous work experience or meaningful extracurricular involvement preferred
*Key Skills & Attributes
Strong written and verbal communication skills
Ability to work effectively in a collaborative team environment
Strong organizational and problem-solving skills
Ability to learn quickly and adapt to new processes
Self-motivated with a strong work ethic and ability to take initiative
Exposure to SQL, data analysis tools, or healthcare data is a pluS

Responsibilities

Sharecare is the leading digital health company that helps people-no matter where they are in their health journey-unify and manage all their health in one place. Our comprehensive, data-driven virtual health platform is designed to help people, providers, employers, health plans, government organizations, and communities optimize individual and population-wide well-being by driving positive behavior change. Driven by our philosophy that we are all together better, Sharecare is committed to supporting each individual through the lens of their personal health and making high-quality care more accessible and affordable for everyone. To learn more, visit www.sharecare.com.
The Data Analyst Intern will support the Sharecare Clinical, Billing, and Extract team. This role will assist in developing a standardized intake process for new work requests, including billing rule enhancements and data extract requests. The intern will play a key role in improving the consistency, clarity, and efficiency of how new work is requested, documented, and tracked.
Essential Functions
Define, document, and consolidate existing capabilities across billing and extract functions
Assist in designing and maintaining a standardized intake/request form to improve clarity and efficiency in ticket submission
Support the intake and lifecycle management of new requests, including documentation and communication
Partner with stakeholders to facilitate accurate and complete request submissions
Collaborate cross-functionally with team members to ensure alignment and effective delivery of requests

View full posting on CareerOneStop → ID: 44b79651b73e

Director, Business Intelligence

Humana · Olympia, WA

Director Master's

2026-05-08

WA 2026-05-08

Requirements

10+ years of business intelligence experience with 7+ years focused on web analytics and customer onboarding
5 or more years of leadership experience
Experience delivering insights around web analytics and customer engagement across digital channels supporting retail and/or clinical operations
Strong understanding of measurement strategies around:
Shopping funnel performance supporting retail pharmacy operations
Experience with provider/clinical measurements strategy and outcomes
Feature Performance and Testing
Relationship between marketing activities and sales outcomes
Web tagging and digital activity monitoring
Excellent communication skills with the ability to influence cross-functional teams and present to senior leadership
Experience working inside of Agile methodologies along side product, design, and engineering teams
Experience leading teams using Adobe's Customer Journey Analytics platform and PowerBI

Preferred

MBA or graduate degree in a management field
Experience in the healthcare of insurance industry
Experience with retail pharmacy and provider operations
Experience with Quantum Metrics Digital Analytics Platform
*Work-At-Home Information
To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

View full posting on CareerOneStop → ID: 2e2e285a240a

Data Analyst Intern - Remote

Sharecare · Boise, ID

Intern

2026-05-08

ID 2026-05-08

View full posting on CareerOneStop → ID: f0d349f0e4ba

Director, Business Intelligence

Humana · Boise, ID

Director

2026-05-08

ID 2026-05-08

View full posting on CareerOneStop → ID: 48a333c0c878

Appraisal Data Analyst I and II

Bannock County · Pocatello, ID

Entry-level

2026-05-08

ID 2026-05-08

View full posting on CareerOneStop → ID: 76efae338a12

Data Analyst Intern - Remote

Sharecare · Salem, OR

Intern

2026-05-08

OR 2026-05-08

View full posting on CareerOneStop → ID: 8f59dd915ab0

Director, Business Intelligence

Humana · Salem, OR

Director

2026-05-08

OR 2026-05-08

View full posting on CareerOneStop → ID: f0fcc400088e

Data Analyst Intern - Remote

Sharecare · Helena, MT

Intern

2026-05-08

MT 2026-05-08

View full posting on CareerOneStop → ID: b11e64a785dd

Director, Business Intelligence

Humana · Helena, MT

Director

2026-05-08

MT 2026-05-08

View full posting on CareerOneStop → ID: 4497cc777099

Data Analyst Intern - Remote

Sharecare · Cheyenne, WY

Intern

2026-05-08

WY 2026-05-08

View full posting on CareerOneStop → ID: 610c4b8dd847

Director, Business Intelligence

Humana · Cheyenne, WY

Director

2026-05-08

WY 2026-05-08

View full posting on CareerOneStop → ID: cb554b08a29c

Data Analyst Intern - Remote

Sharecare · Salt Lake City, UT

Intern

2026-05-08

UT 2026-05-08

View full posting on CareerOneStop → ID: e3fbe1886722

Director, Business Intelligence

Humana · Salt Lake City, UT

Director

2026-05-08

UT 2026-05-08

View full posting on CareerOneStop → ID: 4e9aa3087dbe

Data Analyst Intern - Remote

Sharecare · Carson City, NV

Intern

2026-05-08

NV 2026-05-08

View full posting on CareerOneStop → ID: c2b169d6639b

Director, Business Intelligence

Humana · Carson City, NV

Director

2026-05-08

NV 2026-05-08

View full posting on CareerOneStop → ID: 97f1cc7e319e

Data Analyst Intern - Remote

Sharecare · Bismarck, ND

Intern

2026-05-08

ND 2026-05-08

View full posting on CareerOneStop → ID: df4231dbeb37

Director, Business Intelligence

Humana · Bismarck, ND

Director

2026-05-08

ND 2026-05-08

View full posting on CareerOneStop → ID: bb86ac87a9ee

Data Analyst Intern - Remote

Sharecare · Pierre, SD

Intern

2026-05-08

SD 2026-05-08

View full posting on CareerOneStop → ID: 8593c9d0dde9

Director, Business Intelligence

Humana · Pierre, SD

Director

2026-05-08

SD 2026-05-08

View full posting on CareerOneStop → ID: 117fb61b68b1

Human Resources Data Analyst

Sanford Health · Sioux Falls, SD

Mid-level

2026-05-08

SD 2026-05-08

View full posting on CareerOneStop → ID: cf4acaf9f9be

Data Analyst Intern - Remote

Sharecare · Phoenix, AZ

Intern

2026-05-08

AZ 2026-05-08

View full posting on CareerOneStop → ID: 4c202f27a426

Director, Business Intelligence

Humana · Phoenix, AZ

Director

2026-05-08

AZ 2026-05-08

View full posting on CareerOneStop → ID: dd341d44a501

Data Analyst Intern - Remote

Sharecare · Santa Fe, NM

Intern

2026-05-08

NM 2026-05-08

View full posting on CareerOneStop → ID: 5a99f8569acb

Director, Business Intelligence

Humana · Santa Fe, NM

Director

2026-05-08

NM 2026-05-08

View full posting on CareerOneStop → ID: 815bf11baf88

Data Analyst Intern - Remote

Sharecare · Denver, CO

Intern

2026-05-08

CO 2026-05-08

View full posting on CareerOneStop → ID: 74f74fc6c902

Director, Business Intelligence

Humana · Denver, CO

Director

2026-05-08

CO 2026-05-08

View full posting on CareerOneStop → ID: d0129e41f738

Specialist, Technical Documentation And Data Analysis

Actalent · Broomfield, CO

Mid-level

2026-05-08

CO 2026-05-08

View full posting on CareerOneStop → ID: 04e14e6a9ab6

Data Analyst Intern - Remote

Sharecare · Lincoln, NE

Intern

2026-05-08

NE 2026-05-08

View full posting on CareerOneStop → ID: 21c0692eadc3

Director, Business Intelligence

Humana · Lincoln, NE

Director

2026-05-08

NE 2026-05-08

View full posting on CareerOneStop → ID: 8f77d50a6f12

Data Analyst Intern - Remote

Sharecare · Topeka, KS

Intern

2026-05-08

KS 2026-05-08

View full posting on CareerOneStop → ID: 1296a43492a1

Director, Business Intelligence

Humana · Topeka, KS

Director

2026-05-08

KS 2026-05-08

View full posting on CareerOneStop → ID: 3d4d0851bf5f

Distribution Data Analyst

Newell Rubbermaid, Inc. · Winfield, KS

Mid-level

2026-05-08

KS 2026-05-08

View full posting on CareerOneStop → ID: 12731f90da4b

Data Analyst Intern - Remote

Sharecare · Oklahoma City, OK

Intern

2026-05-08

OK 2026-05-08

View full posting on CareerOneStop → ID: cd16cb36148e

Director, Business Intelligence

Humana · Oklahoma City, OK

Director

2026-05-08

OK 2026-05-08

View full posting on CareerOneStop → ID: ec5ff3cb1e62

Data Analyst II, IFP

UnitedHealth Group · Minnetonka, MN

Mid-level

2026-05-08

MN 2026-05-08

View full posting on CareerOneStop → ID: 2d57c01076bc

Data Analyst Intern - Remote

Sharecare · Saint Paul, MN

Intern

2026-05-08

MN 2026-05-08

View full posting on CareerOneStop → ID: f7d12bc092f0

Director, Business Intelligence

Humana · Saint Paul, MN

Director

2026-05-08

MN 2026-05-08

View full posting on CareerOneStop → ID: a575e23f8942

Data Analyst Intern - Remote

Sharecare · Des Moines, IA

Intern

2026-05-08

IA 2026-05-08

View full posting on CareerOneStop → ID: 7141ad6cf7cd

Director, Business Intelligence

Humana · Des Moines, IA

Director

2026-05-08

IA 2026-05-08

View full posting on CareerOneStop → ID: 06b295b38eec

Data Analyst Intern - Remote

Sharecare · Jefferson City, MO

Intern

2026-05-08

MO 2026-05-08

View full posting on CareerOneStop → ID: 3a3caaf52b87

Director, Business Intelligence

Humana · Jefferson City, MO

Director

2026-05-08

MO 2026-05-08

View full posting on CareerOneStop → ID: 884b8fca6939

Lead Project Data Analytics Management Specialist

The Boeing Company · Saint Charles, MO

Manager

2026-05-08

MO 2026-05-08

View full posting on CareerOneStop → ID: 07969305d708

Systems and Data Analyst 4

PDS Defense · Berkeley, MO

Mid-level

2026-05-08

MO 2026-05-08

View full posting on CareerOneStop → ID: de6bb17da5b8

Data Analyst Intern - Remote

Sharecare · Little Rock, AR

Intern

2026-05-08

AR 2026-05-08

View full posting on CareerOneStop → ID: ca165b255e39

Director, Business Intelligence

Humana · Little Rock, AR

Director

2026-05-08

AR 2026-05-08

View full posting on CareerOneStop → ID: 07ff8d7a08e0

Manager, Data Analytics

Walmart · Bentonville, AR

Manager

2026-05-08

AR 2026-05-08

View full posting on CareerOneStop → ID: a1be839f7e92

Manager, Data Analytics

Walmart · Bentonville, AR

Manager

2026-05-08

AR 2026-05-08

View full posting on CareerOneStop → ID: efedf131413c

Principal, Data Analyst

Walmart · Bentonville, AR

Senior

2026-05-08

AR 2026-05-08

View full posting on CareerOneStop → ID: 18ca8ad95ac7

Senior Manager, Data Analytics

Walmart · Bentonville, AR

Manager

2026-05-08

AR 2026-05-08

View full posting on CareerOneStop → ID: d0af0850ef65

Senior, Data Analyst

Walmart · Bentonville, AR

Senior

2026-05-08

AR 2026-05-08

View full posting on CareerOneStop → ID: 8192f318a056

Data Analyst Intern - Remote

Sharecare · Baton Rouge, LA

Intern

2026-05-08

LA 2026-05-08

View full posting on CareerOneStop → ID: c86aa40c86ed

Director, Business Intelligence

Humana · Baton Rouge, LA

Director

2026-05-08

LA 2026-05-08

View full posting on CareerOneStop → ID: 71dd88bcec23

BUSINESS INTELLIGENCE DEVELOPER - BUSINESS INTELLIGENCE

Aspirus Ironwood Hospital · Wausau, WI

Mid-level

2026-05-08

WI 2026-05-08

View full posting on CareerOneStop → ID: 33242d1ae264

Data Analyst Intern - Remote

Sharecare · Madison, WI

Intern

2026-05-08

WI 2026-05-08

View full posting on CareerOneStop → ID: 9ff0dfc10f3c

Director, Business Intelligence

Humana · Madison, WI

Director

2026-05-08

WI 2026-05-08

View full posting on CareerOneStop → ID: a1c8be6a0959

Senior Product Data Analyst (Hybrid)

American Family Insurance - Corporate · Madison, WI

Senior

2026-05-08

WI 2026-05-08

View full posting on CareerOneStop → ID: c5a1a40c3898

Data Analyst & GenAI Specialist, Enterprise AI

GE HealthCare · Chicago, IL

Mid-level

2026-05-08

IL 2026-05-08

View full posting on CareerOneStop → ID: 5d08efabc530

Data Analyst & GenAI Specialist, Enterprise AI

GE HealthCare · Springfield, IL

Mid-level

2026-05-08

IL 2026-05-08

View full posting on CareerOneStop → ID: 383baba8033c

Data Analyst II, IFP

UnitedHealth Group · Chicago, IL

Mid-level

2026-05-08

IL 2026-05-08

View full posting on CareerOneStop → ID: ac13866ec20a

Data Analyst Intern - Remote

Sharecare · Springfield, IL

Intern

2026-05-08

IL 2026-05-08

View full posting on CareerOneStop → ID: 87f8ffa1899a

Director, Business Intelligence

Humana · Springfield, IL

Director

2026-05-08

IL 2026-05-08

View full posting on CareerOneStop → ID: ecd796259787

Global Product Scheduling Integration Data Analyst

Google · Chicago, IL

Mid-level

2026-05-08

IL 2026-05-08

View full posting on CareerOneStop → ID: 536eb70f981b

Surest Senior Data Analyst

UnitedHealth Group · Chicago, IL

Senior

2026-05-08

IL 2026-05-08

View full posting on CareerOneStop → ID: 2b386c81f95f

Data Analyst Intern - Remote

Sharecare · Jackson, MS

Intern

2026-05-08

MS 2026-05-08

View full posting on CareerOneStop → ID: 9b8428a92920

Director, Business Intelligence

Humana · Jackson, MS

Director

2026-05-08

MS 2026-05-08

View full posting on CareerOneStop → ID: 3b9041eb0a05

Data Analyst Intern - Remote

Sharecare · Montgomery, AL

Intern

2026-05-08

AL 2026-05-08

View full posting on CareerOneStop → ID: 5e14ec822fd6

Director, Business Intelligence

Humana · Montgomery, AL

Director

2026-05-08

AL 2026-05-08

View full posting on CareerOneStop → ID: 811675f50f35

Data Analyst Intern - Remote

Sharecare · Nashville, TN

Intern

2026-05-08

TN 2026-05-08

View full posting on CareerOneStop → ID: 0be4354b65d6

Director, Business Intelligence

Humana · Nashville, TN

Director

2026-05-08

TN 2026-05-08

View full posting on CareerOneStop → ID: f77126ede402

Senior Data analyst

UnitedHealth Group · Brentwood, TN

Senior

2026-05-08

TN 2026-05-08

View full posting on CareerOneStop → ID: aa161d3af6ca

Data Analyst Intern - Remote

Sharecare · Frankfort, KY

Intern

2026-05-08

KY 2026-05-08

View full posting on CareerOneStop → ID: 7dd90e94475f

Director, Business Intelligence

Humana · Frankfort, KY

Director

2026-05-08

KY 2026-05-08

View full posting on CareerOneStop → ID: c930fa61b70f

Master Data Analyst

Robert Half · Erlanger, KY

Mid-level

2026-05-08

KY 2026-05-08

View full posting on CareerOneStop → ID: 9231225f7342

Director, Business Intelligence

Humana · Sacramento, CA

Director

2026-05-08

WA 2026-05-08

View full posting on CareerOneStop → ID: 636db86842bb

Sr. Data Analyst, Financial Analytics

Sunrun · San Francisco, CA

Senior

2026-05-08

WA 2026-05-08

View full posting on CareerOneStop → ID: 5ae7b770c90c

Business Intelligence Engineer, Amazon Autos

Amazon · Seattle, WA

Mid-level

2026-05-07

WA 2026-05-07

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data modeling, warehousing and building ETL pipelines
Experience in writing complex, highly-optimized SQL queries across large datasets
Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience visualizing data in Tableau or other relevant data visualization software

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Partner with stakeholders: Gather requirements and deliver end-to-end BI solutions (dashboards, data models, reporting) that address key business needs.
Build scalable data solutions: Design and maintain ETL pipelines and data models using SQL and scripting languages to integrate data from multiple sources (e.g., Redshift, Oracle).
Insights & decision support: Analyze performance trends, identify key drivers, and deliver actionable, data-driven recommendations to inform strategy and planning.
Ensure data quality & rigor: Apply best practices in data integrity, validation, experiment design, and documentation to maintain a trusted data source.
Innovate with data & AI: Evaluate and implement new data technologies and AI-driven approaches to automate insights and improve decision-making efficiency.
This role supports the Ads Autos strategic finance and business leadership teams to drive informed decision making.
You will support the Ads Autos Store with robust data needs that span various business domains which are all related to a new line of business for Amazon
Our team supports multiple reporting mechanisms, including development of systems on AWS, micro services, and pipelines

View full posting on CareerOneStop → ID: 5826262ee84c

Business Intelligence Engineer, AMXL (Amazon Extra Large) Inbound Analytics

Amazon · Bellevue, WA

Mid-level Master's

2026-05-07

WA 2026-05-07

Requirements

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)

Preferred

Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis

Responsibilities

Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).
Analyze and visualize large scale geo-spatial logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.
Serve as liaison between operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
Maintain and develop data pipeline for NA region
Automate and improve existing manual processes
Create tools to help deep diving and investigations into operations execution and business problems
Analyze and visualize large scale logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.
Standardize processes and bring parity across regions and business teams.
As a Busines Intelligence Engineer, you are responsible for identifying key metrics and creating reports to increase understanding of the business, proactively identifying pain points or opportunities through systemic measurement. You will be detail oriented, and demonstrate expertise in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders. You will blend advanced reporting with strong critical thinking and project management skills. In addition to the key responsibilities you will:
Partner with Data Engineering and Software Development Engineers to prioritize and define AMXL data and BI development needs.
Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects.
Serve as liaison between North America and Europe teams to ensure seamless communication and collaboration as well as standardizing processes across the globe to drive efficiency and effectiveness.
Implement end to end reporting for the worldwide operational teams to highlight improvement opportunities.

View full posting on CareerOneStop → ID: 14cd3b005154

Business Intelligence Engineer, IMDb

Amazon · Seattle, WA

Mid-level Bachelor's

2026-05-07

WA 2026-05-07

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
Demonstrable experience leveraging AI to accelerate insight generation
Excellent verbal and written communication skills, with the ability to convey key insights from complex analysis in summarized business terms, while also being able to effectively communicate with technical teams

Responsibilities

Partner with cross-functional teams to solve complex business problems and deliver integrated data solutions that inform product investment and business strategy
Apply AI tools and techniques to accelerate analysis and deepen business understanding
Create scalable and insightful data solutions (dashboards, models, extracts) to answer key business questions
Identify opportunities to improve or automate large-scale data analyses, statistics, and visualization solutions
Implement data quality processes to ensure accuracy, consistency, and reliability of BI systems
Build and manage weekly, monthly, and quarterly business review metrics
Lead BI projects independently end-to-end
Share your insights and learnings broadly, through team demos, cross-team learning sessions, and senior leadership discussions

View full posting on CareerOneStop → ID: 734d9cfa8cb8

Metrics Data Analyst-Washington DC

Serco · Bremerton, WA

Mid-level Bachelor's

2026-05-07

WA 2026-05-07

Requirements

If you love high profile and challenging programing projects supporting the US Navy- Serco has a great opportunity for you! We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard operations, readiness, and maintenance, and knows how to guide the development of impactful dashboards.
You won't just build dashboards-you'll shape what data matters most and how it should be presented working in the Washington DC metro area.
This individual will play a vital role in engaging senior Navy leaders, leveraging their comprehensive understanding of shipboard operations and their ability to provide valuable insights through data analysis. Ideally, we are seeking a candidate who has served onboard ships, in a shipyard environment and/or with past experience working on Navy maintenance metrics and analytics, particularly someone with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment.
In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued.
In this role, you will:
Apply shipboard maintenance experience and data analytics expertise to support the chain of command from senior Navy leaders to waterfront project managers and specialists in making informed ships maintenance and logistics decisions.
Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources.Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings.
Develop data-driven reports, briefings, and presentations for senior Navy leadership.Translate complex technical data into executive-level insights, reports, and recommendations.
Support the development of metrics frameworks, ensuring alignment with Fleet and Headquarters strategic objectives.
Foster strong working relationships with Navy personnel and stakeholders to ensure data analytics efforts align with organizational objectives
Provide strategic guidance on the design and application of dashboards in Power BI, Tableau, and Jupyter.
Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials.
To be successful in this role, you must have:
Bachelor's Degree and 6 years of relevant experience
US citizenship and an active DoD Secret Security clearance
Strong background in data analytics, including experience with statistical analysis, data visualization, and advanced analytic techniques in a DOD setting.
Proficiency in leveraging data to support decision-making processes and drive operational improvements.
Excellent communication skills, with the ability to effectively convey complex data insights to senior Navy leaders.
Familiarity with data sources and systems commonly used in the naval environment.
Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.).
Experience with data visualization using Qlik and/or Tableau.
Minimal 10% travel is expected.

Preferred

NAVSEA or Navy experience.
Experience with Depot-level Overhaul, Maintenance and Modernization activities.
Algorithm writing experience with Python and similar AI / ML languages desired.
Familiarity with Navy maintenance and readiness data systems (e.g., OARS, VSB, CASREP, or equivalent)DoD experience required or Naval surface ship experience preferably
Education or certification in data analytics, computer science, or a related field is preferred.
If you are interested in supporting and working with our NAVSEA efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career!

View full posting on CareerOneStop → ID: 1217b69af146

Metrics Data Analyst-Washington DC

Serco · Silverdale, WA

Mid-level Bachelor's

2026-05-07

WA 2026-05-07

Requirements

If you love high profile and challenging programing projects supporting the US Navy- Serco has a great opportunity for you! We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard operations, readiness, and maintenance, and knows how to guide the development of impactful dashboards.
You won't just build dashboards-you'll shape what data matters most and how it should be presented working in the Washington DC metro area.
This individual will play a vital role in engaging senior Navy leaders, leveraging their comprehensive understanding of shipboard operations and their ability to provide valuable insights through data analysis. Ideally, we are seeking a candidate who has served onboard ships, in a shipyard environment and/or with past experience working on Navy maintenance metrics and analytics, particularly someone with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment.
In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued.
In this role, you will:
Apply shipboard maintenance experience and data analytics expertise to support the chain of command from senior Navy leaders to waterfront project managers and specialists in making informed ships maintenance and logistics decisions.
Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources.Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings.
Develop data-driven reports, briefings, and presentations for senior Navy leadership.Translate complex technical data into executive-level insights, reports, and recommendations.
Support the development of metrics frameworks, ensuring alignment with Fleet and Headquarters strategic objectives.
Foster strong working relationships with Navy personnel and stakeholders to ensure data analytics efforts align with organizational objectives
Provide strategic guidance on the design and application of dashboards in Power BI, Tableau, and Jupyter.
Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials.
To be successful in this role, you must have:
Bachelor's Degree and 6 years of relevant experience
US citizenship and an active DoD Secret Security clearance
Strong background in data analytics, including experience with statistical analysis, data visualization, and advanced analytic techniques in a DOD setting.
Proficiency in leveraging data to support decision-making processes and drive operational improvements.
Excellent communication skills, with the ability to effectively convey complex data insights to senior Navy leaders.
Familiarity with data sources and systems commonly used in the naval environment.
Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.).
Experience with data visualization using Qlik and/or Tableau.
Minimal 10% travel is expected.

Preferred

NAVSEA or Navy experience.
Experience with Depot-level Overhaul, Maintenance and Modernization activities.
Algorithm writing experience with Python and similar AI / ML languages desired.
Familiarity with Navy maintenance and readiness data systems (e.g., OARS, VSB, CASREP, or equivalent)DoD experience required or Naval surface ship experience preferably
Education or certification in data analytics, computer science, or a related field is preferred.
If you are interested in supporting and working with our NAVSEA efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career!

View full posting on CareerOneStop → ID: 5c70d54fbc80

Metrics Data Analyst-Washington DC

Serco · Bainbridge Island, WA

Mid-level Bachelor's

2026-05-07

WA 2026-05-07

Requirements

If you love high profile and challenging programing projects supporting the US Navy- Serco has a great opportunity for you! We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard operations, readiness, and maintenance, and knows how to guide the development of impactful dashboards.
You won't just build dashboards-you'll shape what data matters most and how it should be presented working in the Washington DC metro area.
This individual will play a vital role in engaging senior Navy leaders, leveraging their comprehensive understanding of shipboard operations and their ability to provide valuable insights through data analysis. Ideally, we are seeking a candidate who has served onboard ships, in a shipyard environment and/or with past experience working on Navy maintenance metrics and analytics, particularly someone with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment.
In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued.
In this role, you will:
Apply shipboard maintenance experience and data analytics expertise to support the chain of command from senior Navy leaders to waterfront project managers and specialists in making informed ships maintenance and logistics decisions.
Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources.Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings.
Develop data-driven reports, briefings, and presentations for senior Navy leadership.Translate complex technical data into executive-level insights, reports, and recommendations.
Support the development of metrics frameworks, ensuring alignment with Fleet and Headquarters strategic objectives.
Foster strong working relationships with Navy personnel and stakeholders to ensure data analytics efforts align with organizational objectives
Provide strategic guidance on the design and application of dashboards in Power BI, Tableau, and Jupyter.
Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials.
To be successful in this role, you must have:
Bachelor's Degree and 6 years of relevant experience
US citizenship and an active DoD Secret Security clearance
Strong background in data analytics, including experience with statistical analysis, data visualization, and advanced analytic techniques in a DOD setting.
Proficiency in leveraging data to support decision-making processes and drive operational improvements.
Excellent communication skills, with the ability to effectively convey complex data insights to senior Navy leaders.
Familiarity with data sources and systems commonly used in the naval environment.
Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.).
Experience with data visualization using Qlik and/or Tableau.
Minimal 10% travel is expected.

Preferred

NAVSEA or Navy experience.
Experience with Depot-level Overhaul, Maintenance and Modernization activities.
Algorithm writing experience with Python and similar AI / ML languages desired.
Familiarity with Navy maintenance and readiness data systems (e.g., OARS, VSB, CASREP, or equivalent)DoD experience required or Naval surface ship experience preferably
Education or certification in data analytics, computer science, or a related field is preferred.
If you are interested in supporting and working with our NAVSEA efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career!

View full posting on CareerOneStop → ID: 42a5c07726b5

Metrics Data Analyst-Washington DC

Serco · Bothell, WA

Mid-level Bachelor's

2026-05-07

WA 2026-05-07

Requirements

If you love high profile and challenging programing projects supporting the US Navy- Serco has a great opportunity for you! We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard operations, readiness, and maintenance, and knows how to guide the development of impactful dashboards.
You won't just build dashboards-you'll shape what data matters most and how it should be presented working in the Washington DC metro area.
This individual will play a vital role in engaging senior Navy leaders, leveraging their comprehensive understanding of shipboard operations and their ability to provide valuable insights through data analysis. Ideally, we are seeking a candidate who has served onboard ships, in a shipyard environment and/or with past experience working on Navy maintenance metrics and analytics, particularly someone with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment.
In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued.
In this role, you will:
Apply shipboard maintenance experience and data analytics expertise to support the chain of command from senior Navy leaders to waterfront project managers and specialists in making informed ships maintenance and logistics decisions.
Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources.Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings.
Develop data-driven reports, briefings, and presentations for senior Navy leadership.Translate complex technical data into executive-level insights, reports, and recommendations.
Support the development of metrics frameworks, ensuring alignment with Fleet and Headquarters strategic objectives.
Foster strong working relationships with Navy personnel and stakeholders to ensure data analytics efforts align with organizational objectives
Provide strategic guidance on the design and application of dashboards in Power BI, Tableau, and Jupyter.
Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials.
To be successful in this role, you must have:
Bachelor's Degree and 6 years of relevant experience
US citizenship and an active DoD Secret Security clearance
Strong background in data analytics, including experience with statistical analysis, data visualization, and advanced analytic techniques in a DOD setting.
Proficiency in leveraging data to support decision-making processes and drive operational improvements.
Excellent communication skills, with the ability to effectively convey complex data insights to senior Navy leaders.
Familiarity with data sources and systems commonly used in the naval environment.
Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.).
Experience with data visualization using Qlik and/or Tableau.
Minimal 10% travel is expected.

Preferred

NAVSEA or Navy experience.
Experience with Depot-level Overhaul, Maintenance and Modernization activities.
Algorithm writing experience with Python and similar AI / ML languages desired.
Familiarity with Navy maintenance and readiness data systems (e.g., OARS, VSB, CASREP, or equivalent)DoD experience required or Naval surface ship experience preferably
Education or certification in data analytics, computer science, or a related field is preferred.
If you are interested in supporting and working with our NAVSEA efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career!

View full posting on CareerOneStop → ID: 8a68ca74eb07

Sr. Business Intelligence Engineer, Amazon Publisher Monetization, Analytics

Amazon · Seattle, WA

Senior

2026-05-07

WA 2026-05-07

Requirements

Experience working as a BIE in a technology company
5+ years of professional or military experience
5+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Experience with AI/ML technologies

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
Knowledge of digital advertising or search advertising or analytics solutions (e.g. Google Analytics)

Responsibilities

Own end-to-end business intelligence for Live Events, from data modeling through executive-ready insights
Build deep monetization domain expertise to proactively surface opportunities the business isn't yet asking about
Partner with Product, Business Development, and Executive leadership to translate data into go-to-market strategies and publisher actions with measurable business impact
Conduct deep-dive analyses of business problems, formulate recommendations, and present to senior leadership
Build and architect AI-powered analytics experiences (conversational agents, prompt-driven interfaces) using LLMs and generative AI
Define the analytics roadmap for your business area - identify what to build, what to deprecate, and where AI can replace manual workflows
Mentor BIEs and raise the technical bar for analytics quality, tooling, and methodology across the team
Design scalable, reusable applications and data models

View full posting on CareerOneStop → ID: e79b1f1f59b3

Metrics Data Analyst-Washington DC

Serco · Centralia, WA

Mid-level Bachelor's

2026-05-07

WA 2026-05-07

Requirements

If you love high profile and challenging programing projects supporting the US Navy- Serco has a great opportunity for you! We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard operations, readiness, and maintenance, and knows how to guide the development of impactful dashboards.
You won't just build dashboards-you'll shape what data matters most and how it should be presented working in the Washington DC metro area.
This individual will play a vital role in engaging senior Navy leaders, leveraging their comprehensive understanding of shipboard operations and their ability to provide valuable insights through data analysis. Ideally, we are seeking a candidate who has served onboard ships, in a shipyard environment and/or with past experience working on Navy maintenance metrics and analytics, particularly someone with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment.
In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued.
In this role, you will:
Apply shipboard maintenance experience and data analytics expertise to support the chain of command from senior Navy leaders to waterfront project managers and specialists in making informed ships maintenance and logistics decisions.
Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources.Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings.
Develop data-driven reports, briefings, and presentations for senior Navy leadership.Translate complex technical data into executive-level insights, reports, and recommendations.
Support the development of metrics frameworks, ensuring alignment with Fleet and Headquarters strategic objectives.
Foster strong working relationships with Navy personnel and stakeholders to ensure data analytics efforts align with organizational objectives
Provide strategic guidance on the design and application of dashboards in Power BI, Tableau, and Jupyter.
Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials.
To be successful in this role, you must have:
Bachelor's Degree and 6 years of relevant experience
US citizenship and an active DoD Secret Security clearance
Strong background in data analytics, including experience with statistical analysis, data visualization, and advanced analytic techniques in a DOD setting.
Proficiency in leveraging data to support decision-making processes and drive operational improvements.
Excellent communication skills, with the ability to effectively convey complex data insights to senior Navy leaders.
Familiarity with data sources and systems commonly used in the naval environment.
Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.).
Experience with data visualization using Qlik and/or Tableau.
Minimal 10% travel is expected.

Preferred

NAVSEA or Navy experience.
Experience with Depot-level Overhaul, Maintenance and Modernization activities.
Algorithm writing experience with Python and similar AI / ML languages desired.
Familiarity with Navy maintenance and readiness data systems (e.g., OARS, VSB, CASREP, or equivalent)DoD experience required or Naval surface ship experience preferably
Education or certification in data analytics, computer science, or a related field is preferred.
If you are interested in supporting and working with our NAVSEA efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career!

View full posting on CareerOneStop → ID: eb7625c71b36

Metrics Data Analyst-Washington DC

Serco · Arlington, WA

Mid-level Bachelor's

2026-05-07

WA 2026-05-07

Requirements

If you love high profile and challenging programing projects supporting the US Navy- Serco has a great opportunity for you! We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard operations, readiness, and maintenance, and knows how to guide the development of impactful dashboards.
You won't just build dashboards-you'll shape what data matters most and how it should be presented working in the Washington DC metro area.
This individual will play a vital role in engaging senior Navy leaders, leveraging their comprehensive understanding of shipboard operations and their ability to provide valuable insights through data analysis. Ideally, we are seeking a candidate who has served onboard ships, in a shipyard environment and/or with past experience working on Navy maintenance metrics and analytics, particularly someone with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment.
In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued.
In this role, you will:
Apply shipboard maintenance experience and data analytics expertise to support the chain of command from senior Navy leaders to waterfront project managers and specialists in making informed ships maintenance and logistics decisions.
Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources.Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings.
Develop data-driven reports, briefings, and presentations for senior Navy leadership.Translate complex technical data into executive-level insights, reports, and recommendations.
Support the development of metrics frameworks, ensuring alignment with Fleet and Headquarters strategic objectives.
Foster strong working relationships with Navy personnel and stakeholders to ensure data analytics efforts align with organizational objectives
Provide strategic guidance on the design and application of dashboards in Power BI, Tableau, and Jupyter.
Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials.
To be successful in this role, you must have:
Bachelor's Degree and 6 years of relevant experience
US citizenship and an active DoD Secret Security clearance
Strong background in data analytics, including experience with statistical analysis, data visualization, and advanced analytic techniques in a DOD setting.
Proficiency in leveraging data to support decision-making processes and drive operational improvements.
Excellent communication skills, with the ability to effectively convey complex data insights to senior Navy leaders.
Familiarity with data sources and systems commonly used in the naval environment.
Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.).
Experience with data visualization using Qlik and/or Tableau.
Minimal 10% travel is expected.

Preferred

NAVSEA or Navy experience.
Experience with Depot-level Overhaul, Maintenance and Modernization activities.
Algorithm writing experience with Python and similar AI / ML languages desired.
Familiarity with Navy maintenance and readiness data systems (e.g., OARS, VSB, CASREP, or equivalent)DoD experience required or Naval surface ship experience preferably
Education or certification in data analytics, computer science, or a related field is preferred.
If you are interested in supporting and working with our NAVSEA efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career!

View full posting on CareerOneStop → ID: 976a8b1ade37

Metrics Data Analyst-Washington DC

Serco · Anacortes, WA

Mid-level Bachelor's

2026-05-07

WA 2026-05-07

Requirements

If you love high profile and challenging programing projects supporting the US Navy- Serco has a great opportunity for you! We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard operations, readiness, and maintenance, and knows how to guide the development of impactful dashboards.
You won't just build dashboards-you'll shape what data matters most and how it should be presented working in the Washington DC metro area.
This individual will play a vital role in engaging senior Navy leaders, leveraging their comprehensive understanding of shipboard operations and their ability to provide valuable insights through data analysis. Ideally, we are seeking a candidate who has served onboard ships, in a shipyard environment and/or with past experience working on Navy maintenance metrics and analytics, particularly someone with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment.
In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued.
In this role, you will:
Apply shipboard maintenance experience and data analytics expertise to support the chain of command from senior Navy leaders to waterfront project managers and specialists in making informed ships maintenance and logistics decisions.
Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources.Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings.
Develop data-driven reports, briefings, and presentations for senior Navy leadership.Translate complex technical data into executive-level insights, reports, and recommendations.
Support the development of metrics frameworks, ensuring alignment with Fleet and Headquarters strategic objectives.
Foster strong working relationships with Navy personnel and stakeholders to ensure data analytics efforts align with organizational objectives
Provide strategic guidance on the design and application of dashboards in Power BI, Tableau, and Jupyter.
Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials.
To be successful in this role, you must have:
Bachelor's Degree and 6 years of relevant experience
US citizenship and an active DoD Secret Security clearance
Strong background in data analytics, including experience with statistical analysis, data visualization, and advanced analytic techniques in a DOD setting.
Proficiency in leveraging data to support decision-making processes and drive operational improvements.
Excellent communication skills, with the ability to effectively convey complex data insights to senior Navy leaders.
Familiarity with data sources and systems commonly used in the naval environment.
Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.).
Experience with data visualization using Qlik and/or Tableau.
Minimal 10% travel is expected.

Preferred

NAVSEA or Navy experience.
Experience with Depot-level Overhaul, Maintenance and Modernization activities.
Algorithm writing experience with Python and similar AI / ML languages desired.
Familiarity with Navy maintenance and readiness data systems (e.g., OARS, VSB, CASREP, or equivalent)DoD experience required or Naval surface ship experience preferably
Education or certification in data analytics, computer science, or a related field is preferred.
If you are interested in supporting and working with our NAVSEA efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career!

View full posting on CareerOneStop → ID: a09b92b907cd

Metrics Data Analyst-Washington DC

Serco · Bellingham, WA

Mid-level Bachelor's

2026-05-07

WA 2026-05-07

Requirements

If you love high profile and challenging programing projects supporting the US Navy- Serco has a great opportunity for you! We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard operations, readiness, and maintenance, and knows how to guide the development of impactful dashboards.
You won't just build dashboards-you'll shape what data matters most and how it should be presented working in the Washington DC metro area.
This individual will play a vital role in engaging senior Navy leaders, leveraging their comprehensive understanding of shipboard operations and their ability to provide valuable insights through data analysis. Ideally, we are seeking a candidate who has served onboard ships, in a shipyard environment and/or with past experience working on Navy maintenance metrics and analytics, particularly someone with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment.
In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued.
In this role, you will:
Apply shipboard maintenance experience and data analytics expertise to support the chain of command from senior Navy leaders to waterfront project managers and specialists in making informed ships maintenance and logistics decisions.
Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources.Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings.
Develop data-driven reports, briefings, and presentations for senior Navy leadership.Translate complex technical data into executive-level insights, reports, and recommendations.
Support the development of metrics frameworks, ensuring alignment with Fleet and Headquarters strategic objectives.
Foster strong working relationships with Navy personnel and stakeholders to ensure data analytics efforts align with organizational objectives
Provide strategic guidance on the design and application of dashboards in Power BI, Tableau, and Jupyter.
Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials.
To be successful in this role, you must have:
Bachelor's Degree and 6 years of relevant experience
US citizenship and an active DoD Secret Security clearance
Strong background in data analytics, including experience with statistical analysis, data visualization, and advanced analytic techniques in a DOD setting.
Proficiency in leveraging data to support decision-making processes and drive operational improvements.
Excellent communication skills, with the ability to effectively convey complex data insights to senior Navy leaders.
Familiarity with data sources and systems commonly used in the naval environment.
Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.).
Experience with data visualization using Qlik and/or Tableau.
Minimal 10% travel is expected.

Preferred

NAVSEA or Navy experience.
Experience with Depot-level Overhaul, Maintenance and Modernization activities.
Algorithm writing experience with Python and similar AI / ML languages desired.
Familiarity with Navy maintenance and readiness data systems (e.g., OARS, VSB, CASREP, or equivalent)DoD experience required or Naval surface ship experience preferably
Education or certification in data analytics, computer science, or a related field is preferred.
If you are interested in supporting and working with our NAVSEA efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career!

View full posting on CareerOneStop → ID: 0737edeef84f

Metrics Data Analyst-Washington DC

Serco · Astoria, OR

Mid-level Bachelor's

2026-05-07

WA 2026-05-07

Requirements

If you love high profile and challenging programing projects supporting the US Navy- Serco has a great opportunity for you! We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard operations, readiness, and maintenance, and knows how to guide the development of impactful dashboards.
You won't just build dashboards-you'll shape what data matters most and how it should be presented working in the Washington DC metro area.
This individual will play a vital role in engaging senior Navy leaders, leveraging their comprehensive understanding of shipboard operations and their ability to provide valuable insights through data analysis. Ideally, we are seeking a candidate who has served onboard ships, in a shipyard environment and/or with past experience working on Navy maintenance metrics and analytics, particularly someone with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment.
In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued.
In this role, you will:
Apply shipboard maintenance experience and data analytics expertise to support the chain of command from senior Navy leaders to waterfront project managers and specialists in making informed ships maintenance and logistics decisions.
Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources.Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings.
Develop data-driven reports, briefings, and presentations for senior Navy leadership.Translate complex technical data into executive-level insights, reports, and recommendations.
Support the development of metrics frameworks, ensuring alignment with Fleet and Headquarters strategic objectives.
Foster strong working relationships with Navy personnel and stakeholders to ensure data analytics efforts align with organizational objectives
Provide strategic guidance on the design and application of dashboards in Power BI, Tableau, and Jupyter.
Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials.
To be successful in this role, you must have:
Bachelor's Degree and 6 years of relevant experience
US citizenship and an active DoD Secret Security clearance
Strong background in data analytics, including experience with statistical analysis, data visualization, and advanced analytic techniques in a DOD setting.
Proficiency in leveraging data to support decision-making processes and drive operational improvements.
Excellent communication skills, with the ability to effectively convey complex data insights to senior Navy leaders.
Familiarity with data sources and systems commonly used in the naval environment.
Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.).
Experience with data visualization using Qlik and/or Tableau.
Minimal 10% travel is expected.

Preferred

NAVSEA or Navy experience.
Experience with Depot-level Overhaul, Maintenance and Modernization activities.
Algorithm writing experience with Python and similar AI / ML languages desired.
Familiarity with Navy maintenance and readiness data systems (e.g., OARS, VSB, CASREP, or equivalent)DoD experience required or Naval surface ship experience preferably
Education or certification in data analytics, computer science, or a related field is preferred.
If you are interested in supporting and working with our NAVSEA efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career!

View full posting on CareerOneStop → ID: ca54066976d8

Metrics Data Analyst-Washington DC

Serco · Boise, ID

Mid-level

2026-05-07

ID 2026-05-07

View full posting on CareerOneStop → ID: e93828da7140

Metrics Data Analyst-Washington DC

Serco · Aurora, OR

Mid-level

2026-05-07

OR 2026-05-07

View full posting on CareerOneStop → ID: 2fb915ee7d4f

Metrics Data Analyst-Washington DC

Serco · Albany, OR

Mid-level

2026-05-07

OR 2026-05-07

View full posting on CareerOneStop → ID: 8b27954ea028

Metrics Data Analyst-Washington DC

Serco · Choteau, MT

Mid-level

2026-05-07

MT 2026-05-07

View full posting on CareerOneStop → ID: f84c34bb0844

Metrics Data Analyst-Washington DC

Serco · Belgrade, MT

Mid-level

2026-05-07

MT 2026-05-07

View full posting on CareerOneStop → ID: 9a6164ac7425

Data Analyst and State Reporting Officer

Helena School District · Helena, MT

Mid-level

2026-05-07

MT 2026-05-07

View full posting on CareerOneStop → ID: 569f051855d6

Metrics Data Analyst-Washington DC

Serco · Butte, MT

Mid-level

2026-05-07

MT 2026-05-07

View full posting on CareerOneStop → ID: 7b60b6d44339

Metrics Data Analyst-Washington DC

Serco · Cheyenne, WY

Mid-level

2026-05-07

WY 2026-05-07

View full posting on CareerOneStop → ID: 4aca99aa5fbe

Data Analyst

LAYTON CONSTRUCTION COMPANY, LLC · Sandy, UT

Mid-level

2026-05-07

UT 2026-05-07

View full posting on CareerOneStop → ID: def5f62ad849

Metrics Data Analyst-Washington DC

Serco · Bluffdale, UT

Mid-level

2026-05-07

UT 2026-05-07

View full posting on CareerOneStop → ID: 5d498d9c42d7

Senior Data Analyst

State of Utah - Jobs · Salt Lake City, UT

Senior

2026-05-07

UT 2026-05-07

View full posting on CareerOneStop → ID: 5136d47a21fc

Metrics Data Analyst-Washington DC

Serco · Carbury, ND

Mid-level

2026-05-07

ND 2026-05-07

View full posting on CareerOneStop → ID: 9dbbe22ca3c1

Metrics Data Analyst-Washington DC

Serco · Beulah, ND

Mid-level

2026-05-07

ND 2026-05-07

View full posting on CareerOneStop → ID: f81b74bb73a6

Metrics Data Analyst-Washington DC

Serco · Carpio, ND

Mid-level

2026-05-07

ND 2026-05-07

View full posting on CareerOneStop → ID: c0fa0b9d5f85

Metrics Data Analyst-Washington DC

Serco · Bottineau, ND

Mid-level

2026-05-07

ND 2026-05-07

View full posting on CareerOneStop → ID: eafd496eb00e

Business Intelligence Engineer, AMXL (Amazon Extra Large) Inbound Analytics

Amazon · Tempe, AZ

Mid-level

2026-05-07

AZ 2026-05-07

View full posting on CareerOneStop → ID: 5e1c6b3d8bf1

Finance Subject Matter Expert (SME) - ALM Systems, Transformation & Business Intelligence

Iron Mountain · Phoenix, AZ

Mid-level

2026-05-07

AZ 2026-05-07

View full posting on CareerOneStop → ID: c728a12eefba

Metrics Data Analyst-Washington DC

Serco · Phoenix, AZ

Mid-level

2026-05-07

AZ 2026-05-07

View full posting on CareerOneStop → ID: 1986b34d99c8

Metrics Data Analyst-Washington DC

Serco · Bullhead City, AZ

Mid-level

2026-05-07

AZ 2026-05-07

View full posting on CareerOneStop → ID: 28065a39b529

Metrics Data Analyst-Washington DC

Serco · Chandler, AZ

Mid-level

2026-05-07

AZ 2026-05-07

View full posting on CareerOneStop → ID: 2411d0d4fffd

Metrics Data Analyst-Washington DC

Serco · Bullhead City, AZ

Mid-level

2026-05-07

AZ 2026-05-07

View full posting on CareerOneStop → ID: a7edc2ffcc25

Metrics Data Analyst-Washington DC

Serco · Albuquerque, NM

Mid-level

2026-05-07

NM 2026-05-07

View full posting on CareerOneStop → ID: 4f34f0e3a4f5

Metrics Data Analyst-Washington DC

Serco · Cannon AFB, NM

Mid-level

2026-05-07

NM 2026-05-07

View full posting on CareerOneStop → ID: a6a2b8368b49

Metrics Data Analyst-Washington DC

Serco · Aurora, CO

Mid-level

2026-05-07

CO 2026-05-07

View full posting on CareerOneStop → ID: 2985b790af07

Metrics Data Analyst-Washington DC

Serco · Centennial, CO

Mid-level

2026-05-07

CO 2026-05-07

View full posting on CareerOneStop → ID: 9934dbc93947

Metrics Data Analyst-Washington DC

Serco · Air Force Academy, CO

Mid-level

2026-05-07

CO 2026-05-07

View full posting on CareerOneStop → ID: cc211cb6c8f9

Metrics Data Analyst-Washington DC

Serco · Aurora, CO

Mid-level

2026-05-07

CO 2026-05-07

View full posting on CareerOneStop → ID: 1eaa644cc401

Metrics Data Analyst-Washington DC

Serco · Aurora, CO

Mid-level

2026-05-07

CO 2026-05-07

View full posting on CareerOneStop → ID: a0a0dc4cfcd2

Metrics Data Analyst-Washington DC

Serco · Bellevue, NE

Mid-level

2026-05-07

NE 2026-05-07

View full posting on CareerOneStop → ID: f202c0171859

Metrics Data Analyst-Washington DC

Serco · Abilene, KS

Mid-level

2026-05-07

KS 2026-05-07

View full posting on CareerOneStop → ID: ce0756169fc4

Metrics Data Analyst-Washington DC

Serco · Chapman, KS

Mid-level

2026-05-07

KS 2026-05-07

View full posting on CareerOneStop → ID: 3d2739eb7c4a

Metrics Data Analyst-Washington DC

Serco · Altus, OK

Mid-level

2026-05-07

OK 2026-05-07

View full posting on CareerOneStop → ID: 13d91d5fd0ff

Metrics Data Analyst-Washington DC

Serco · Broken Arrow, OK

Mid-level

2026-05-07

OK 2026-05-07

View full posting on CareerOneStop → ID: d5d609fb4268

Data Analytics - Operations

U.S. Bank · Saint Paul, MN

Mid-level

2026-05-07

MN 2026-05-07

View full posting on CareerOneStop → ID: 828d4e7e08f2

Senior Enterprise Data Analyst

Blue Cross and Blue Shield of Minnesota · Eagan, MN

Senior

2026-05-07

MN 2026-05-07

View full posting on CareerOneStop → ID: f8e601d2efd4

Metrics Data Analyst-Washington DC

Serco · Bettendorf, IA

Mid-level

2026-05-07

IA 2026-05-07

View full posting on CareerOneStop → ID: 9e6f6756fa4d

Metrics Data Analyst-Washington DC

Serco · Butler, MO

Mid-level

2026-05-07

MO 2026-05-07

View full posting on CareerOneStop → ID: 9a573b09c09d

Metrics Data Analyst-Washington DC

Serco · Little Rock Air Force Base, AR

Mid-level

2026-05-07

AR 2026-05-07

View full posting on CareerOneStop → ID: c0db3143bbe6

Senior, Data Analyst

Walmart · Bentonville, AR

Senior

2026-05-07

AR 2026-05-07

View full posting on CareerOneStop → ID: 5dd632ebbde7

Metrics Data Analyst-Washington DC

Serco · Barksdale AFB, LA

Mid-level

2026-05-07

LA 2026-05-07

View full posting on CareerOneStop → ID: 921ebb4c54ad

Metrics Data Analyst-Washington DC

Serco · Bossier City, LA

Mid-level

2026-05-07

LA 2026-05-07

View full posting on CareerOneStop → ID: f7044f1f40ec

Metrics Data Analyst-Washington DC

Serco · Belle Chasse, LA

Mid-level

2026-05-07

LA 2026-05-07

View full posting on CareerOneStop → ID: 08fa850d3324

Metrics Data Analyst-Washington DC

Serco · Baton Rouge, LA

Mid-level

2026-05-07

LA 2026-05-07

View full posting on CareerOneStop → ID: 517b1d2eb622

Metrics Data Analyst-Washington DC

Serco · Alexandria, LA

Mid-level

2026-05-07

LA 2026-05-07

View full posting on CareerOneStop → ID: fa362d459654

Business Intelligence Analyst 1

CHEGG INC · Madison, WI

Mid-level

2026-05-07

WI 2026-05-07

View full posting on CareerOneStop → ID: d6e3572a1753

Data Analytics - Operations

U.S. Bank · Milwaukee, WI

Mid-level

2026-05-07

WI 2026-05-07

View full posting on CareerOneStop → ID: bce9e7734beb

Lead People Data Analyst

American Family Insurance - Corporate · Madison, WI

Senior

2026-05-07

WI 2026-05-07

View full posting on CareerOneStop → ID: 892170072f39

Metrics Data Analyst-Washington DC

Serco · Appleton, WI

Mid-level

2026-05-07

WI 2026-05-07

View full posting on CareerOneStop → ID: 791c9b981808

Director, Data Analysis - Global Payment Network - Risk Management

Capital One · Chicago, IL

Director

2026-05-07

IL 2026-05-07

View full posting on CareerOneStop → ID: 9ff655ebeb6f

Director, Data Analysis - Global Payment Network - Risk Management

Capital One · Riverwoods, IL

Director

2026-05-07

IL 2026-05-07

View full posting on CareerOneStop → ID: 8e7c5319dd96

Metrics Data Analyst-Washington DC

Serco · Chicago, IL

Mid-level

2026-05-07

IL 2026-05-07

View full posting on CareerOneStop → ID: a43a3fc00e1d

Metrics Data Analyst-Washington DC

Serco · Canton, IL

Mid-level

2026-05-07

IL 2026-05-07

View full posting on CareerOneStop → ID: da584b7f2787

Senior Data Analyst

Aston Carter · Barrington, IL

Senior

2026-05-07

IL 2026-05-07

View full posting on CareerOneStop → ID: 7225ee869f87

Metrics Data Analyst-Washington DC

Serco · Biloxi, MS

Mid-level

2026-05-07

MS 2026-05-07

View full posting on CareerOneStop → ID: 48e71acad5bb

Metrics Data Analyst-Washington DC

Serco · Bynum, AL

Mid-level

2026-05-07

AL 2026-05-07

View full posting on CareerOneStop → ID: 0cf24a32137e

Metrics Data Analyst-Washington DC

Serco · Anniston, AL

Mid-level

2026-05-07

AL 2026-05-07

View full posting on CareerOneStop → ID: 579b42ffa6f5

Metrics Data Analyst-Washington DC

Serco · Montgomery, AL

Mid-level

2026-05-07

AL 2026-05-07

View full posting on CareerOneStop → ID: b5732ce30863

Business Intelligence Engineer, AMXL (Amazon Extra Large) Inbound Analytics

Amazon · Nashville, TN

Mid-level

2026-05-07

TN 2026-05-07

View full posting on CareerOneStop → ID: 36f387eaf1dc

Manager Reporting and Data Analysis

Elevance Health · Nashville, TN

Manager

2026-05-07

TN 2026-05-07

View full posting on CareerOneStop → ID: 5ceaf51babf9

Metrics Data Analyst-Washington DC

Serco · Alameda, CA

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: b95d6d6e1b53

Metrics Data Analyst-Washington DC

Serco · Bakersfield, CA

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: 0a18f62d7201

Metrics Data Analyst-Washington DC

Serco · Chico, CA

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: 4cb34d61f80c

Metrics Data Analyst-Washington DC

Serco · Alhambra, CA

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: 4ea09c9253e8

Metrics Data Analyst-Washington DC

Serco · Burlingame, CA

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: 70db8fb365f5

Metrics Data Analyst-Washington DC

Serco · Bell, CA

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: 7754f716a208

Metrics Data Analyst-Washington DC

Serco · Sacramento, CA

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: 97d7f9a3e5f7

Metrics Data Analyst-Washington DC

Serco · Chester, MT

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: 7e031a8851a1

Metrics Data Analyst-Washington DC

Serco · Atwater, CA

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: 0d27f77353c1

Metrics Data Analyst-Washington DC

Serco · Fullerton, CA

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: 10b5d34ae8ad

Metrics Data Analyst-Washington DC

Serco · Ridgecrest, CA

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: 50f4e9f2c69f

Metrics Data Analyst-Washington DC

Serco · Camp Pendleton North, CA

Mid-level

2026-05-07

WA 2026-05-07

View full posting on CareerOneStop → ID: 7fdb319c99d3

Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Policy

Amazon · Seattle, WA

Senior Master's

2026-05-06

WA 2026-05-06

Requirements

10+ years of professional or military experience
5+ years of SQL experience
5+ years of SQL, ETL or Oracle experience
5+ years of processing large, multi-dimensional datasets from multiple sources experience
5+ years of performing statistical analysis experience

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Master's degree in statistics, data science, or an equivalent quantitative field
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of design of experiments and statistical analysis of results
1+ years of developing automated reporting experience

Responsibilities

Work directly with the models/data. Work with large data sets and the technical tools needed to work with them
Manage complex, manual, revenue routing processes to ensure revenue is reported accurately
Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL). Build data models leveraging Python.
Work cross-functionally with billing to ensure revenue is flowing to the right customer accounts
Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes
Use analytical and statistical rigor to solve complex problems and drive business decisions
Drive towards simple, scalable solutions to difficult problems
Project-manage multiple workflows and communicate complex analytical results, both written and verbally
Work with key business stakeholders to understand requirements and shape analytical deliverables
Think strategically about business, product, and technical challenges, with the ability to work cross-organizationally

View full posting on CareerOneStop → ID: 34f33115ce2b

Senior Manager of Data Engineering & Business Intelligence, Alexa Audio

Amazon · Seattle, WA

Manager

2026-05-06

WA 2026-05-06

Requirements

8+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience

Preferred

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with software development lifecycle
Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in any Bigdata architecture and experience in managing and troublshooting network
Experience working directly with business stakeholders to translate between data and business needs

Responsibilities

Delivery of robust, scalable data solutions supporting Alexa Audio's data infrastructure across all content verticals, endpoints, and geos
Enhancement of reporting and analytics capabilities serving Alexa Audio Product Directors, Technical Directors, Product Management, Partner Management, and Central BI/Finance teams
Leadership in data governance, quality standards, and SLA enforcement across the Audio data ecosystem
Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models
Own and evolve WBR/MBR reporting, self-service analytics, and ad hoc deep-dive capabilities
Collaborate with Product Management, BI teams, and stakeholders to prioritize work aligned with Alexa Audio business goals
Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation
Drive team growth through mentoring, coaching, and career development
Reduce time-to-insight for product, leadership, and partner teams by increasing data availability and efficiency
Ensure stakeholders trust the numbers they use to make decisions by improving data confidence and reliability

View full posting on CareerOneStop → ID: ecac3127279c

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Olympia, WA

Manager Bachelor's

2026-05-06

WA 2026-05-06

Requirements

Bachelor's degree or equivalent practical experience.
8+ years of experience in product management or related technical roles.
5+ years of experience taking technical infrastructure or data products from conception to launch.
Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering.
Experience defining and launching products in the data infrastructure, analytics database, or stream processing space.
Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization.
Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership.
*What Gives You an Edge:
Engineering background in analytical databases, stream processing, or distributed storage systems.
Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user.
Familiarity with Kafka, Flink, or similar streaming infrastructure.
Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery.
Prior experience with cloud-native infrastructure products and consumption-based pricing models.
Experience working on open source data infrastructure projects.
*Ready to build what's next? Let's get in motion.
*Come As You Are
Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible.

Responsibilities

Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation.
As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it.
This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases.
*What You Will Do:
Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience.
Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative.
Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics.
Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale.
Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it.
Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning.
Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud.
Define success metrics, cost models, and pricing strategy for a new product area.
Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership.

View full posting on CareerOneStop → ID: 6086bd0df0e4

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Boise, ID

Manager

2026-05-06

ID 2026-05-06

View full posting on CareerOneStop → ID: 81aa82440ff5

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Salem, OR

Manager

2026-05-06

OR 2026-05-06

View full posting on CareerOneStop → ID: e615e12f2f0f

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Helena, MT

Manager

2026-05-06

MT 2026-05-06

View full posting on CareerOneStop → ID: cb122771f16b

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Cheyenne, WY

Manager

2026-05-06

WY 2026-05-06

View full posting on CareerOneStop → ID: 68c33ae4519b

Data Analyst

Spartronics · Logan, UT

Mid-level

2026-05-06

UT 2026-05-06

View full posting on CareerOneStop → ID: cbb09117d3d6

Part-Time Evaluator, Data Analytics- Remote

WESTERN GOVERNORS UNIVERSITY · Millcreek, UT

Mid-level

2026-05-06

UT 2026-05-06

View full posting on CareerOneStop → ID: 0b1436c69470

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Salt Lake City, UT

Manager

2026-05-06

UT 2026-05-06

View full posting on CareerOneStop → ID: 4baaa7c8398b

HR Data Analyst

Panasonic North America · Sparks, NV

Mid-level

2026-05-06

NV 2026-05-06

View full posting on CareerOneStop → ID: de25a43be84c

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Carson City, NV

Manager

2026-05-06

NV 2026-05-06

View full posting on CareerOneStop → ID: 4624ff84fddd

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Bismarck, ND

Manager

2026-05-06

ND 2026-05-06

View full posting on CareerOneStop → ID: 876b37b0bf54

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Pierre, SD

Manager

2026-05-06

SD 2026-05-06

View full posting on CareerOneStop → ID: 0ff7002018a8

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Phoenix, AZ

Manager

2026-05-06

AZ 2026-05-06

View full posting on CareerOneStop → ID: 0263cf2d8e2d

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Santa Fe, NM

Manager

2026-05-06

NM 2026-05-06

View full posting on CareerOneStop → ID: 1dca568a4d5e

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Denver, CO

Manager

2026-05-06

CO 2026-05-06

View full posting on CareerOneStop → ID: 4d4a785d335a

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Lincoln, NE

Manager

2026-05-06

NE 2026-05-06

View full posting on CareerOneStop → ID: 21e6fe66ce8e

HR Data Analyst

Panasonic North America · Olathe, KS

Mid-level

2026-05-06

KS 2026-05-06

View full posting on CareerOneStop → ID: 476037893311

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Topeka, KS

Manager

2026-05-06

KS 2026-05-06

View full posting on CareerOneStop → ID: cca904ab648c

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Oklahoma City, OK

Manager

2026-05-06

OK 2026-05-06

View full posting on CareerOneStop → ID: 2706c206f6d6

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Saint Paul, MN

Manager

2026-05-06

MN 2026-05-06

View full posting on CareerOneStop → ID: 995ea70e010b

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Des Moines, IA

Manager

2026-05-06

IA 2026-05-06

View full posting on CareerOneStop → ID: 16879d0ecaba

Data Analyst - GEOINT Technical SME

SAIC · Saint Louis, MO

Mid-level

2026-05-06

MO 2026-05-06

View full posting on CareerOneStop → ID: 2799249cefab

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Jefferson City, MO

Manager

2026-05-06

MO 2026-05-06

View full posting on CareerOneStop → ID: 0d8a9ed658aa

Senior Manager, Data Analytics (Walmart+)

Walmart · Bentonville, AR

Manager

2026-05-06

AR 2026-05-06

View full posting on CareerOneStop → ID: b8caa1e6acbc

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Little Rock, AR

Manager

2026-05-06

AR 2026-05-06

View full posting on CareerOneStop → ID: dc5131d83afc

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Baton Rouge, LA

Manager

2026-05-06

LA 2026-05-06

View full posting on CareerOneStop → ID: 1200332986c8

Business Intelligence Analyst 1

CHEGG INC · Madison, WI

Mid-level

2026-05-06

WI 2026-05-06

View full posting on CareerOneStop → ID: 663177b2f689

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Madison, WI

Manager

2026-05-06

WI 2026-05-06

View full posting on CareerOneStop → ID: 717e2b0dae2d

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Springfield, IL

Manager

2026-05-06

IL 2026-05-06

View full posting on CareerOneStop → ID: e63dd2314ee1

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Jackson, MS

Manager

2026-05-06

MS 2026-05-06

View full posting on CareerOneStop → ID: fba144b369f7

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Montgomery, AL

Manager

2026-05-06

AL 2026-05-06

View full posting on CareerOneStop → ID: 1886f23e6b3d

Data Analyst

Robert Half · Nashville, TN

Mid-level

2026-05-06

TN 2026-05-06

View full posting on CareerOneStop → ID: 39dede9b1b29

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Nashville, TN

Manager

2026-05-06

TN 2026-05-06

View full posting on CareerOneStop → ID: 3d3d86459fd8

Staff Product Manager, Real Time Data Analytics Platform

Confluent · Frankfort, KY

Manager

2026-05-06

KY 2026-05-06

View full posting on CareerOneStop → ID: 259d7d4efb9a

Business Intelligence Engineer I, SCOT-AIM

Amazon · Bellevue, WA

Entry-level Master's

2026-05-05

WA 2026-05-05

Requirements

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)

Preferred

Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis

Responsibilities

You will be owning building of data and AI products that provide stakeholders across Amazon with deep insights to identify and resolve defects. - We own metrics, bridges, anomaly detection, insight generation and defect repair systems used by Senior leadership, stakeholders and business teams across entire Amazon e-commerce organization worldwide.
You will always be challenged to think several steps ahead so that the solutions we are building today will scale well with future growth and without adding excessive operational overhead.
You will need to develop deep technical and business understanding of existing system (owned by us as well as other teams across Amazon) as you will responsible for identifying synergies and minimizing investment in redundant features.
You will work with supply chain operations teams, in-house scientists, other BI Engineers, and software teams to identify enhancement opportunities and new features for our data products.
Successful candidates should excel at diving into data in order to analyze problems and implement simple, long term solutions.
This is a highly visible role and will require regular interaction and communication with senior leaders.
You must have experience and capability to document your work for technical as well as non-technical audiences.
You will have the opportunity to thrive in a highly collaborative, creative, analytical, and fast-paced environment oriented around building the world's most flexible and effective supply chain management technology.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

View full posting on CareerOneStop → ID: f4f506244a6b

Business Intelligence Engineer II, SCOT-AIM

Amazon · Bellevue, WA

Mid-level

2026-05-05

WA 2026-05-05

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience writing complex SQL queries
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

You will be owning building of data and AI products that provide stakeholders across Amazon with deep insights to identify and resolve defects. - We own metrics, bridges, anomaly detection, insight generation and defect repair systems used by Senior leadership, stakeholders and business teams across entire Amazon e-commerce organization worldwide.
You will always be challenged to think several steps ahead so that the solutions we are building today will scale well with future growth and without adding excessive operational overhead.
You will need to develop deep technical and business understanding of existing system (owned by us as well as other teams across Amazon) as you will responsible for identifying synergies and minimizing investment in redundant features.
You will work with supply chain operations teams, in-house scientists, other BI Engineers, and software teams to identify enhancement opportunities and new features for our data products.
Successful candidates should excel at diving into data in order to analyze problems and implement simple, long term solutions.
This is a highly visible role and will require regular interaction and communication with senior leaders.
You must have experience and capability to document your work for technical as well as non-technical audiences.
You will have the opportunity to thrive in a highly collaborative, creative, analytical, and fast-paced environment oriented around building the world's most flexible and effective supply chain management technology.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

View full posting on CareerOneStop → ID: 068d82221a56

Business Intelligence Engineer, CreativeX Advertising Finance

Amazon · Seattle, WA

Mid-level Bachelor's

2026-05-05

WA 2026-05-05

Requirements

3+ years of SQL, ETL or Oracle experience
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Preferred

Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
Experience using Python scripting to process data for modeling

Responsibilities

Metrics development through Weekly Business Reviews decks and performance monitoring reports (such as Quicksight, Excel)
Deep Dive Analysis and data insights (such as SQL, Python)
Data infrastructure and automation (such as ETL data pipelines using datanet, Cradle, Redshift, S3, Athena)

View full posting on CareerOneStop → ID: 514c31c36c42

Sr. Business Intel Engineer, WIMSI

Amazon · Seattle, WA

Senior

2026-05-05

WA 2026-05-05

Requirements

10+ years of professional or military experience
5+ years of SQL experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership

Responsibilities

Design, develop, and oversee the reporting pipelines to onboard agency managed media metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL, Python, Spark, AWS Lambda, etc.).
Onboard and monitor new features for current and future roadmap of reporting and measurement products .to enable data-driven decision-making
Collaborate with stakeholders (marketing, advertising, finance, engineering, science, legal, and product management) to understand business domains, requirements, and expectations.
Work closely with owners of data source systems to gain insights into their capabilities and limitations
Deliver minimally to moderately complex data analysis to support business needs
Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation.
The successful candidate will demonstrate an ability to influence business owners, support thoughtful decision-making, and adapt to a rapidly-evolving environment. They will collaborate with executives and business units across Amazon, bring excellent verbal and written communication skills, and prioritize the most impactful projects and programs to drive businesses forward. A typical day in this role provides an opportunity of building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions.

View full posting on CareerOneStop → ID: 60d0ae245db1

Technical Program Manager III, Data Analytics, Cloud Networking

Google · Kirkland, WA

Manager Bachelor's

2026-05-05

WA 2026-05-05

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
5 years of experience in program management.
Experience with data analytics, reporting, and scripting using SQL.
Experience with dashboards or data visualization platforms.

Preferred

5 years of experience managing cross-functional or cross-team projects.
Experience in data centers, network infrastructure, including optical transport, dark and leased fiber, cross-connects, etc.
Experience in vendor management in the telecommunications/network industry.
Excellent stakeholder management, with the ability to influence at all levels of the organization.

Responsibilities

A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact.
Prioritize program goals, understand and translate other stakeholders' needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables.
Define the scope of projects and develop, execute, and/or manage project plans for supported program(s).
Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations.
Identify, communicate, and collaborate with relevant stakeholders within one or more teams to drive impact and work toward mutual goals. Build, maintain and enhance business, operational, and management dashboards.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: 94b5a359a911

Market & Business Intelligence Analyst

DLA Piper LLP (US) · Seattle, WA

Mid-level

2026-05-05

WA 2026-05-05

Preferred

Must have strong analytical skills to gather, analyze and interpret a variety of data information. Knowledge of the legal market and competitors is a plus. Strong communication and interpersonal skills required to interact with staff of all levels. Must have experience using AI to conduct research. Must be fluent in data gathering and analysis, including organizing and manipulating data in Excel spreadsheets using basic and advanced functions

Responsibilities

Identifies market trends, industry developments, client movements and other relevant client news in an effort to provide information for the firm's marketing and business development department, attorneys, firm leadership, and other stakeholders.
Conducts extensive research on current and potential clients using web sources and internal data to assist in identifying potential areas of cross-selling and targeting opportunities in providing legal services.
Analyzes search results, compiles reports and provides a written executive summary. Provides information critical to the firm's business development and competitive advantage initiatives.
Analyzes the firm's clients, prospects, key industries serviced, and competitors and identify new markets. Supports client pitches and provides needed information for responding to RFPs.
Assists management with developing a highly functioning global competitive intelligence research and business analysis group by contributing ideas, suggestions, and using information and tools not typically found in a law firm.
Other duties as assigned.

View full posting on CareerOneStop → ID: abdfa4380900

Market & Business Intelligence Manager

DLA Piper LLP (US) · Seattle, WA

Manager

2026-05-05

WA 2026-05-05

Preferred

Proven success building and leading analytics teams. Leadership & Team Management: Demonstrated ability to develop talent and lead cross-functio

Responsibilities

Team Leadership and Development: Manage and mentor a team of analysts, fostering a collaborative, high-performance culture.
Strategic Planning and Execution: Design and implement analytics strategies that align with firm goals, including proactive intelligence delivery and client segmentation.
Project Management: Lead analytics projects from scope to delivery, ensuring timelines, quality standards, and stakeholder expectations are met.
Stakeholder Engagement: Partner with senior leaders across Sector Practices, Practice Groups, Business Development & Marketing, and corporate groups to understand needs and deliver actionable insights.
Data Governance and Compliance: Ensure adherence to data governance policies, maintaining data quality, security, and regulatory compliance.
Tool Development and Enhancement: Oversee the evolution of internal tools for advanced business analytics, workflow automation, and reporting capabilities.

View full posting on CareerOneStop → ID: ca93ecd3322a

Graduate Intern - Atmospheric Data Analysis for Infrastructure Reliability

National Laboratory of the Rockies · Boulder, CO

Intern

2026-05-05

CO 2026-05-05

View full posting on CareerOneStop → ID: f9e83c129405

Business Intelligence - Senior Programmer

U.S. Bank · Minneapolis, MN

Senior

2026-05-05

MN 2026-05-05

View full posting on CareerOneStop → ID: 41a14ab75b79

Business Intelligence - Senior Programmer

U.S. Bank · Owensboro, KY

Senior

2026-05-05

KY 2026-05-05

View full posting on CareerOneStop → ID: 923427f9e5bb

Business Intelligence / Data Analyst

SunSoft Online · Scottsdale, AZ

Mid-level

2026-05-04

AZ 2026-05-04

View full posting on CareerOneStop → ID: 0a511ed68824

Data Analyst

IDR Inc. · Loveland, CO

Mid-level

2026-05-04

CO 2026-05-04

View full posting on CareerOneStop → ID: 2e05c3969903

Senior Submissions/Encounter Healthcare Data Analyst

Blue Cross and Blue Shield of Minnesota · Eagan, MN

Senior

2026-05-04

MN 2026-05-04

View full posting on CareerOneStop → ID: a32d3b242f95

Business Intelligence Analyst

The Boeing Company · Auburn, WA

Mid-level Bachelor's

2026-05-03

WA 2026-05-03

Requirements

4+ years of experience in Supply Chain Business Intelligence
3+ years of SQL proficiency: Demonstrated expertise in writing complex SQL queries and manipulating large datasets
3+ years of experience with BI/visualization tools (Tableau, RShiny, Power BI, Cognos), including report design and performance tuning
3+ years of experience with ETL/ELT workflows and data transformation, including common tools or orchestration frameworks
Experience working with enterprise data warehouses and implementing star/snowflake schemas.
Experience working cross-functionally with business stakeholders to understand needs and deliver actionable data products
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required.
"U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
*Export Control Details:
US based job, US Person required

Preferred

Bachelor's degree or higher in Computer Science, Data Analytics, Supply Chain, Manufacturing/Industrial Engineering or closely related field
Deep understanding of the DAX language and data modeling in Power BI
Knowledge of BOMs/MBOMs/EBOMs, MES, PLM systems, and how they interact with supply chain processes
Proficiency in data warehouse development, including the design, development, implementation, and monitoring of fact and dimension objects following Kimball dimensional modeling best practices
Experience building complex Tableau reports and optimizing performance for large datasets
Direct experience in Aerospace business functions such as Supply Chain, Manufacturing, Engineering, Quality, etc.
Experience with programming/scripting languages (e.g., Python) for data manipulation and automation
Experience with ERP systems (Infor LN, SAP, Oracle ERP, Microsoft Dynamics 365 etc.)
Experience in working with ambiguous requirements, asking the right questions to extract business needs from stakeholders and translate into logical and physical data models
Critical thinking, verbal and written communication skills

Responsibilities

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
*Boeing Commercial Airplanes (BCA) Fabrication Division is seeking a Senior Business Intelligence Analyst to support our Supply Chain Integration Core Team in Auburn, Washington .
Our Boeing Commercial Airplanes (BCA) Supply Chain Functional Excellence - Performance & Integration team focuses on a data-driven transformation of the organization by providing real-time insights for complex business problems and enhances and aides their decision-making process.
The selected candidate will partner with multiple business functions, understand data needs, and deliver high-impact dashboards, reports, process automations, or web applications. This role dominates end-to-end data workflows, from gathering requirements with stakeholders to designing robust data transformation pipelines and creating actionable BI dashboards. The ideal candidate thrives at the intersection of data engineering and business intelligence, enabling data-driven decisions across the organization.
Collaborate with business partners to gather data requirements, define KPIs, and translate business needs into technical data solutions
Design, build, and maintain scalable ETL/ELT pipelines to ingest and transform raw data into clean, reliable datasets for reporting
Develop and maintain dashboards, reports, and visualizations that communicate metrics, trends, and status updates using BI tools (e.g., Power BI, Tableau, IBM Cognos)
Contribute to the development of a comprehensive data warehouse supporting analytics and reporting for a complex ERP system
Design and optimize database schema, tables, indexes, and views for efficient data storage and retrieval
Monitor and improve data quality, resolve pipeline errors, and enforce governance and documentation standards
Support ongoing improvement of data processes and automation to reduce manual tasks and accelerate insights
Provide technical guidance to data analysts and support cross-functional teams in interpreting and utilizing dashboard results
Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives

View full posting on CareerOneStop → ID: 719d903358b4

Associate Data Analyst, Customer Support

PitchBook Data · Seattle, WA

Entry-level Bachelor's

2026-05-03

WA 2026-05-03

Requirements

Bachelor's degree
1+ years of experience in financial services role or experience working with large datasetsand/or 1+ years of Tier 2 Customer Support atPitchBook

Preferred

Strong proficiencywith Microsoft Excel including pivot tables and advanced formulas
Haveexperience working in SQL
Have excellent verbal and written communication skills with a keen eye for detail
Interested in financial markets or services, particularly private equity and venture capital
Ability to operate w

Responsibilities

As a member of our Account Management & Customer Success team, you will thrive on your ability to embrace and drive change and your commitment to ensuring you and PitchBook are always growing and improving. While continually learning and exploring new ideas and concepts, you will be inspired to ask questions and challenge the status quo while remaining focused on our customers' success. We value teamwork and collaboration and encourage our people to build strong, trusting relationships with their teammates, customers, and partners. A contagious positivity, insatiable curiosity, and people-first attitude are the winning traits of our most successful Account Management & Customer Success team members. If this sounds like you, join us!
As an Associate Data Analyst, Customer Support, you will utilize your analysis skills to interpret client data requests and deliver packaged analytics used by some of the largest private capital investors, investment banks and service providers globally. As an Associate Data Analyst, Customer Support, you will work with the support team to create complexcustomized reports for clients.Customer experience pain points you identify will inform product improvements and allowPitchBookto optimize the platform for customers worldwide.
Build custom charts and visualizations using Salesforce, Excel, and SQL
Utilize strong Microsoft Excel and SQL skills in order to provide high-quality data analysis and support to clients
Serve as a data expert for all use cases that utilizePitchBook'sbroad database
Communicate effectively, both written and verbal to ensure smooth resolution of customerrequests
Manage and complete time-sensitive custom research requests for subscribing clients
Manage and respond to inquiries from clientsand internal colleagues and the general public regarding data requests and published research
Work collaboratively with support team with an emphasis on providing guidance and expertise to Tier 1 and 2 specialists
Work continuously to document the details of each interaction in Salesforce in order to easily research customerprojectsand to inform product improvements
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested

View full posting on CareerOneStop → ID: 42835e5ea419

Data Analyst - Logistics, Mobility & Compliance Optimization - Tucson, AZ

RTX Corporation · Tucson, AZ

Mid-level

2026-05-03

AZ 2026-05-03

View full posting on CareerOneStop → ID: 53d6871c8bc7

RN Program Coordinator - Quality - Data Analytics

Mayo Clinic · Phoenix, AZ

Mid-level

2026-05-03

AZ 2026-05-03

View full posting on CareerOneStop → ID: f284c2418cd3

Business Intelligence Engineer , Worldwide Engineering and Innovation North American Sortation and Ultrafast Engineering

Amazon · Bellevue, WA

Mid-level

2026-05-02

WA 2026-05-02

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Build and manage AWS QuickSight Dashboards
Optimize and organize data pipelines into the visualization environment
Collaborate with business users on requirements, objectives and measures
Access large scale data and use analytical tools
Provide input and recommendations on technical issues to data engineering, data science, and software engineering teams
Contribute to data design, data modeling and data extracts/transforms
Work on ambiguous and think big Gen AI initiative to improve user productivity
In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment.
Realtime reporting. Leveraging AWS and Gen AI tools to be first to market in analytics with predictive and proactive solutions.

View full posting on CareerOneStop → ID: 8faa7377c513

Business Intelligence Engineer, Prime Video Science Tech

Amazon · Seattle, WA

Mid-level

2026-05-02

WA 2026-05-02

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
3+ years of SQL, ETL or Oracle experience
3+ years of processing large, multi-dimensional datasets from multiple sources experience
Experience with data visualization using Tableau, Quicksight, or similar tools
3+ years of performing statistical analysis experience
3+ years of developing automated reporting experience
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Interacting with stakeholders (technical and non-technical) to understand primary use cases and questions.
Building data queries for ad hoc uses, dashboards, and deep-dive on data-pipeline.
Working with Data Engineers, Data scientists and Marketing media managers to provide data and insights for building Prime Video marketing measurement insights.
Managing cross organizational program for providing quality data for Prime Video Science models. Strong in communication and document writing for sharing regular updates on programs.
A typical day in this role provides opportunities for building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions.
Gather detailed requirements from stakeholders to understand their manual processes and pain points. Serve as the liaison between the engineering team and Prime Video stakeholders.
Think creatively to identify opportunities to solve problems using technology-driven solutions.
Design and implement optimal automation solutions to address stakeholder needs.
Manage cross organizational Data programs. Respond to ad hoc requests, and communicate on program updates.
Run Tech prioritization mechanism, and write document for leadership review on program updates.

View full posting on CareerOneStop → ID: cde0b7bec974

Data Analyst II - Inventory & SEO Growth

Rock Family of Companies · Seattle, WA

Mid-level Master's

2026-05-02

WA 2026-05-02

Responsibilities

Serve as a subject matter expert on Redfin's listings data.
Leverage analytical expertise to deliver simple answers to complex, ambiguous questions.
Build and maintain Tableau dashboards supporting the Growth analytics reporting portfolio.
Define success metrics and perform rigorous analyses for experiments.
Collaborate with team members to review analyses, code, and dashboards, ensuring high-quality deliverables that answer the right questions.

View full posting on CareerOneStop → ID: 477139ec7801

Data Analyst II - User Engagement & Conversion

Rock Family of Companies · Seattle, WA

Mid-level Master's

2026-05-02

WA 2026-05-02

Responsibilities

Serve as a subject matter expert on homeowner audiences and Redfin Estimate product performance and user engagement.
Leverage analytical expertise to deliver simple answers to complex, ambiguous questions.
Build and maintain Tableau dashboards supporting the Growth analytics reporting portfolio.
Define success metrics and perform rigorous analyses for experiments.
Collaborate with team members to review analyses, code, and dashboards, ensuring high-quality deliverables that answer the right questions.

View full posting on CareerOneStop → ID: 9c225949b81c

Senior Data Analyst, Partner Analytics

Rock Family of Companies · Seattle, WA

Senior Bachelor's

2026-05-02

WA 2026-05-02

Responsibilities

Be a subject matter expert on Redfin's Partner Business Funnel
Leverage your analytical expertise to deliver simple answers to complex, ambiguous questions.
Excel at stakeholder communication and translating analytics findings into strategic action.
Collaborate with team members across Brokerage and Partner analytics to review analyses, code, and dashboards to ensure high fidelity deliverables that answer the right questions.

View full posting on CareerOneStop → ID: 815f89e8a5f3

Business Intelligence Engineer I

Ampcus, Inc · Bellevue, WA

Entry-level

2026-05-02

WA 2026-05-02

Requirements

Experience with AWS data visualization tools and dashboard design.
Strong business requirements writing skills.
Proven ability to lead visual design processes from concept to implementation.
Experience with mobile-responsive design and cross-platform compatibility.
Ability to work with complex regulatory and contractual requirements.
Experience partnering with cross-functional teams including data analysts and engineers.
Knowledge of information hierarchy and visual storytelling best practices.
Experience with mapping and geospatial visualizations.
Knowledge of broadband infrastructure or public funding programs preferred.

Responsibilities

This position will be responsible for:
Design and develop intuitive, user-friendly, interactive dashboards using AWS tools leveraging mapping capabilities.
Lead the visual design process from wireframing to final implementation incorporating user feedback and stakeholder requirements.
Implement best practices in information hierarchy and visual storytelling.
Collaborate with data analysts and data engineers, creating requirements and incorporating into dashboards.
Create and maintain documentation for dashboard features and user guides.
Design mobile-responsive visualizations that maintain functionality across different devices and operating systems.
Measure and optimize dashboard performance and user interaction patterns.

View full posting on CareerOneStop → ID: f5a5b356d907

Business Intelligence Engineer III

Ampcus, Inc · Seattle, WA

Mid-level Master's

2026-05-02

WA 2026-05-02

Requirements

7 years of experience working with large-scale complex datasets
Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
Strong working knowledge of SQL
Background (academic or professional) in statistics, programming, and marketing
SAS experience a plus
Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
Excellent communication skills, equally adept at working with engineers as well as business leaders

Responsibilities

Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
Statistical testing of A/B and multivariate experiments
Design, build and maintain metrics and reports on program health
Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
Participate in strategic and tactical planning discussions

View full posting on CareerOneStop → ID: cb736e41cd02

Business Intelligence Engineer V

Ampcus, Inc · Seattle, WA

Mid-level Master's

2026-05-02

WA 2026-05-02

Requirements

6 years of experience working with large-scale complex datasets.
Experience working with executive stakeholders in ecommerce or retail companies.
Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions.
Strong working knowledge of SQL.
Background (academic or professional) in statistics, programming, and marketing.
SAS experience a plus.
Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
Excellent communication skills, equally adept at working with engineers as well as business leaders.

Responsibilities

Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention.
Design, build and maintain metrics and reports on program health.
Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis.
Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base.
Participate in strategic and tactical planning discussions.

View full posting on CareerOneStop → ID: aff2506330aa

SCM MASTER DATA ANALYST

Trident Seafoods Corporation · Seattle, WA

Mid-level

2026-05-02

WA 2026-05-02

Summary: This analyst role will be a gatekeeper for all processes and associated SAP set up supporting global operations dedicated to order fulfillment, MD (Master Data) and SCM (supply chain management) processes. Essential Functions: *Reasonable accommodation may be made to enable i

View full posting on CareerOneStop → ID: 4a3dcc57e7de

Senior Healthcare Data Analyst

CVS Health · Utah

Senior

2026-05-02

UT 2026-05-02

View full posting on CareerOneStop → ID: 277d25bba471

Senior Healthcare Data Analyst

CVS Health · Nevada

Senior

2026-05-02

NV 2026-05-02

View full posting on CareerOneStop → ID: 00cf0c20ffb0

Senior Healthcare Data Analyst

CVS Health · Arizona

Senior

2026-05-02

AZ 2026-05-02

View full posting on CareerOneStop → ID: 6d36dade5af6

Data Analysis Post Bachelors Student

Los Alamos National Laboratory · Los Alamos, NM

Mid-level

2026-05-02

NM 2026-05-02

View full posting on CareerOneStop → ID: 4704c0330b4a

Senior Healthcare Data Analyst

CVS Health · New Mexico

Senior

2026-05-02

NM 2026-05-02

View full posting on CareerOneStop → ID: ae8274880f22

Senior Healthcare Data Analyst

CVS Health · Colorado

Senior

2026-05-02

CO 2026-05-02

View full posting on CareerOneStop → ID: ca93551cccf7

Senior Healthcare Data Analyst

CVS Health · Nebraska

Senior

2026-05-02

NE 2026-05-02

View full posting on CareerOneStop → ID: 4555924663bb

Business Intelligence Analyst

GardaWorld · Saint Louis, MO

Mid-level

2026-05-02

MO 2026-05-02

View full posting on CareerOneStop → ID: 1fc430c9ee1d

Sr. Business Intelligence Developer

ULINE INC · Pleasant Prairie, WI

Senior

2026-05-02

WI 2026-05-02

View full posting on CareerOneStop → ID: 79abcda04a5b

Business Intelligence Engineer , Worldwide Engineering and Innovation North American Sortation and Ultrafast Engineering

Amazon · Nashville, TN

Mid-level

2026-05-02

TN 2026-05-02

View full posting on CareerOneStop → ID: 3ba6aad5e82b

Associate Business Data Analyst

Providence St. Joseph Health · Spokane, WA

Entry-level Bachelor's

2026-05-01

WA 2026-05-01

Requirements

Bachelor's Degree, or education and experience in healthcare, project management, business or clinical operations or information technology.
1 year experience utilizing information technology to support business or clinical operations.

Preferred

5 years experience in project coordination, project management or project administration.
*Why Join Providence?
Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security. We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities.

View full posting on CareerOneStop → ID: c69900f6185b

Enterprise Data Analytics Architect

Washington State Patrol · Olympia, WA

Senior

2026-05-01

WA 2026-05-01

Responsibilities

This position will provide an enterprise-level role that develops and manages the agency's enterprise analytics program and associated standards, procedures, and policies. Further, in support of the businesses within the agency, this position will develop analytical data products and dashboards and mentor the business in learning to ask for information that can tell the agency's story in reporting. This position will have primary responsibilities and authority to establish the enterprise data analytics and literacy environment, technology/project configuration and contract parameters, policies and procedures, governance, implementation activities, reporting and metrics for WSP's data analytics program. This position reports to the Chief Data Officer.
*Our new teammate will be able to:
Develop and maintain WSP data analytics and literacy policies and procedures to advance WSP's competency in data analysis internally/externally, across all work streams and all stages of the data lifecycle.
Collaborate cross-functionally with business, technical, and data teams as well as other internal stakeholders to gather and translate requirements into actionable, testable, and measurable stories with clear acceptance criteria.
Establish a deep understanding of agency IT and Network architecture, particularly activities and infrastructure that effects the ability to conduct broad enterprise analytics goals.
Develop a working knowledge of multiple business work processes and workflows, so that mentorship and recommendations can be provided to teach the business what to ask for in data reporting.
Develop dashboards, reports, and implement leadership and staff adoption of data products.
Participate in the agency Data Governance Council.
Conduct general continuous high-level awareness and communications.
Educate agency staff by designing and delivering specific and targeted data analytics and literacy training.
Communicate with legislature, stakeholders, and the public on WSP data analysis practices.
Build relationships and collaborate with external stakeholders and partners.
Deliver business - focused reports prioritizing Field Operations and Office of Professional Standards first.
Collaborate with governance, risk, and security teams.
Advance agency compete

View full posting on CareerOneStop → ID: 00fb9617ddbf

Business Intelligence Analyst

T-Mobile USA, Inc · Bellevue, WA

Mid-level Bachelor's

2026-05-01

WA 2026-05-01

Education

Bachelor's Degree plus 2 years of related work experience OR combination of education and experience deemed equivalent (Required)
Acceptable areas of study include Business, Statistics, Economics, Marketing or related field. (Preferred)
Prefer 2+ years experience related to business intelligence. (Preferred)
Experience in conducting and communicating data-driven analyses; proven experience with quantitative and qualitative analysis and report writing. (Preferred)
*Knowledge, Skills and Abilities:

Responsibilities

The Analyst, BI Manager is responsible for proactively driving monetization strategy, yield optimization, and operational excellence across T-Mobile's owned and operated (O&O) and third-party advertising inventory. This role blends expertise in advertising technology, business intelligence, and revenue management to maximize performance and unlock new revenue opportunities. The manager will take a hands-on, forward-looking approach to daily revenue trend monitoring, initial troubleshooting, and cross-functional data standups with internal teams and external demand partners, identifying risks and opportunities before they impact results. In addition, this role will oversee the creation of dashboards, pricing models, and inventory health strategies to support T-Mobile's continued growth as a premier advertising platform. Success in this position requires strong analytical skills, proactive problem-solving, strategic thinking, excellent communication, and deep fluency in the AdTech ecosystem.
Support analytic needs by utilizing data from ad servers, SSPs, and demand partners. Guide AdTech and BI data strategies across mobile apps, web, and programmatic platforms. Lead day-to-day troubleshooting efforts related to revenue discrepancies, fill issues, and auction health.
Create holistic dashboards from different data sources, presenting metrics such as revenue yield, eCPM, fill rates, floor pricing, win rates, and audience monetization to leadership. Lead daily/weekly data standups with internal stakeholders and external demand partners to review revenue trends, surface test impacts, and document operational insights.Conduct ongoing research on industry trends and media to support business intelligence activities
Build pricing models for O&O (owned and operated) and third-party inventory. Design and implement SSP experiments to maximize yield, revenue, and inventory health, including floor price testing and demand partner optimizations.
Own the process of driving yield and operational insights from inventory and customer behavior data, partnering with Product and AdOps teams on A/B and multivariate tests to optimize monetization strategies.
Present AdTech yield analysis, strategic insights, and monetization recommendations to senior executives through dynamic dashboards, detailed reports, and executive summaries.
Conduct competitive analysis on advertising market trends, supply-side monetization strategies, and partner performance to optimize TAds inventory value.
Develop and refine yield management workflows; document analysis outcomes, troubleshooting protocols, and operational best practices to support scalable revenue growth across O&O and third-party platforms.

View full posting on CareerOneStop → ID: 2f6ad5cc1504

Senior Business Intelligence Analyst

ZILLOW INC · Seattle, WA

Senior Master's

2026-05-01

WA 2026-05-01

Zillow, Inc. seeks Senior Business Intelligence Analyst in Seattle, WA. Job Duties: Design, build, and optimize complex SQL-based data transformations and analytical datasets. Develop and maintain ETL pipelines and data models to support scalable analytics and reporting workflows. Build, enhance,

View full posting on CareerOneStop → ID: 3154c0bb8012

Business Intelligence Analyst 2

St. Luke's Health System · Boise, ID

Mid-level

2026-05-01

ID 2026-05-01

View full posting on CareerOneStop → ID: 28c0fb2dbeae

Senior Data Analyst - Equity Research

WESTERN GOVERNORS UNIVERSITY · Salt Lake City, UT

Senior

2026-05-01

UT 2026-05-01

View full posting on CareerOneStop → ID: 7363d5e444c3

DPAS Data Analyst / Property Accountability Analyst

Butler America · Tucson, AZ

Mid-level

2026-05-01

AZ 2026-05-01

View full posting on CareerOneStop → ID: a9a14e1f8e6b

System Test Data Analyst - Secret Clearance

Lockheed Martin · Colorado Springs, CO

Mid-level

2026-05-01

CO 2026-05-01

View full posting on CareerOneStop → ID: 31bbe1370a16

Business Intelligence Analyst

System One · Lenexa, KS

Mid-level

2026-05-01

KS 2026-05-01

View full posting on CareerOneStop → ID: fe6d64fb271e

GIS Data Analyst

Westinghouse Electric Company · Minneapolis, MN

Mid-level

2026-05-01

MN 2026-05-01

View full posting on CareerOneStop → ID: 53576802c1ac

Senior Consultant, Data Management (Data Analyst)

Travelers Insurance Company · Saint Paul, MN

Manager

2026-05-01

MN 2026-05-01

View full posting on CareerOneStop → ID: dbb7aacd6e82

Healthcare Data Analyst

Comagine Health · Jackson, MS

Mid-level

2026-05-01

MS 2026-05-01

View full posting on CareerOneStop → ID: 15f3646560d4

Sr. Healthcare Data Analyst

Comagine Health · Jackson, MS

Senior

2026-05-01

MS 2026-05-01

View full posting on CareerOneStop → ID: 97bb752b3265

Senior Data Analyst

Southern Home Care Services, Inc. · Louisville, KY

Senior

2026-05-01

KY 2026-05-01

View full posting on CareerOneStop → ID: 06fafd6671d9

Data Analyst 2: Inventory (Hybrid - Seattle, WA)

Nordstrom · Seattle, WA

Mid-level Bachelor's

2026-04-30

WA 2026-04-30

Preferred

Experience supporting modernization of reporting and data visualization programs.
Experience translating ambiguous business problems into structured analytical approaches.
Strong understanding of data warehousing, query construction and dimensional data modeling
Comfort in presenting to business stakeholders and leadership.
Strong operational business understanding, including the impact of business decisions on stakeholders and systems.
We've got you covered...
Our employees are our most important asset and that's reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away

Responsibilities

The Data Analyst 2 will support the Inventory Audit organization at Nordstrom, collaborating with cross-functional business teams to deliver advanced analytics, reporting, and data storytelling. This role focuses on actionable insights that inform strategic decisions and optimize business performance, with a strong emphasis on data integrity, process improvement, and stakeholder engagement.
Own the intake, management, and integrity of all data utilized by the Inventory
Audit Programs (IAP) team.
Champion the data needs and priorities of the IAP team with key data/business partners across Nordstrom.
Create compelling narratives and provide trends and insights to drive improvement (e.g., high cancel rates).
Own the process, flow, and accuracy of data from all supported systems.
Provide support on data design requirements and delivery for all programs and initiatives.
Support business analysts in developing effective reporting and analysis, ensuring accuracy and completeness.
Identify and develop new measures and KPIs that support ongoing changes in programs, systems, and processes.
Support modernization of reporting and data visualization programs.
Provide support during program testing and user acceptance testing phases.
Develop and maintain guidelines for data usage, ensuring consistency in reporting and analysis.
You own this if you have...
Bachelor's Degree in Data Science, Analytics, Statistics, Computer Science, or related quantitative fields.
3-5 years of relevant experience in data management, analysis, and reporting.
Demonstrated proficiency (3+ years) in SQL, including writing performant, maintainable queries and optimizing code for production use.
Advanced experience in data visualization (Tableau, Power BI), building interactive dashboards, and applying user experience principles.
Strong statistical expertise, applying descriptive and inferential methods (hypothesis testing, correlation analysis, confidence intervals).
Experience integrating and synthesizing data from multiple sources, with proficiency in data wrangling and transformation techniques.
Hands-on experience with cloud-based data platforms (AWS, GCP) and scalable data solutions.
Experience developing and maintaining ETL pipelines, workflow orchestration, and data quality assurance.
Advanced programming experience in Python or R, automating workflows and performing complex analyses.
Experience defining and evaluating KPIs, with a strong understanding of modeling and performance metrics.
Expertise in writing clean, version-controlled code (Git), code review, modularization, and documentation.
Applied skills in SQL, AWS Analytics and Database, Teradata, Tableau Server, Alteryx or similar.

View full posting on CareerOneStop → ID: 2ab075266cae

Manager, Business Intelligence, Seller Development

Amazon · Seattle, WA

Manager

2026-04-30

WA 2026-04-30

Requirements

7+ years of business intelligence and analytics experience
5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
Experience with SQL
Experience with ETL
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

Preferred

4+ years of working with very large data warehousing environment experience
10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
Experience with A/B testing
Experience building large-scale, high-throughput, 24x7 data systems
Familiarity with agentic AI systems or LLM observability tooling

Responsibilities

Lead, mentor, and grow a team of BIEs and Business Analysts, providing technical guidance, career development, and prioritization
Establish technical standards, code review practices, and documentation norms for the team
Design and build data and monitoring pipelines for AI-powered growth advisor products across our portfolio
Architect reusable, shared data infrastructure across AI product teams - replacing one-off solutions with shared primitives new teams can adopt from day one
Define measurement infrastructure for AI-driven experiences, capturing seller engagement, adoption of key recommended actions, and attributable sales impact
Partner with product and science teams to establish causal frameworks connecting seller actions to business outcomes
Ensure reliable delivery of weekly business reviews, performance metrics, and ad hoc analysis in support of goals and quarterly business reviews
Build prioritization frameworks that balance strategic infrastructure work against recurring reporting commitments
Serve as the primary BI technical partner for product, science, and engineering across Growth Optimization
Align stakeholders across product, advertising, promotions, and pricing teams on shared data contracts and analytical standards

View full posting on CareerOneStop → ID: 0793c8f7ddd4

Sr. Business Intelligence Engineer, AWS Compliance & Security Assurance

Amazon · Seattle, WA

Senior Bachelor's

2026-04-30

WA 2026-04-30

Requirements

5+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with AWS technologies
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience working directly with business stakeholders to translate between data and business needs
5+ years of relevant professional experience in business intelligence, data engineering, or analytics engineering

Preferred

Experience managing, analyzing and communicating results to senior management
Experience mentoring team members on best practices
Experience leveraging technology to drive process improvements
Experience with anomaly detection and automated monitoring frameworks for data products
Bachelor's degree in a related technical field (e.g., Statistics, Mathematics, Economics, Engineering, etc.)
Experience in the application of AI technologies to drive operational efficiencies and speed to insights
Experience using AWS services such as S3, Glue, Redshift, Bedrock, Lambda, Step functions and SageMake

Responsibilities

Partner cross-functionally to gather requirements and deliver end-to-end analytics solutions - translating ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools
Collaborate with Software Development Engineers, Business Intelligence Engineers, Data Engineers, and Data Scientists to transform large, complex datasets into structured, analytics-ready insights that drive business outcomes
Design, develop, and deploy production-grade data products - from datasets and pipelines to dashboards and measurement frameworks - enforcing mandatory code reviews, data quality checks, anomaly detection, and monitoring to ensure consistency, reliability, and reusability at scale
Drive alignment on metrics definitions, measurement frameworks, taxonomy, and data governance across stakeholders
Simplify and automate reporting, enabling stakeholders to self-serve at scale
Leverage AI to deliver practical and sophisticated solutions, pushing beyond conventional analytics approaches
Mentor and develop junior team members - establishing and driving best analytics practices across the team
Communicate results, insights, and recommendations across all levels of the organization - from engineering teams to senior leadership - distilling complex findings into clear, actionable narratives tailored to each audience

View full posting on CareerOneStop → ID: 076e5cc1b02d

Senior Data Analyst

Cardinal Health · Olympia, WA

Senior Bachelor's

2026-04-30

WA 2026-04-30

Requirements

Bachelor's degree in related field, or equivalent work experience preferred
8-12 years of experience preferred
Experience analyzing data leveraging SQL, Python for data models in GCP (BigQuery, BigTable, AtScale), while producing concepts in data visualization tools preferred
Experience writing basic SQL queries, stored procedures, etc. preferred
Experience in data visualization tools such as Tableau and Looker preferred
Healthcare and Finance analytics experience preferred
Excellent verbal and oral communication skills preferred
Experience in Agile methodologies preferred
*What is expected of you and others at this level
Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
Participates in the development of policies and procedures to achieve specific goals
Recommends new practices, processes, metrics, or models
Works on, and may lead, complex projects of large scope
Provides solutions which may set precedent. Understands and shares short-term and long-term impact.
Independently determines method for completion of new projects
Understands overall project objectives
Acts as a mentor to internal and external partners

Preferred

*Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)

Responsibilities

Lead enterprise-level evaluation of finance systems and operational processes to identify inefficiencies and drive scalable, measurable improvements. Leverage strong finance/accounting knowledge to translate ambiguous business needs into structured problem statements and actionable recommendations.
Apply SAP expertise to interpret financial data, validate requirements and ensure alignment between business processes, source systems and reporting outputs.
Lead major analytics initiatives that deliver measurable ROI, leveraging tools such as Looker, Tableau, and foundational knowledge of GCP BigQuery to build scalable reporting solutions.
Applies deep expertise in concepts, principles, and technical capabilities to independently manage and lead a diverse portfolio of high-impact, cross-functional projects.
Independently defines methodologies, frameworks, and analytical approaches for new and ambiguous projects, ensuring clarity, structure, and rigor from inception through execution.
Requirements elicitation - ability to take ownership and drive the business in requirements gathering
Independently drive end-to-end requirements elicitation, pre-execution activities, engaging and aligning stakeholders, clarifying business needs, defining scope and owning requirements through analysis, design, development support and unit/UAT testing.
Continuously expand domain expertise-actively learning new business processes, technologies, tools, and data platforms to strengthen solution quality and accelerate delivery.
Communicate complex findings through clear storytelling tailored to diverse audiences, proactively highlighting risks, trends, and strategic insights for business and finance leaders.
Partner with business and technology teams to strengthen relationships, build trust, and ensure solutions meet functional needs while maintaining technical accuracy and audit readiness.
Perform advanced exploratory data analysis using strong SQL skills, validating hypotheses, uncovering root causes, and synthesizing complex insights that influence business decision-making.
Collaborate with Data Engineering teams to design conceptual and logical data models, ensuring consistency in metric definitions and enabling standardized enterprise reporting.
Demonstrate accountability for the end-to-end solution-including understanding code logic, validating functionality, and ensuring outputs meet requirements and business expectations.
Contributes to and influences the creation, refinement, and adoption of policies, standards, and procedures that advance organizational goals and drive operational excellence.
Identifies opportunities for improvement and recommends new practices, scalable processes, KPIs, and analytical models that enhance decision-making and business performance.

View full posting on CareerOneStop → ID: 77c7bdc3d14d

Business Intelligence Analyst

WPS Online, LLC · Bothell, WA

Mid-level Master's

2026-04-30

WA 2026-04-30

Requirements

Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.

Responsibilities

Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
Providing technical support for existing reports, dashboards, or other tools.
Providing reports through office applications to improve business processes.
Analyzing competitive market strategies through analysis of related products and markets.
Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
Managing timely flow of business intelligence information to users.
Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.

View full posting on CareerOneStop → ID: 494331878669

Business Intelligence Analyst

WPS Online, LLC · Bothell, WA

Mid-level Master's

2026-04-30

WA 2026-04-30

Requirements

Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.

Responsibilities

Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
Providing technical support for existing reports, dashboards, or other tools.
Providing reports through office applications to improve business processes.
Analyzing competitive market strategies through analysis of related products and markets.
Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
Managing timely flow of business intelligence information to users.
Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.

View full posting on CareerOneStop → ID: c9796bdbf9c0

Business Intelligence Analyst

WPS Online, LLC · Bothell, WA

Mid-level Master's

2026-04-30

WA 2026-04-30

Requirements

Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.

Responsibilities

Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
Providing technical support for existing reports, dashboards, or other tools.
Providing reports through office applications to improve business processes.
Analyzing competitive market strategies through analysis of related products and markets.
Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
Managing timely flow of business intelligence information to users.
Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.

View full posting on CareerOneStop → ID: 673739589259

Healthcare Data Analyst

COMAGINE HEALTH · Seattle, WA

Mid-level Master's

2026-04-30

WA 2026-04-30

Requirements

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Education

Bachelor's degree (BA/BS) in a relevant field
Master's degree (MA/MS) preferred

View full posting on CareerOneStop → ID: 02d1175bb024

Sr. Healthcare Data Analyst

Comagine Health · Seattle, WA

Senior

2026-04-30

WA 2026-04-30

Responsibilities

Design and lead analytics for quality improvement, research, and care management projects
Develop and maintain dashboards, reports, and ad hoc analyses
Serve as a subject matter expert on healthcare data interpretation and use
Apply advanced statistical methods and programming solutions
Standardize analytic and reporting

View full posting on CareerOneStop → ID: a56f34b604ed

Senior Data Analyst

Cardinal Health · Boise, ID

Senior

2026-04-30

ID 2026-04-30

View full posting on CareerOneStop → ID: 36d8c2d447aa

Senior Data Analyst

Cardinal Health · Salem, OR

Senior

2026-04-30

OR 2026-04-30

View full posting on CareerOneStop → ID: 46baaca117a4

Senior Data Analyst

Cardinal Health · Helena, MT

Senior

2026-04-30

MT 2026-04-30

View full posting on CareerOneStop → ID: ec7e937b262c

Senior Data Analyst

Cardinal Health · Cheyenne, WY

Senior

2026-04-30

WY 2026-04-30

View full posting on CareerOneStop → ID: 84d676b7df0d

Healthcare Data Analyst

COMAGINE HEALTH · Murray, UT

Mid-level

2026-04-30

UT 2026-04-30

View full posting on CareerOneStop → ID: 1dab6678df9a

Senior Data Analyst

Cardinal Health · Salt Lake City, UT

Senior

2026-04-30

UT 2026-04-30

View full posting on CareerOneStop → ID: 3e6fd89edefd

Sr. Healthcare Data Analyst

COMAGINE HEALTH · Murray, UT

Senior

2026-04-30

UT 2026-04-30

View full posting on CareerOneStop → ID: d97a107fee77

Senior Data Analyst

Cardinal Health · Carson City, NV

Senior

2026-04-30

NV 2026-04-30

View full posting on CareerOneStop → ID: 43ac2bd7230f

Senior Data Analyst

Cardinal Health · Bismarck, ND

Senior

2026-04-30

ND 2026-04-30

View full posting on CareerOneStop → ID: 34229536173f

Senior Data Analyst

Cardinal Health · Pierre, SD

Senior

2026-04-30

SD 2026-04-30

View full posting on CareerOneStop → ID: fa3f107a17cb

Senior Data Analyst

Cardinal Health · Phoenix, AZ

Senior

2026-04-30

AZ 2026-04-30

View full posting on CareerOneStop → ID: 8b0e7a87c8e6

Senior Manager - Data Analytics

American Express · Phoenix, AZ

Manager

2026-04-30

AZ 2026-04-30

View full posting on CareerOneStop → ID: 8be3b1138631

Senior Data Analyst

Cardinal Health · Santa Fe, NM

Senior

2026-04-30

NM 2026-04-30

View full posting on CareerOneStop → ID: 7ebd63ec459c

Senior Data Analyst

Cardinal Health · Denver, CO

Senior

2026-04-30

CO 2026-04-30

View full posting on CareerOneStop → ID: 70071c73948e

Senior Data Analyst

Cardinal Health · Lincoln, NE

Senior

2026-04-30

NE 2026-04-30

View full posting on CareerOneStop → ID: caad96d1970b

Senior Data Analyst

Cardinal Health · Topeka, KS

Senior

2026-04-30

KS 2026-04-30

View full posting on CareerOneStop → ID: 61e7d98827b9

Senior Data Analyst

Cardinal Health · Oklahoma City, OK

Senior

2026-04-30

OK 2026-04-30

View full posting on CareerOneStop → ID: 679b45a180d3

Senior Data Analyst

Cardinal Health · Saint Paul, MN

Senior

2026-04-30

MN 2026-04-30

View full posting on CareerOneStop → ID: 80fa7474e8a3

Sr Data Analyst

Target · Minneapolis, MN

Senior

2026-04-30

MN 2026-04-30

View full posting on CareerOneStop → ID: b29439c14631

Sr Data Analyst

Target · Brooklyn Park, MN

Senior

2026-04-30

MN 2026-04-30

View full posting on CareerOneStop → ID: c4b99da9a01d

OCHIN EPIC FINANCIAL DATA ANALYST

Sioux Land Community Health · Sioux City, IA

Mid-level

2026-04-30

IA 2026-04-30

View full posting on CareerOneStop → ID: eeb143efa47c

Senior Data Analyst

Cardinal Health · Des Moines, IA

Senior

2026-04-30

IA 2026-04-30

View full posting on CareerOneStop → ID: c4332dba342e

Senior Data Analyst

Cardinal Health · Jefferson City, MO

Senior

2026-04-30

MO 2026-04-30

View full posting on CareerOneStop → ID: 9563764824a1

Sr Data Analyst/Content Manager- Arnold, MO

BAE Systems · Saint Louis, MO

Manager

2026-04-30

MO 2026-04-30

View full posting on CareerOneStop → ID: 09d41bf7f64a

Director, Data Analytics, Walmart+

Walmart · Bentonville, AR

Director

2026-04-30

AR 2026-04-30

View full posting on CareerOneStop → ID: f20359e4c783

Senior Data Analyst

Cardinal Health · Little Rock, AR

Senior

2026-04-30

AR 2026-04-30

View full posting on CareerOneStop → ID: 872e1166b33b

Senior Manager, Data Analytics, Utility - Walmart Energy

Walmart · Bentonville, AR

Manager

2026-04-30

AR 2026-04-30

View full posting on CareerOneStop → ID: 6e7609a2d3f1

Senior Data Analyst

Cardinal Health · Baton Rouge, LA

Senior

2026-04-30

LA 2026-04-30

View full posting on CareerOneStop → ID: 0e5bc9350cdd

Business Intelligence Insights Analyst

ManpowerGroup · Milwaukee, WI

Mid-level

2026-04-30

WI 2026-04-30

View full posting on CareerOneStop → ID: 61c71cbd4395

Data Analytics Associate

BAKER TILLY ADVISORY GROUP, LP. · Milwaukee, WI

Entry-level

2026-04-30

WI 2026-04-30

View full posting on CareerOneStop → ID: f1b0c39920cc

Senior Data Analyst

Cardinal Health · Madison, WI

Senior

2026-04-30

WI 2026-04-30

View full posting on CareerOneStop → ID: 2013481e841c

Senior Data Analyst

Cardinal Health · Jackson, MS

Senior

2026-04-30

MS 2026-04-30

View full posting on CareerOneStop → ID: dbb9246a2981

Data Analyst Student Employee

Auburn University · Auburn, AL

Mid-level

2026-04-30

AL 2026-04-30

View full posting on CareerOneStop → ID: 6f81b2d5d41f

Senior Data Analyst

Cardinal Health · Nashville, TN

Senior

2026-04-30

TN 2026-04-30

View full posting on CareerOneStop → ID: 0265e5338193

Business Intelligence Analyst 1

Chegg Inc. · Frankfort, KY

Mid-level

2026-04-30

KY 2026-04-30

View full posting on CareerOneStop → ID: 63de2fdeeaaf

Senior Data Analyst

Cardinal Health · Frankfort, KY

Senior

2026-04-30

KY 2026-04-30

View full posting on CareerOneStop → ID: aaa7382f86fa

Business Intelligence Analyst 1

Chegg Inc. · Malta, MT

Mid-level

2026-04-30

MT 2026-04-30

View full posting on CareerOneStop → ID: 02be2c0cb775

Business Intelligence Engineer, Amazon Music DISCO

Amazon · Seattle, WA

Mid-level

2026-04-29

WA 2026-04-29

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Lead analytics and insights efforts for the marketing attribution project for Amazon Music.
Work as the internal lead analytics consultant for marketing teams and collaborate on long-term strategy together.
Define and deliver reporting and visualization that supports the analytical needs of internal business leaders.
Drive self-service solutions for senior business stakeholders informing marketing investment decisions.
Use analytical insights to help increase business and team effectiveness against key strategic goals.
Build a thorough understanding of the streaming music industry, the subscription business model, and key internal partners across Prime, Amazon devices, media and entertainment businesses.
Partner with analytics and science teams across Amazon entertainment and subscription businesses.
Evangelize analytics, insights, and measurement across internal teams by writing whitepapers, knowledge documentation and delivering learning sessions.

View full posting on CareerOneStop → ID: 04373d7c93a5

Business Intelligence Engineer, ASP BI

Amazon · Seattle, WA

Mid-level Master's

2026-04-29

WA 2026-04-29

Requirements

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Familiarity with Agentic AI concepts, LLMs, or Generative AI tooling in a BI context

Preferred

Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis
Experience working in a Sales Operations analytics environment

Responsibilities

Explore and learn the latest AWS technologies and contribute to the team's Agentic reporting development initiatives.
Implement data pipelines from disparate sources to ingest, transform, and store data in a scalable format that other BI builders can leverage for similar metrics.
Gather and understand data requirements by working with cross-functional teams to achieve high-quality and scalable data solutions for our products and mechanisms.
Dive deep into requirements to unearth optimal reporting design (e.g., key dimensions, broadest reporting audience, scalability) with Operations leads and drive constructive technical discussions.
Build end-to-end BI solutions, from data sourcing through visualization and enablement.
Determine data lineage to understand the chain of custody and transformation of data, and build enablement material that scales the impact of your solutions.
Create interactive data visuals with QuickSight, and other AWS-native visualization tools.
Contribute to the curation and maintenance of centralized knowledge repositories and sources of truth for Partner metrics.
Support Executive Reporting (Organizational Level 1-4) including in-depth analyses and standardized reporting sources for ASP LT, SMGS LT, and S-Team reporting.
Participate in causation/correlation research ("finding the Why") to provide proactive insight into trends, churn drivers, and actionable levers.
You will build scalable reporting artifacts used across the ASP Partner Organization, partnering with Line of Business BI Teams to tell the Partner ecosystem story. You will create trusted data artifacts and Agentic flows, act as an SME on top-line metric drivers, and communicate actionable insights to both technical and non-technical stakeholders. You will contribute to Agentic reporting development, knowledge curation, and causation research - building reporting that is transparent, precise, and tailored for the personas who consume it.

View full posting on CareerOneStop → ID: c39b5d5806ac

Business Intelligence Engineer, WHS Data

Amazon · Bellevue, WA

Mid-level Bachelor's

2026-04-29

WA 2026-04-29

Requirements

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Bachelor's degree

Preferred

Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis

Responsibilities

Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership
Identify opportunities and key criteria to drive analytical reporting and business strategy
Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
Simplify and automate reporting, audits, and other data-driven activities
Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights
Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
Learn new technology and techniques to meaningfully support product and process innovation

View full posting on CareerOneStop → ID: 29166dba5f63

Data Analytics Manager- Data Lake

Deloitte · Seattle, WA

Manager Bachelor's

2026-04-29

WA 2026-04-29

Requirements

6+ years of relevant analytics consulting or industry experience
4+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.)
4+ years of experience in statistical analysis, machine learning, and data mining techniques
4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions
3+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
2+ years of experience with SOC threat hunting and incident response
Demonstrated expertise leading multiple full life cycle analytics engagements across strategy, design, and implementation
Experience leading teams, managing workstreams, and driving delivery quality in a client-facing environment
Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience
Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available

Preferred

Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
Experience parsing and normalizing cyber or IT specific telemetry datasets
Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
Ability to work independently and manage multiple task assignments.
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).

View full posting on CareerOneStop → ID: b6368c231586

Data Analytics Senior Consultant - Data Lake

Deloitte · Seattle, WA

Senior Bachelor's

2026-04-29

WA 2026-04-29

Requirements

2+ years of relevant Analytics consulting or industry experience
2+ Experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (Langchain, CrewAI, etc.)
2+ years experience in statistical analysis, machine learning, and data mining techniques.
2+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
2+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
1+ years of experience with SOC threat hunting and incident response
Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation.
Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available.

Preferred

Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
Experience parsing and normalizing cyber or IT specific telemetry datasets
Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
Ability to work independently and manage multiple task assignments.
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).

View full posting on CareerOneStop → ID: ba20a03fc778

Senior Software Engineer, Google.org, Data Analytics

Google · Seattle, WA

Senior Doctorate

2026-04-29

WA 2026-04-29

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
Experience in SQL.

Preferred

Master's degree or PhD in Computer Science, or a related technical field.
5 years of experience with data structures and algorithms.
5 years of experience with performance and large-scale systems data analysis, visualization tools, or debugging.
Experience supporting non-profits or other philanthropic organizations.

Responsibilities

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
We strive to organize the world's information to make it universally accessible and useful, but we know that relevance means something different to each person. The Social team recognizes that great information is more than pages -- it's also about relationships. We want all of Google's products to reflect something personal, and we're dedicated to making your Google experience centered around you.
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Own the design and architecture of project components, scoping problems and recommending solutions for both short and long-term needs.
Drive the evaluation and recommendation of AI strategies (e.g., prompt engineering) to solve technical problems and increase team velocity.
Implement high-complexity technical solutions.
Design and execute testing strategies, including integration and performance testing, to ensure quality and reliability.
Guide implementation, ensuring the systems are scalable and maintainable.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: ea94affa2189

Sr. Business Intelligence Engineer, ASP Ops - WWSO Sales & Biz Ops

Amazon · Seattle, WA

Senior Master's

2026-04-29

WA 2026-04-29

Requirements

10+ years of professional or military experience
5+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Master's degree in statistics, data science, or an equivalent quantitative field
Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
Experience visualizing data in Tableau or other relevant data visualization software
Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in computer architecture

Responsibilities

Architect and develop scalable and resilient data solutions, using both traditional dashboards and AI Agents, enabling self-service business intelligence for analytics users.
Build ETL pipelines, statistical models, and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities.
Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes
Collaborate with product managers, engineers, data scientists, and business stakeholders to understand strategies, goals, and objectives, and align the analytics roadmap accordingly.
Design and implement end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress.
Perform complex analyses to inform product strategy, design, and business priorities, presenting insights and recommendations to senior leadership.
Continuously improve reporting and processes, automating and scaling solutions while ensuring stability and performance.
Identify opportunities for new metrics, techniques, and strategies to enhance targeting, measurement, and overall product capabilities.
Stay up-to-date with industry trends and best practices, contributing to the team's evolution through Agentic AI.

View full posting on CareerOneStop → ID: 2c9c7f2c10ff

Manager Data Analytics

Serco · Olympia, WA

Manager Bachelor's

2026-04-29

WA 2026-04-29

Requirements

At Serco, we deliver mission-critical services and technology solutions that enable our government customers to operate more effectively, securely, and efficiently. We support complex federal missions across defense, civilian, and intelligence domains by combining deep domain expertise with modern digital, data, and cloud capabilities. Our teams are trusted partners to our customers, committed to technical excellence, innovation, and disciplined execution in highly regulated environments.
We are seeking a Data Analytics Manager. This role will be responsible for building, managing, and enabling high-performing data analytics teams that deliver solutions employing data management, operations research, machine learning, statistics, business intelligence, and low-code automation for internal initiatives and government contracts.
*This position is contingent upon your ability to obtain/maintain a Secret security clearance
*In this role, you will:
Perform advanced analysis and develop tools to advance digital transformation efforts.
Use and mentor others in methods of data management, operations research, machine learning, statistics, business intelligence, and low-code automation (e.g., Power Platform)
Partner with program managers, data scientists, data engineers, cybersecurity staff, and customer stakeholders to translate mission and business requirements into robust technical data solutions.
Support capture and proposal efforts by defining analytics approaches, estimating level of effort, and articulating technical solutions for government solicitations.
Identify opportunities to insert automation, digital tools, and data visualization to help customers make data-driven decisions.
Provide technical leadership and risk management across multiple programs, ensuring consistent, repeatable delivery of data analytics capabilities.
*To be successful in this role, you will have:
U.S Citizenship
An active Secret Security Clearance, or the ability to obtain one
Bachelor's degree in computer science, engineering, information systems, operations research, data science, or a related technical discipline
Additional 10 years of experience may be substituted for a STEM degree
Minimum of 5 years of progressive experience in data analytics, data science, operations research, or closely related roles, including 2 years in a technical leadership or management capacity
Hands-on experience with data analytics and automation technologies such Python, R, SQL, Power Platform (Power Apps, Power Automate), and business intelligence tools (e.g., Power BI)
Working knowledge of artificial intelligence concepts and their relationship to data analytics, including where AI can augment analysis, automation, and decision-making, as well as limitations, risks, and ethical considerations
Knowledge of use cases and developing models that include the use of probability, statistics, simulation, optimization, machine learning, and heuristics
Knowledge of various data management frameworks, principles, and best practices
Knowledge of data management maturity assessment processes and implementation
Strong leadership, communication, and stakeholder engagement skills, with the ability to explain complex technical concepts to non-technical audiences
Experience deploying solutions in government or highly regulated environments, with an understanding of compliance, documentation, and operational rigor expectations
Ability to travel up to 10%

Preferred

Experience contributing to technical proposals, white papers, or solution architectures for government customers
Security + certification or other cyber certification/experience
If you are interested in supporting and working with our military leaders and a passionate Serco team- then submit your application now for immediate consideration. It only takes a few minutes and could change your career!

View full posting on CareerOneStop → ID: b393ca21667a

Data Analytics Associate

Baker Tilly US, LLP · Seattle, WA

Entry-level

2026-04-29

WA 2026-04-29

Responsibilities

As a Data Analytics Associate, you will be a critical team member of the firm Data and Analytics team. This role is a specialized role focused on supporting our service lines with insights, reports, and analysis for decision-making and efficiency improvement processes. You will work closely with the Data Solutions, Data Operations, Finance, Data Analytics, and client-facing teams to develop business critical analysis and reporting to enable data driven decisions.
Develops and maintains service line related data, reports, and dashboards for client-facing teams and their leaders with a focus on reporting revenue, opportunity, and other key metrics, providing actionable insights to increase visibility and eff

View full posting on CareerOneStop → ID: 7f246762b363

Data Analyst

WaveDivision Holdings LLC · Bellingham, WA

Mid-level

2026-04-29

WA 2026-04-29

*Astound is a leading provider of internet, WiFi, mobile, and TV services, dedicated to connecting communities and empowering lives through innovative technology. We also keep businesses connected with dependable fiber infrastructure and internet solutions backed by award-winning service, helping or

View full posting on CareerOneStop → ID: 4a09189c2635

Manager Data Analytics

Serco · Boise, ID

Manager

2026-04-29

ID 2026-04-29

View full posting on CareerOneStop → ID: 4fa337c3be9e

Manager Data Analytics

Serco · Salem, OR

Manager

2026-04-29

OR 2026-04-29

View full posting on CareerOneStop → ID: 170e2e0958ee

Manager Data Analytics

Serco · Helena, MT

Manager

2026-04-29

MT 2026-04-29

View full posting on CareerOneStop → ID: f14303237bfd

Manager Data Analytics

Serco · Cheyenne, WY

Manager

2026-04-29

WY 2026-04-29

View full posting on CareerOneStop → ID: 2ade92727292

Manager Data Analytics

Serco · Salt Lake City, UT

Manager

2026-04-29

UT 2026-04-29

View full posting on CareerOneStop → ID: 4e5db0a9164a

Manager Data Analytics

Serco · Carson City, NV

Manager

2026-04-29

NV 2026-04-29

View full posting on CareerOneStop → ID: 9715258e485c

Manager Data Analytics

Serco · Bismarck, ND

Manager

2026-04-29

ND 2026-04-29

View full posting on CareerOneStop → ID: 84f5d575c422

Manager Data Analytics

Serco · Pierre, SD

Manager

2026-04-29

SD 2026-04-29

View full posting on CareerOneStop → ID: 2845198a0156

Manager Data Analytics

Serco · Phoenix, AZ

Manager

2026-04-29

AZ 2026-04-29

View full posting on CareerOneStop → ID: 798e037794e3

Manager Data Analytics

Serco · Santa Fe, NM

Manager

2026-04-29

NM 2026-04-29

View full posting on CareerOneStop → ID: a1f0b6bbc51b

Data Analyst/IT System Support-Hybrid Work Model

Arapahoe County Government · Aurora, CO

Mid-level

2026-04-29

CO 2026-04-29

View full posting on CareerOneStop → ID: ae6aafad35a0

Manager Data Analytics

Serco · Denver, CO

Manager

2026-04-29

CO 2026-04-29

View full posting on CareerOneStop → ID: 682793e47ff4

Senior Data Analyst

Advanced Energy · Denver, CO

Senior

2026-04-29

CO 2026-04-29

View full posting on CareerOneStop → ID: 93f56d9437ba

Manager Data Analytics

Serco · Lincoln, NE

Manager

2026-04-29

NE 2026-04-29

View full posting on CareerOneStop → ID: 5a75495a1435

Manager Data Analytics

Serco · Topeka, KS

Manager

2026-04-29

KS 2026-04-29

View full posting on CareerOneStop → ID: 376458a3e300

Manager Data Analytics

Serco · Oklahoma City, OK

Manager

2026-04-29

OK 2026-04-29

View full posting on CareerOneStop → ID: 50006b2555e6

Manager Data Analytics

Serco · Saint Paul, MN

Manager

2026-04-29

MN 2026-04-29

View full posting on CareerOneStop → ID: 7bc1eba32da1

Manager Data Analytics

Serco · Des Moines, IA

Manager

2026-04-29

IA 2026-04-29

View full posting on CareerOneStop → ID: c807afa0e5c1

Manager Data Analytics

Serco · Jefferson City, MO

Manager

2026-04-29

MO 2026-04-29

View full posting on CareerOneStop → ID: f78e111af159

Data Analyst II - LMD Fraud Prevention

Walmart · Bentonville, AR

Mid-level

2026-04-29

AR 2026-04-29

View full posting on CareerOneStop → ID: 38beb2d90b80

Manager Data Analytics

Serco · Little Rock, AR

Manager

2026-04-29

AR 2026-04-29

View full posting on CareerOneStop → ID: 61bb8c6e86ef

Manager Data Analytics

Serco · Baton Rouge, LA

Manager

2026-04-29

LA 2026-04-29

View full posting on CareerOneStop → ID: 04613df35920

Manager Data Analytics

Serco · Jackson, MS

Manager

2026-04-29

MS 2026-04-29

View full posting on CareerOneStop → ID: 4b6a346c2411

Manager Data Analytics

Serco · Montgomery, AL

Manager

2026-04-29

AL 2026-04-29

View full posting on CareerOneStop → ID: a00f018b8b6b

Data Analytics Manager- Data Lake

Deloitte · Hermitage, TN

Manager

2026-04-29

TN 2026-04-29

View full posting on CareerOneStop → ID: 2ecc3c9bf8e5

Data Analytics Manager- Data Lake

Deloitte · Memphis, TN

Manager

2026-04-29

TN 2026-04-29

View full posting on CareerOneStop → ID: 7ab0413691ec

Data Analytics Manager- Data Lake

Deloitte · Nashville, TN

Manager

2026-04-29

TN 2026-04-29

View full posting on CareerOneStop → ID: ca2c9395d08c

Data Analytics Senior Consultant - Data Lake

Deloitte · Nashville, TN

Senior

2026-04-29

TN 2026-04-29

View full posting on CareerOneStop → ID: 6339a6f237a5

Data Analytics Senior Consultant - Data Lake

Deloitte · Memphis, TN

Senior

2026-04-29

TN 2026-04-29

View full posting on CareerOneStop → ID: 013a5d966579

Data Analytics Senior Consultant - Data Lake

Deloitte · Hermitage, TN

Senior

2026-04-29

TN 2026-04-29

View full posting on CareerOneStop → ID: 5b3ccfe5d075

Manager Data Analytics

Serco · Nashville, TN

Manager

2026-04-29

TN 2026-04-29

View full posting on CareerOneStop → ID: cda60a2460f8

Manager Data Analytics

Serco · Frankfort, KY

Manager

2026-04-29

KY 2026-04-29

View full posting on CareerOneStop → ID: edeab7f0ee4d

Business Intelligence Engineer, Amazon Games

Amazon · Seattle, WA

Mid-level

2026-04-28

WA 2026-04-28

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
3+ years of processing large, multi-dimensional datasets from multiple sources experience
3+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
Experience with data modeling, warehousing and building ETL pipelines
Experience writing complex SQL queries
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience in Games Industry (supporting title Development, Release, or Live Ops)

Responsibilities

Own the end-to-end analytics framework for our game portfolio, including defining KPIs, building automated ETL processes, and creating dashboards that enable data-driven decision making
Partner with game development teams to design and instrument telemetry, ensuring comprehensive and reliable data capture that supports analytics, reporting, and product decisions
Conduct deep-dive analyses on player behavior and translate findings into actionable recommendations for game teams and leadership
Build and maintain reporting mechanisms for internal and external partnerships across game development, platforms, marketing, and distribution
Develop self-service reporting tools and documentation that enable stakeholders to independently access and interpret data
Communicate findings and recommendations to both technical and non-technical audiences, including leadership, through written documents and presentations
Evaluate and adopt new technologies and methodologies to continuously improve the analytics platform and team capabilities

View full posting on CareerOneStop → ID: 483e314e2ef2

Senior Solutions Architect - Data Analytics & AI, Partner Solutions Architect

Amazon · Bellevue, WA

Senior Bachelor's

2026-04-28

WA 2026-04-28

Requirements

Bachelor's degree
5+ years of design, implementation, or consulting in applications and infrastructures experience
Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
2+ years of technology/software sales experience

Preferred

Experience in a customer-facing role such as solutions architect, technical consultant, or professional services
Experience with Deep Learning architectures and Transformer models (BERT, GPT, T5, etc.) including training, fine-tuning, and deployment at scale
Experience with Agentic AI Solution Framework including (Multi-agent system architecture and orchestration patterns (supervisor agents, agent-to-agent collaboration, Integration with agentic frameworks, Agentic protocols including Model Context Protocol (MCP) and Agent-to-Agent (A2A), Memory management strategies (short-term/long-term memory, session state, context management)
Experience with publications, presentations, or speaking engagements at industry conferences on AI/ML or data architecture topics

Responsibilities

Architect and design scalable AI/ML and data solutions with strategic partners using AWS services (Amazon Bedrock, SageMaker, Redshift, EMR, Kinesis, and other AI/data services)
Provide technical leadership on complex partner opportunities, guiding solution architecture from ideation through production deployment
Lead solution ideation sessions and technical account planning with partners to identify opportunities for AI/ML and data-driven solutions
Conduct architectural reviews and provide best practices guidance on data platform design, ML pipelines, and AI solution patterns
Design and implement agentic AI solutions using Amazon Bedrock AgentCore, AWS Strands Agents SDK, and multi-agent orchestration patterns
Guide partners in building production-grade autonomous AI systems across horizontal (SDLC/application modernization) and vertical (industry-specific) use cases
Drive partner enablement through technical workshops, immersion days, and thought leadership content focused on AI/ML and data architecture
Collaborate with AWS product teams to provide partner feedback and influence AI/ML and data service roadmaps
Ensure security, compliance, and architectural excellence in partner-built solutions through structured review frameworks
Support partner competency development and certification in AI/ML and data analytics domains
Review and respond to partner technical questions via email and Slack. Join architecture review calls to validate partner solution designs. Write code samples and integration guides for partner engineering teams. Conduct hands-on workshops demonstrating AWS service integration patterns. Collaborate with AWS account teams on joint customer opportunities. Update technical documentation and reference architectures. Troubleshoot partner deployment issues and optimize performance. Meet with partner product managers/CPO/CTO to discuss roadmap alignment. Create demo environments showcasing joint solutions. Present solution to Partner's customers. Provide feedback to AWS service teams based on partner requirements.

View full posting on CareerOneStop → ID: be5fe0cbd6ee

Sr. Business Intelligence Engineer , AWS GDSP 3PX

Amazon · Seattle, WA

Senior Master's

2026-04-28

WA 2026-04-28

Requirements

Experience with theory and practice of design of experiments and statistical analysis of results
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Experience working directly with business stakeholders to translate between data and business needs
Experience with data visualization using Tableau, Quicksight, or similar tools

Preferred

Experience managing, analyzing and communicating results to senior leadership
Master's degree in statistics, data science, or an equivalent quantitative field
Experience integrating multiple loosely connected datasets to tell a consistent end-to-end story
Experience in the application of GenAI technologies to drive operational efficiencies and speed to insights

Responsibilities

Lead business discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing.
Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services.
Develop a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.
Develop relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues.
Manage and develop analytical tools or reports that through the automation existing inspection mechanisms such as business reviews, annual planning, and forecasting processes.
Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.
Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems,
Create new mechanisms and business processes that simplifies, standardizes and enables operational excellence.

View full posting on CareerOneStop → ID: 963939817135

Financial Data Analyst

U.S. Bank · Earth City, MO

Mid-level

2026-04-28

MO 2026-04-28

View full posting on CareerOneStop → ID: a3b1cd1ecbd4

Assoc Director Data Analytics

Uniti · Little Rock, AR

Director

2026-04-28

AR 2026-04-28

View full posting on CareerOneStop → ID: 4b5799daf7ad

Manager, Data Analytics CES

Walmart · Bentonville, AR

Manager

2026-04-28

AR 2026-04-28

View full posting on CareerOneStop → ID: 4673d2d1111e

Principal, Data Analyst - Decision Sciences

Walmart · Bentonville, AR

Senior

2026-04-28

AR 2026-04-28

View full posting on CareerOneStop → ID: 12d2a8c48470

Senior Manager, Data Analytics (Supplier Finance Data Strategy)

Walmart · Bentonville, AR

Manager

2026-04-28

AR 2026-04-28

View full posting on CareerOneStop → ID: 3f1b1d369827

Senior Manager, Data Analytics-CES Data Enablement (Return Business)

Walmart · Bentonville, AR

Manager

2026-04-28

AR 2026-04-28

View full posting on CareerOneStop → ID: d27c92d35a5f

Data Analyst

Robert Half · New Orleans, LA

Mid-level

2026-04-28

LA 2026-04-28

View full posting on CareerOneStop → ID: 9027d9916829

Business Intelligence Engineer, Private Brands Finance

Amazon · Seattle, WA

Mid-level

2026-04-25

WA 2026-04-25

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience using Python scripting to process data for modeling

Responsibilities

Own the architecture and development of scalable, reliable data pipelines and reporting infrastructure that support APB Finance's multi-dimensional P&L
Lead the design and delivery of self-service analytics tools and dashboards, enabling 200+ stakeholders to independently access and act on financial data
Drive deep-dive analyses on profitability drivers, cost structures, and category performance to inform strategic investment decisions
Partner with and influence senior Finance, Supply Chain, and Category leaders - proactively identifying analytical opportunities and translating business questions into data solutions
Lead and scope Gen-AI agent builds and automation projects that improve reporting efficiency and reduce manual effort across the finance organization
Support strategic planning cycles (OP1/OP2) with data modeling, scenario analysis, and performance benchmarking
Establish and champion best practices for data quality, pipeline reliability, and documentation standards

View full posting on CareerOneStop → ID: 269368f91544

Data Analyst - Power BI Developer

Capgemini · Bellevue, WA

Mid-level

2026-04-25

WA 2026-04-25

Requirements

Stronghands-on experience with Power BI , including dashboard design,report development, and workspace management.
Provenexpertise in data modeling (star schema, fact/dimensionmodeling, performance optimization).
Advancedproficiency in DAX for measures, time intelligence, andcomplex calculations.
Strong SQLskills , including writing complex queries, joins, aggregations, andperformance optimization.
Experienceanalyzing datasets and translating data insights into clear, business-friendlynarratives.
Abilityto translate business requirements into technical BI solutions withminimal guidance.
Excellentcommunication skills, with the ability to collaborate effectively withtechnical and non-technical stakeholders.

Preferred

Experienceworking with enterprise or centralized semantic models.
Familiaritywith data governance, security, and access controls in Power BI.
Experiencewith large-scale or enterprise BI reporting environments.
Exposureto Azure data services (e.g., Azure SQL, Azure Synapse, Data Lake) is aplus.
Strongdocumentation and presentation skills for executive or leadershipaudiences.
*Life atSogeti: Sogeti
supports all aspects of your well-being throughout the changing stages of you
life and career. For eligible employees, we offer:
Flexiblework options
401(k)with 150% match up to 6%
EmployeeShare Ownership Plan
Medical,Prescription, Dental & Vision Insurance
100%Company-Paid Mobile Phone Plan
3 WeeksPTO + 7 Paid Holidays
PaidParental Leave
Adoption,Surrogacy & Cryopreservation Assistance
SubsidizedBack-up Child/Elder Care & Tutoring
CareerPlanning & Coaching
$5,250Tuition Reimbursement & 20,000+ Online Courses
EmployeeResource Groups
Counseling& Support for Physical, Financial, Emotional & SpiritualWell-being
DisasterRelief Programs
the Capgemini Group, Sogeti makes business value through technology fo
organizations that need to implement innovation at speed and want a local
partner with global scale. With a hands-on culture and close proximity to
its clients, Sogeti implements solutions that will help organizations work
faster, better, and smarter. By combining its agility and speed of
implementation through a DevOps approach, Sogeti delivers innovative solutions
in quality engineering, cloud and application development, all driven by AI,
data and automation.
Your Best | www.sogeti.us

Responsibilities

are seeking a highly skilled Data Analyst (Power BI Developer) to
design, build, and maintain advanced Power BI dashboards that delive
actionable insights to business stakeholders. This role requires strong
expertise in data modeling, DAX, and SQL, along with the ability to translate
complex business requirements into scalable and intuitive BI solutions. The
ideal candidate is analytical, detail-oriented, and comfortable working closely
with business, engineering, and analytics partners to drive data-informed
decision-making.
Design,develop, and maintain advanced Power BI dashboards and reports thatprovide accurate, timely, and actionable insights to stakeholders.
Buildand optimize semantic data models to support scalable,consistent, and high-performing BI solutions.
Write,optimize, and maintain DAX measures and calculated columns tosupport complex business logic and KPIs.
Analyzelarge and complex datasets to identify trends, patterns, risks, andopportunities.
Partnerwith business stakeholders to understand requirements , define KPIs,and translate needs into effective BI solutions.
Developand maintain SQL queries and views to extract, transform, andanalyze data from multiple data sources.
Ensuredata accuracy, integrity, and consistency across reports and dashboards.
Supportongoing dashboard enhancements, performance tuning, and user adoption.
Documentdata models, business logic, KPIs, and report definitions to supportgovernance and reuse.

View full posting on CareerOneStop → ID: a075aadeeb8b

Healthcare Data Analyst II

Premera Blue Cross · Mountlake Terrace, WA

Mid-level Bachelor's

2026-04-25

WA 2026-04-25

Requirements

Bachelor's Degree in Statistics, Mathematics, Information Systems, Computer Science, Finance, Information Management, Economics, or similar quantitative area or the equivalent of (4) years of work experience in field.
(2) years of experience in applying quantitative analytics tools, methods, and processes.
Previous experience provides strong working knowledge of health insurance industry, processes, and data requirements.

Preferred

VBA or SQL scripting skills.
Experience in data reporting and database design.
Experience producing operational reporting with analytics.
Experience creating and maintaining product reports based on analytic techniques.
Experience using software such as Microsoft Excel, SAS, or other analytical software.
*Knowledge, Skills, and Abilities
Strong reporting skills and ability to identify trends in business data.
Able to present analytical findings to non-technical audiences and effectively address questions pertaining to those findings.
Ability to use analytical methods to identify and troubleshoot errors and issues in work product and common datasets.
Good verbal, written, and presentation communication skills.
Good planning, prioritization, and organizational skills.
Strong problem solving and analytical skills.
Strong understanding of statistical and mathematical methods.
Knowledge of medical terminology, medical coding and billing, claims processing procedures and considerations, and clinical data and data requirements.
Knowledge of data requirements associated with PPI.
$80,200.00 - $130,200.00
_*National Plus salary range is used in higher cost of labor markets including Western Washington and Alaska_ _._
We're happy to discuss compensation further during the interview because we believe that open communication leads to better outcomes for all. We're committed to creating an environment where all employees are celebrated for their unique skills and contributions.
At Premera, we make healthcare work better. By focusing on improving our customers' experience purposefully and serving their needs passionately, we make the process easier, less costly, and more positive. Through empathy and advocacy, we change lives.

Responsibilities

Design, develop, and implement operational reporting and trend analysis for internal and external customers.
Collect, validate, and maintain data from internal and external sources.
Analyze data sets as appropriate for reporting and analytics using Excel, business intelligence tools, SAS, and Python.
Provide routine and ad hoc data reports and models for management using visualization and statistics to understand and solve business problems.
Troubleshoot issues as they arise and solve problems independently or collaboratively with other teammates.
Perform thorough review of data products and processes for content and accuracy and identify associated problems.
Work with stakeholders and teams to understand business questions and problems and to scope data and reporting requests.
Prepare documentation on all projects to enable peer review and ensure continuity of data product quality.

View full posting on CareerOneStop → ID: f8e3b25ee90b

Senior Business Intelligence Manager

MYRIAD GENETICS, INC. · Salt Lake City, UT

Manager

2026-04-25

UT 2026-04-25

View full posting on CareerOneStop → ID: c55ea3b0908c

Radiochemical Data Analyst (Post Doctoral Researcher)

Los Alamos National Laboratory · Los Alamos, NM

Mid-level

2026-04-25

NM 2026-04-25

View full posting on CareerOneStop → ID: d66b56cd53d8

GT Data Analyst

Consolidated Electrical Distributors · Omaha, NE

Mid-level

2026-04-25

NE 2026-04-25

View full posting on CareerOneStop → ID: 1a82230dc4fa

Sensory Scientist- Principal, Data Analyst

Walmart · Bentonville, AR

Senior

2026-04-25

AR 2026-04-25

View full posting on CareerOneStop → ID: 85a9990b6fd6

Business Intelligence Engineer, Customer Behavior Analytics

Amazon · Seattle, WA

Mid-level

2026-04-24

WA 2026-04-24

Requirements

10+ years of professional or military experience
5+ years of SQL experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

View full posting on CareerOneStop → ID: 377c9b3554de

Data Analyst, RCX

Amazon · Bellevue, WA

Mid-level Bachelor's

2026-04-24

WA 2026-04-24

Requirements

Bachelor's degree or equivalent work experience in Business, Engineering, Supply Chain, Transportation, Mathematics, Economics, Physics or another technical field
Experience performing data analysis using MS Excel and other Microsoft Office tools

Preferred

Experience working with the MS Office suite (Word, Excel, Outlook) and/or SQL in a professional environment

Responsibilities

Retrieving and analyzing data using Excel, SQL, and other data management systems
Monitoring existing metrics, analyzing data and partnering with internal/external teams to identify process and system improvement opportunities
Design, develop and maintain scalable, automated, user-friendly systems, reports, or dashboards to enable stakeholders to manage the business and drive effective decisions
Prepare and deliver business requirements reviews to leadership teams
Excellent writing skills, to create artifacts easily digestible by business and tech partners.
Be self-driven, and show ability to deliver on ambiguous projects with incomplete data

View full posting on CareerOneStop → ID: 93a60e92dfa1

Sr Business Intelligence Analyst

BECU · Seattle, WA

Senior

2026-04-24

WA 2026-04-24

Responsibilities

*Design Scalable Data Solutions:Influence and design data models, structures, and transformation logic that enableaccurateand consistent reporting across the organization.
*Own End-to-End Delivery:Lead the full lifecycle of analytical solutions, including requirements gathering, data mapping, solution design, validation, and implementation.
*Bridge Business & Technology:Serve as a liaison between business stakeholders and technical teams, translating complex needs into structured, data-driven solutions grounded in system capabilities.
*Partner on Data Systems & Archite

View full posting on CareerOneStop → ID: 5b69887eb0fe

Sr. Business Intelligence Engineer, AMZL ORBIT

Amazon · Bellevue, WA

Senior

2026-04-24

WA 2026-04-24

Requirements

10+ years of professional or military experience
5+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred

Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership

Responsibilities

Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
Lead and develop a team of Business Intelligence Engineers and Business Analysts
Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation
Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting

View full posting on CareerOneStop → ID: 9efccf8b0151

Staff Data Analyst

OKTA · Bellevue, WA

Senior Bachelor's

2026-04-24

WA 2026-04-24

Requirements

BS in CS, MIS, related technical degree
7+ years experience as a Data Analyst/Data Engineer/BI Develope
Excellent communication skills, both written and verbal, ability to work with all levels of the organization
Provide thought leadership on the evolution of our analytics maturity, moving beyond traditional descriptive dashboards toward predictive, AI-enabled solutions that utilize NLP and deep analysis to drive proactive decision-making
Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools
Advanced analytics, data science, AI/ML experience and techniques are a plus
Ability to work cross-functionally and communicate with technical and non-technic

Responsibilities

Serve as the definitive SME for Customer First analytics, defining the data models, metrics, and value drivers that steer company strategy.
Lead the exploration and integration of AI-driven tools to automate workflows and pioneer new methodologies for data discovery, including defining the foundational semantic models that power our AI agents.
Architect the analytics strategy for customer insights, leveraging product telemetry and public data to identify and predict risk and growth signals.
Own the vision for our semantic layer, ensuring it supports advanced modeling, self-service, and high-integrity dashboarding.
Participate in high-impact initiatives in predictive modeling (cross-sell, churn, LTV) that directly influence GTM execution.
Partner with leadership and account teams to translate raw insights into a high-impact, action oriented Command Center, empowering account teams to instantly prioritize and execute on the most urgent opportunities and risks.
Partner with Engineering to co-design data pipelines and transformations that ensure long-term scalability and data quality.
Set the bar for excellence in data storytelling and modeling, mentoring the broader team on best practices and process improvement.

View full posting on CareerOneStop → ID: efee5426c833

DATA ANALYTICS SPECIALIST

Army National Guard Units · Camp Murray, WA

Mid-level Bachelor's

2026-04-24

WA 2026-04-24

Summary This is a Washington National Guard Title 5 Excepted Service Technician position: DATA ANALYTICS SPECIALIST Location: Washington United States Property and Fiscal Office CAMP MURRAY, Washington 98430 Army National Guard Units Appointment Type: Permanent, excepted service Advertised as: Title

View full posting on CareerOneStop → ID: 3796816486c0

Assistant Professor, Data Analytics and Mathematics Career Track Teaching

Washington State University · Pullman, WA

Mid-level

2026-04-24

WA 2026-04-24

Responsibilities

*The Opportunity:
The Program in Data Analytics and the Department of Mathematics and Statistics at Washington State University (WSU) invites applications for an Assistant Professor (Teaching), career-track faculty position in Everett, WA, with a specialty in Data Analytics and Mathematics. This is a fixed-term, 9-month, 3-year appointment with the possibility of renewal. It is anticipated the successful candidate will begin the appointment on August 16, 2026.
We seek applicants with expertise in Data Science and Analytics who can contribute to instruction in data analytics and foundational applied mathematics. Relevant areas of expertise include data structures, artificial intelligence and machine learning, data mining, databases, data modeling, data ethics, corporate or business analytics, as well as applied and discrete mathematics areas that support data analytics, such as algebraic and quantitative reasoning, discrete structures, and mathematical foundations for business and data applications. The successful candidate will be expected to teach undergraduate courses for the Data Analytics program and the Department of Mathematics and Statistics, create curriculum innovation, and work with us to continue to develop and expand the Data Analytics program at WSU.
The responsibilities of the position are teaching and programmatic development (80%) and service to the program, department, college, university, community, and profession (20%). The successful candidate will be expected to teach courses within the Data Analytics undergraduate program. In addition, the successful candidate will w

View full posting on CareerOneStop → ID: 8b7c3956b881

Data Analytics and Automation On-Going Intern

Valero · Ardmore, OK

Intern

2026-04-24

OK 2026-04-24

View full posting on CareerOneStop → ID: 91a60ab42d08

Data Analytics and Automation On-Going Intern

Valero · Meraux, LA

Intern

2026-04-24

LA 2026-04-24

View full posting on CareerOneStop → ID: d78eeccd223e

Data Analytics and Automation On-Going Intern

Valero · Norco, LA

Intern

2026-04-24

LA 2026-04-24

View full posting on CareerOneStop → ID: c2423ff41fa8

Business Intel Engineer II, ORBIT

Amazon · Bellevue, WA

Mid-level

2026-04-23

WA 2026-04-23

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
Lead and develop a team of Business Intelligence Engineers and Business Analysts
Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation
Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting

View full posting on CareerOneStop → ID: 7e38e4946e01

Sr. Data Analyst, Commercial Intelligence

PitchBook Data · Seattle, WA

Senior Master's

2026-04-23

WA 2026-04-23

Requirements

Bachelor's degree in Business, Analytics, Statistics, Economics, or a related field (Master's preferred)
5+ years of experience in revenue operations, business analytics, marketing operations, sales operations, or a related analytical role
Strong understanding of B2B revenue and GTM met

Responsibilities

The Revenue Operations team is responsible for designing, maintaining, and continuously improving the systems, data, and insights that power PitchBook's go-to-market engine. Operating at the intersection of Sales, Marketing, Customer Success, Finance, Product, and IT, this team drives efficiency, visibility, and revenue impact across the full customer lifecycle.
We are seeking a Senior RevOps Data Analyst to help shape how the business measures performance, identifies growth opportunities, and makes data-driven decisions. This is more than an analytics role, it is a strategic partnership role for someone who combines strong business acumen with advanced analytical skills and a systems-level view of revenue.
In this role, you will serve as a trusted advisor to senior business leaders, translating complex data into clear insights that guide strategy, execution, and optimization across pipeline, revenue, and customer engagement. You will help build scalable analytics solutions, define success metrics, and elevate how teams use data to make decisions.
Partner with senior GTM and Revenue leaders to define success metrics, identify growth opportunities, and influence strategic decisions through data-backed insights
Leverage Salesforce (SFDC) reporting expertise to build and interpret reports and dashboards, translating complex data from systems like Marketo and Gong into clear, actionable insights. Provide visibility into pipeline health, customer lifecycle, and revenue performance while ensuring data integrity, consistent KPIs, and scalable reporting.
Design and maintain advanced reporting frameworks, dashboards, and models that surface insights across funnel performance, forecasting, retention, and expansion
Act as a trusted analytical advisor across Sales, Marketing, Customer Success, and Finance, providing a holistic view of revenue performance and operational efficiency
Ensure data quality, governance, and consistency across revenue systems and platforms, championing best practices and scalable processes
Identify opportunities for automation, advanced analytics, and predictive insights to improve efficiency, accuracy, and decision-making
Mentor analysts and business partners by promoting analytical rigor, a data-driven mindset, and adoption of best-in-class tools and practices
Collaborate closely with Product, Finance, IT, and GTM Operations teams to align insights with broader company objectives
Support company values through role modeling and strong cross-functional partnership
Participate in key company initiatives and projects as needed

View full posting on CareerOneStop → ID: 693bcd1e2212

Customer Remediation Quality Control Data Analyst - Consumer & Business Banking Risk

U.S. Bank · Gresham, OR

Mid-level Bachelor's

2026-04-23

WA 2026-04-23

Requirements

Seven to ten years of applicable experience
Bachelor's degree or equivalent work experience

Preferred

SQL/SAS coding experience
Five years of experience with bank systems
Five years in a reporting, analytics, or technology environment
Strong problem-solving, process facilitation, project management, and analytical skills
Excellent interpersonal, written, and verbal communication skills
Considerable knowledge of applicable laws, regulations, financial services, and regulatory trends that impact CBB
Advanced understanding of CBB products, services, systems, and associated risks/controls, as well as supporting operational functions
Python experience
Advanced Excel computer skills and database knowledge
Experience with SharePoint or TEAMS
Comfortable working in a team environment with layers of required review/approval
Ability to work in a fast-paced environment with large workloads

Responsibilities

The Customer Remediation Data Analyst in Consumer & Business Banking (CBB) Risk will participate in projects that require quality control, research, data compilation and analysis to ensure compliance with the bank's Customer Remediation Policy. The Analyst should have experience and a thorough understanding of the front-end systems (e.g. Hogan, CA-View, Fusion, Common Transactions, Safe Box Inquiry, Net-O, MSP, CACS, Doc Velocity) for the various business line processes.
Customer Remediation Support: The CBB Risk Data Team supports issue and business line management with research, data analysis, documentation and execution
Credible Challenge: The CBB Risk Data Team accepts ownership of the data used within all CBB customer remediation events. This includes confirmation to front line systems for any data created internally or obtained from an external source and verification of any component required during validation.
Maintain awareness of bank, regulatory, and industry changes and trends
Responsibilities may also include contributing to CBB Risk Data Team projects or project implementation
Perform other duties as assigned

View full posting on CareerOneStop → ID: 644a4fc9cc09

Customer Remediation Quality Control Data Analyst - Consumer & Business Banking Risk

U.S. Bank · Fargo, ND

Mid-level

2026-04-23

ND 2026-04-23

View full posting on CareerOneStop → ID: d3f94b9d85f6

Customer Remediation Quality Control Data Analyst - Consumer & Business Banking Risk

U.S. Bank · Overland Park, KS

Mid-level

2026-04-23

KS 2026-04-23

View full posting on CareerOneStop → ID: cda3a1432f54

Senior Data Analyst - Reservoir Engineering

Continental Resources · Oklahoma City, OK

Senior

2026-04-23

OK 2026-04-23

View full posting on CareerOneStop → ID: 68def222ab02

Customer Remediation Quality Control Data Analyst - Consumer & Business Banking Risk

U.S. Bank · Earth City, MO

Mid-level

2026-04-23

MO 2026-04-23

View full posting on CareerOneStop → ID: 7b8bdd0f676f

(USA) Senior, Data Analyst - Last Mile Delivery - Fraud Detection

Walmart · Bentonville, AR

Senior

2026-04-23

AR 2026-04-23

View full posting on CareerOneStop → ID: ea76201d7158

Customer Remediation Quality Control Data Analyst - Consumer & Business Banking Risk

U.S. Bank · Owensboro, KY

Mid-level

2026-04-23

KY 2026-04-23

View full posting on CareerOneStop → ID: c72b4ac9eba5

Data Analyst 3 - Insights Enablement Hub (Hybrid - Seattle, WA)

Nordstrom · Seattle, WA

Mid-level

2026-04-22

WA 2026-04-22

Responsibilities

Nordstrom is reinventing the retail industry through the power of data and artificial intelligence. The vision for Data Science & Analytics at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by being relevant to the customer through an application of insight and prediction to outcomes.
The Data Analyst 3 role on the Insights Enablement Hub team is responsible for collecting, analyzing and presenting data to improve decision making and enable data-driven outcomes across the organization. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data. They should be able to communicate those insights in a way that builds confidence and enables decisions that drive business value.
We are part of Nordstrom's Insights Delivery organization, and the Insights Enablement Hub (IEH) team is at the center of enabling analytics at scale across the enterprise. Our focus areas include BI Transformation (migrating from legacy platforms to Looker), Looker platform enablement, Conversational Analytics, and Looker Studio Pro. We build data products, provide analytics consulting, and partner with teams across the business to accelerate the adoption of modern, self-service analytics. We work at the intersection of data engineering and analytics delivery with a passion for enabling data-driven decision making and a devotion to advanced techniques, along with a creative team spirit!
The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. We welcome your curiosity about the business, your passion to unlock rich, nuanced insights from complicated data and the desire to communicate those insights in a way that drives positive business outcomes.
Partner with key stakeholders to define success and develop measurement frameworks.
Dive deep into complex business problems and provide insights on business vertical performance through hypothesis testing.
Responsible for delivering a suite of analytical products include analyses, dashboards, insights, and recommendations.
Present the results to the stakeholders up to executive level and guide them to make the best use of analytics in their domain.
Find opportunities to use data to develop new strategies and improve overall performance.
Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners to drive outcomes.
Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise.
Reconcile divergent demands from multiple stakeholders in a fast-paced work environment.
Collect, analyze, and interpret data to support BI platform enablement, dashboard development, and Looker adoption across business teams.
Actively collaborate to apply learning to other channels/campaigns/products/business units.
You own this if you have...
Experience developing in Looker using LookML, including building Explores, views, derived tables, and dashboard content in a production Looker environment.
5+ years of professional experience analyzing data, drawing conclusions and making recommendations.
Strong coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data.
3+ years of experience extracting & manipulating large data sets from relational databases using SQL (BigQuery preferred; experience with other platforms such as Redshift, Oracle, or Teradata also valued).
Strong proficiency with advanced BI and visualization tools, including Looker (Looker Core, LookML, Looker Studio Pro), and familiarity with other platforms such as Tableau, Data Studio, or similar.
Clear and effective written/verbal communication and strong interpersonal skills.
Ability to develop strong, synergistic relationships with a multitude of teams and personnel
Strong problem solving skills:
Plan out the priority order of tasks
Make smart decisions regarding trade-offs.
You'll love this Job If You
...are a self-directed individual who operates with passion, urgency, focus, and discipline... put simply, you get-stuff-done.
...have problem solving skills that are unparalleled...you are scrappy and resourceful
...are an adaptable team player. You will enthusiastically take on other assignments as needed to support your team!
...are detailed-oriented with a knack for precision and accuracy in numbers and analyses.
...are someone who appreciates diversity in all its forms
...are someone who appreciates a company that values and encourages work-life balance.
We've got you covered...
Our employees are our most important asset and that's reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away

View full posting on CareerOneStop → ID: 55c7ad4cc0f7

Business Intelligence Analyst

University of Utah · Salt Lake City, UT

Mid-level

2026-04-22

UT 2026-04-22

View full posting on CareerOneStop → ID: 4d687cd64f94

Manager, Data Analytics - Marketplace Seller Fulfilled

Walmart · Bentonville, AR

Manager

2026-04-22

AR 2026-04-22

View full posting on CareerOneStop → ID: 945230858c75

Data Analyst

Our Community Credit Union · Shelton, WA

Mid-level Bachelor's

2026-04-21

WA 2026-04-21

Requirements

Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a related field, or equivalent experience
3 to 5 years of experience in data analytics, data engineering, or database management

Responsibilities

As a Data Analyst, you'll partner with teams like Lending, Marketing, Finance, Compliance, and IT to understand what matters most to the team, define the right metrics, and deliver reporting and analysis that drives action. Success in this role requires a proactive communication style, including asking thoughtful questions, confirming requirements, and sharing clear updates as work progresses. You'll create and maintain dashboards, perform ad hoc analysis, and help leaders understand trends in member, product, and operational performance.
This role also plays an important part in ensuring report accuracy and consistency- validating data, documenting definitions and logic, and working with IT to resolve data issues. You'll handle sensitive financial and member information with care and help improve data accessibility and reporting efficiency across the organization.
Design, develop, and maintain dashboards and reports to support business operations and strategic initiatives
Analyze member, product, and operational data to identify trends and opportunities for growth
Partner with stakeholders to translate business needs into meaningful analytics and reporting solutions
Provide strategic and actionable recommendations to optimize revenue, control expenses, and improve the member experience
Conduct data validation, reconciliation, and quality checks to ensure reporting accuracy
Investigate and resolve data inconsistencies in collaboration with IT and business teams
Document reporting logic, data sources, and methodologies for transparency and repeatability
Build and maintain SQL queries, scripts, data models, and ETL processes to enable reliable reporting and analysis
Support secure handling of sensitive financial and member data, including appropriate access management
Identify opportunities to improve processes, reporting efficiency, and data accessibility
*We're Seeking Someone Who Is:
Curious and analytical, with a strong logical approach to turning complex questions into clear metrics and insights
A problem-solver who can break down ambiguity, identify root causes, and propose practical next steps
Collaborative, open, and trustworthy, comfortable partnering within and across teams and sharing knowledge
Detail-oriented and committed to accuracy, consistency, and documentation
A proactive communicator, providing clear updates and surfacing risks, dependencies, or data limitations early
Service-minded, embracing our "people helping people" philosophy in day-to-day work by supporting colleagues and keeping the member impact at the center of analysis

View full posting on CareerOneStop → ID: 20e75152689e

Market Research/Data Analyst

Eliassen Group · Olympia, WA

Mid-level Master's

2026-04-21

WA 2026-04-21

Requirements

2 to 5 years of experience in an applied research setting.
Proficiency with PowerPoint, SPSS or DisplayR, and Qualtrics.
Experience synthesizing data into actionable insights for communications or business decision-making.
Background in consumer and social research methodologies.
Ability to operate effectively in a preferred hybrid setting in Washington, DC, or fully remote.
Capability to provide a writing sample that demonstrates research communication.

Education

Bachelor's degree required in Social Science, Marketing Research, or a related field.
Master's degree preferred in Social Science, Marketing Research, or a related field.
*_Recruitment Transparency Notice_
*_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._

Responsibilities

Develop and write small-scale surveys, screeners, and interview guides.
Manage vendor deliverables by maintaining research files, performing quality checks, and tracking timelines.
Conduct statistical analyses using SPSS and other analytic packages.
Create reports and presentations, including charts and tables, using Excel and PowerPoint.
Verify accuracy of data and assure the quality of research reports through cross-referencing.
Compile, synthesize, and analyze secondary research from syndicated sources for internal sharing.
Collaborate across the research team on ad hoc data requests and support fast-moving projects.

View full posting on CareerOneStop → ID: b2a060b7a207

Market Research/Data Analyst

Eliassen Group · Boise, ID

Mid-level

2026-04-21

ID 2026-04-21

View full posting on CareerOneStop → ID: d4064dcc53c7

Market Research/Data Analyst

Eliassen Group · Salem, OR

Mid-level

2026-04-21

OR 2026-04-21

View full posting on CareerOneStop → ID: b25de523c188

Market Research/Data Analyst

Eliassen Group · Helena, MT

Mid-level

2026-04-21

MT 2026-04-21

View full posting on CareerOneStop → ID: 3d519fd188a0

Market Research/Data Analyst

Eliassen Group · Cheyenne, WY

Mid-level

2026-04-21

WY 2026-04-21

View full posting on CareerOneStop → ID: c4b1679449ac

Market Research/Data Analyst

Eliassen Group · Salt Lake City, UT

Mid-level

2026-04-21

UT 2026-04-21

View full posting on CareerOneStop → ID: ab7370bf025c

Market Research/Data Analyst

Eliassen Group · Carson City, NV

Mid-level

2026-04-21

NV 2026-04-21

View full posting on CareerOneStop → ID: 685a42ae3591

Market Research/Data Analyst

Eliassen Group · Bismarck, ND

Mid-level

2026-04-21

ND 2026-04-21

View full posting on CareerOneStop → ID: d6eb47f8f28d

Data Analyst

Insight Global · Sioux Falls, SD

Mid-level

2026-04-21

SD 2026-04-21

View full posting on CareerOneStop → ID: b94a324c4086

Market Research/Data Analyst

Eliassen Group · Pierre, SD

Mid-level

2026-04-21

SD 2026-04-21

View full posting on CareerOneStop → ID: 12f85c129a25

Market Research/Data Analyst

Eliassen Group · Santa Fe, NM

Mid-level

2026-04-21

NM 2026-04-21

View full posting on CareerOneStop → ID: a0cf0a5ba320

Market Research/Data Analyst

Eliassen Group · Lincoln, NE

Mid-level

2026-04-21

NE 2026-04-21

View full posting on CareerOneStop → ID: 1712bc496fc6

Market Research/Data Analyst

Eliassen Group · Topeka, KS

Mid-level

2026-04-21

KS 2026-04-21

View full posting on CareerOneStop → ID: 5a9bd4fd9cb3

Market Research/Data Analyst

Eliassen Group · Oklahoma City, OK

Mid-level

2026-04-21

OK 2026-04-21

View full posting on CareerOneStop → ID: d54c3983117a

Market Research/Data Analyst

Eliassen Group · Des Moines, IA

Mid-level

2026-04-21

IA 2026-04-21

View full posting on CareerOneStop → ID: c57ec7dd38fd

Market Research/Data Analyst

Eliassen Group · Little Rock, AR

Mid-level

2026-04-21

AR 2026-04-21

View full posting on CareerOneStop → ID: c2bebf58c07e

Market Research/Data Analyst

Eliassen Group · Baton Rouge, LA

Mid-level

2026-04-21

LA 2026-04-21

View full posting on CareerOneStop → ID: 247b096fab59

Market Research/Data Analyst

Eliassen Group · Jackson, MS

Mid-level

2026-04-21

MS 2026-04-21

View full posting on CareerOneStop → ID: b5fa3e92483a

Market Research/Data Analyst

Eliassen Group · Montgomery, AL

Mid-level

2026-04-21

AL 2026-04-21

View full posting on CareerOneStop → ID: accf4449aa0d

Market Research/Data Analyst

Eliassen Group · Frankfort, KY

Mid-level

2026-04-21

KY 2026-04-21

View full posting on CareerOneStop → ID: 96d944818db3

Senior Business Intelligence Engineer

KeyMe LLC · Hebron, KY

Senior

2026-04-21

KY 2026-04-21

View full posting on CareerOneStop → ID: 70b3bc4819c9

Business Intelligence Analyst

University of Utah · Salt Lake City, UT

Mid-level

2026-04-20

UT 2026-04-20

View full posting on CareerOneStop → ID: c4d59339451f

Sr. Data Analyst - (Hybrid In Office / Remote)

UnitedHealth Group · Little Rock, AR

Senior

2026-04-19

AR 2026-04-19

View full posting on CareerOneStop → ID: ed099a61dcc7

Staff Software Engineer, Generative AI, Data Analytics

Google · Kirkland, WA

Senior Bachelor's

2026-04-18

WA 2026-04-18

Requirements

Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience testing, and launching software products.

Preferred

Experience reading code in one or more languages such as Java, Python, NodeJS, Golang and exposure to GenAI / AI Agent-based architectures in solution design.
Experience with AI/ML techniques including Recommender Systems, Generative AI, Large Language Models, Information Retrieval, etc.
Understanding of the modern Data and AI landscape, across Generative AI, Vector Databases, Retrieval-Augmented Generation (RAG), and the practical application of Data Agents to solve enterprise data challenges (e.g., conversational analytics, text-to-SQL, automating data science/AI workflows).

Responsibilities

Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models.
We build the industry's best data agents to help customers make more, better, and faster data-driven decisions-achieved by enriching the customer knowledge layer, automating data preparation, providing tailored agent harnesses, and leveraging the advanced capabilities of BigQuery and its ecosystem.
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Lead the technical strategy and architectural design of the core reasoning engine that translates natural language into reliable SQL insights, ensuring the platform scales to support complex enterprise data exploration.
Drive cross-functional collaboration with AI/ML, UX, and Product teams to define the "agentic" future of BigQuery, bridging the gap between raw data and business-ready answers.
Establish and maintain engineering excellence by setting the bar for performance, reliability, and observability of production-critical agent services across the BigQuery ecosystem.
Mentor and influence a broad group of engineers, identifying and refining ambiguous, high-impact problems into tractable projects that advance our data-centric AI capabilities.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

View full posting on CareerOneStop → ID: 979528eed2c1

Data Analyst

Insight Global · Oklahoma City, OK

Mid-level

2026-04-18

OK 2026-04-18

View full posting on CareerOneStop → ID: 340e8d50ed9c

Senior Manager, Data Analytics

Walmart · Bentonville, AR

Manager

2026-04-18

AR 2026-04-18

View full posting on CareerOneStop → ID: 77ec5833a992

Scientific Software Data Analyst

General Dynamics Information Technology · Stennis Space Center, MS

Mid-level

2026-04-18

MS 2026-04-18

View full posting on CareerOneStop → ID: 1c1d40797973

Business Intelligence Analyst (Salesforce)

Princeton University · Alabama

Mid-level

2026-04-18

AL 2026-04-18

View full posting on CareerOneStop → ID: d9917870b025

Enterprise Business Intelligence Analyst

Aegis Therapies Inc · Fort Smith, AR

Mid-level

2026-04-17

AR 2026-04-17

View full posting on CareerOneStop → ID: 326a4f8c147c

Senior Data Analyst (Agile)

Goldbelt Glacier Health Services · Elizabethtown, KY

Senior

2026-04-17

KY 2026-04-17

View full posting on CareerOneStop → ID: 96e242f2c6bd

Business Intelligence Lead (Remote)

GovCIO · Olympia, WA

Senior Bachelor's

2026-04-16

WA 2026-04-16

Requirements

Bachelor's degree with 15+ years of experience (or commensurate experience)
10+ years of experience designing, implementing, and maintaining SharePoint and Power Platform solutions (Power BI, Power Apps, Power Automate)
Experience delivering solutions in support of federal healthcare or government programs
Proficiency in DAX, Power Query, and SQL
Experience with data engineering and cross-cloud data integration
Demonstrated ability to build scalable, sustainable M365 solutions that meet federal standards
Experience managing SharePoint environments, including governance, permissions, and user administration
*Clearance Required: None (Public Trust may be required)

Preferred

Experience with Azure Databricks or similar cloud data platforms
Background in UI/UX design within SharePoint and Power Platform
Experience supporting VA or other federal health agency programs
Microsoft Power BI certification or equivalent
Familiarity with Palantir Foundry or similar data platforms

Responsibilities

This person in this position leads the design, implementation, and maintenance of Microsoft 365 and Power Platform solutions in support of federal programs. This role oversees integration-focused delivery across the M365 ecosystem while driving data engineering and business intelligence initiatives.
Design, implement, and maintain SharePoint, Power Platform (Power BI, Power Automate, Power Apps), and M365 collaboration tools in support of federal healthcare programs
Ensure SharePoint environments reflect visual professionalism, governance standards, and scalable architecture across multiple divisions and user groups
Develop and maintain Power BI dashboards and reports to support program analytics and clinical decision-making
Lead data engineering efforts including cross-cloud data pipeline design, integration, and management leveraging Azure Databricks and M365 services
Deliver scalable, sustainable solutions that meet federal industry standards and can be maintained long-term with minimal resources
Collaborate with cross-functional stakeholders to gather requirements and translate them into technical Power Platform and SharePoint solutions
Provide technical leadership and guidance to team members on M365, Power Platform, and data visualization best practices

View full posting on CareerOneStop → ID: 281d05c17daf

Business Intelligence Lead (Remote)

GovCIO · Boise, ID

Senior

2026-04-16

ID 2026-04-16

View full posting on CareerOneStop → ID: 99b000539573

Business Intelligence Lead (Remote)

GovCIO · Salem, OR

Senior

2026-04-16

OR 2026-04-16

View full posting on CareerOneStop → ID: 0de35c95d5fe

Business Intelligence Lead (Remote)

GovCIO · Helena, MT

Senior

2026-04-16

MT 2026-04-16

View full posting on CareerOneStop → ID: 0c7c3afbdd77

Business Intelligence Lead (Remote)

GovCIO · Cheyenne, WY

Senior

2026-04-16

WY 2026-04-16

View full posting on CareerOneStop → ID: aebbdd1ed84c

Business Intelligence Lead (Remote)

GovCIO · Carson City, NV

Senior

2026-04-16

NV 2026-04-16

View full posting on CareerOneStop → ID: d90d9cdf1100

Business Intelligence Lead (Remote)

GovCIO · Bismarck, ND

Senior

2026-04-16

ND 2026-04-16

View full posting on CareerOneStop → ID: 8465f412b269

Business Intelligence Lead (Remote)

GovCIO · Pierre, SD

Senior

2026-04-16

SD 2026-04-16

View full posting on CareerOneStop → ID: 730cf807372e

Business Intelligence Lead (Remote)

GovCIO · Santa Fe, NM

Senior

2026-04-16

NM 2026-04-16

View full posting on CareerOneStop → ID: 62cc397d3e26

Business Intelligence Lead (Remote)

GovCIO · Lincoln, NE

Senior

2026-04-16

NE 2026-04-16

View full posting on CareerOneStop → ID: c3da6a0d2370

Data Analyst

Consolidated Electrical Distributors · Omaha, NE

Mid-level

2026-04-16

NE 2026-04-16

View full posting on CareerOneStop → ID: f8cf5ea02d83

Business Intelligence Lead (Remote)

GovCIO · Topeka, KS

Senior

2026-04-16

KS 2026-04-16

View full posting on CareerOneStop → ID: 93dd3161165d

Business Intelligence Lead (Remote)

GovCIO · Oklahoma City, OK

Senior

2026-04-16

OK 2026-04-16

View full posting on CareerOneStop → ID: a01e94b75b80

Business Intelligence Lead (Remote)

GovCIO · Des Moines, IA

Senior

2026-04-16

IA 2026-04-16

View full posting on CareerOneStop → ID: b6af5f9416a4

Business Intelligence Lead (Remote)

GovCIO · Little Rock, AR

Senior

2026-04-16

AR 2026-04-16

View full posting on CareerOneStop → ID: dadf29f90b54

Business Intelligence Lead (Remote)

GovCIO · Baton Rouge, LA

Senior

2026-04-16

LA 2026-04-16

View full posting on CareerOneStop → ID: 09aa5cd02042

Business Intelligence Lead (Remote)

GovCIO · Jackson, MS

Senior

2026-04-16

MS 2026-04-16

View full posting on CareerOneStop → ID: 1e40c5a92178

Business Intelligence Lead (Remote)

GovCIO · Montgomery, AL

Senior

2026-04-16

AL 2026-04-16

View full posting on CareerOneStop → ID: 18e3751f4bf3

Business Intelligence Lead (Remote)

GovCIO · Frankfort, KY

Senior

2026-04-16

KY 2026-04-16

View full posting on CareerOneStop → ID: 07715185bc11

Senior Business Intelligence Engineer, ProdOps OAT, Amazon Leo

Amazon · Bellevue, WA

Senior

2026-04-15

WA 2026-04-15

View full posting on CareerOneStop → ID: b5eeceec3d9d

Data Analytics Engineer - Power BI

Robert Half · Ankeny, IA

Mid-level

2026-04-15

IA 2026-04-15

View full posting on CareerOneStop → ID: bddb840d4eab

Manufacturing Data Analytics Engineer

RTX Corporation · Cedar Rapids, IA

Mid-level

2026-04-15

IA 2026-04-15

View full posting on CareerOneStop → ID: 7c99a58d4d9b

Business Intelligence Engineer II, Amazon Key

Amazon · Bellevue, WA

Mid-level

2026-04-14

WA 2026-04-14

View full posting on CareerOneStop → ID: f1c227e63232

Distribution Data Analyst - Onsite - Winfield, KS

Newell Brands · Winfield, KS

Mid-level

2026-04-14

KS 2026-04-14

View full posting on CareerOneStop → ID: 071e54f04180

Principal Data Analyst

Mom's Meals · Ankeny, IA

Senior

2026-04-14

IA 2026-04-14

View full posting on CareerOneStop → ID: aee13f97b819

Senior Manager, Data Analytics - Driver Acquisition Marketing

Walmart · Bentonville, AR

Manager

2026-04-14

AR 2026-04-14

View full posting on CareerOneStop → ID: 0fb313a003a9

Business Intelligence Engineer

CenterWell · Boise, ID

Mid-level

2026-04-14

ID 2026-04-14

View full posting on CareerOneStop → ID: e205ce6c5191

Business Intelligence Engineer

CenterWell · Salem, OR

Mid-level

2026-04-14

OR 2026-04-14

View full posting on CareerOneStop → ID: e6e7be046378

Business Intelligence Engineer

CenterWell · Helena, MT

Mid-level

2026-04-14

MT 2026-04-14

View full posting on CareerOneStop → ID: 37d09d1a041e

Data Analyst 2

Bucher & Christian Consulting, Inc. dba BCforward (BCF) · Redmond, WA

Mid-level

2026-04-12

WA 2026-04-12

View full posting on CareerOneStop → ID: a478abd69544

Forecasting Data Analyst

ProAmpac Holdings, Inc. · Redmond, WA

Mid-level

2026-04-11

WA 2026-04-11

View full posting on CareerOneStop → ID: fc26600c7510

Senior Associate, Business Intel Analyst

L3Harris · Camden, AR

Senior

2026-04-11

AR 2026-04-11

View full posting on CareerOneStop → ID: b4678be9469d

Sr. Business Intelligence Engineer, Leo Global Customer Operations

Amazon · Bellevue, WA

Senior

2026-04-10

WA 2026-04-10

View full posting on CareerOneStop → ID: 54910f030e59

Business Intelligence Engineer, Leo Global Customer Operations

Amazon · Bellevue, WA

Mid-level

2026-04-10

WA 2026-04-10

View full posting on CareerOneStop → ID: 9bdba4919c21

Business Intelligence Engineer, R2L Analytics

Amazon · Bellevue, WA

Mid-level

2026-04-09

WA 2026-04-09

View full posting on CareerOneStop → ID: 4b9825c9ecdc

Business Intelligence Analyst 1

Chegg Inc. · Olympia, WA

Mid-level

2026-04-09

WA 2026-04-09

View full posting on CareerOneStop → ID: f848b0de73f1

Risk Adjustment Data Analyst

Datavant · Olympia, WA

Mid-level

2026-04-09

WA 2026-04-09

View full posting on CareerOneStop → ID: c4d351dd8437

Business Intelligence Solutions Developer - Health Plan

St. Luke's Health System · Boise, ID

Mid-level

2026-04-09

ID 2026-04-09

View full posting on CareerOneStop → ID: a544161251f8

Risk Adjustment Data Analyst

Datavant · Boise, ID

Mid-level

2026-04-09

ID 2026-04-09

View full posting on CareerOneStop → ID: 0824c59f39f8

Risk Adjustment Data Analyst

Datavant · Salem, OR

Mid-level

2026-04-09

OR 2026-04-09

View full posting on CareerOneStop → ID: e8ecb0ee2a33

Risk Adjustment Data Analyst

Datavant · Helena, MT

Mid-level

2026-04-09

MT 2026-04-09

View full posting on CareerOneStop → ID: f1e45225c512

Risk Adjustment Data Analyst

Datavant · Cheyenne, WY

Mid-level

2026-04-09

WY 2026-04-09

View full posting on CareerOneStop → ID: d81717b1e7c3

Risk Adjustment Data Analyst

Datavant · Carson City, NV

Mid-level

2026-04-09

NV 2026-04-09

View full posting on CareerOneStop → ID: 01c2a06c95ea

Risk Adjustment Data Analyst

Datavant · Bismarck, ND

Mid-level

2026-04-09

ND 2026-04-09

View full posting on CareerOneStop → ID: e52d2e6e126f

Risk Adjustment Data Analyst

Datavant · Pierre, SD

Mid-level

2026-04-09

SD 2026-04-09

View full posting on CareerOneStop → ID: a2a09522c0f6

Risk Adjustment Data Analyst

Datavant · Santa Fe, NM

Mid-level

2026-04-09

NM 2026-04-09

View full posting on CareerOneStop → ID: e21bec5f4124

Risk Adjustment Data Analyst

Datavant · Lincoln, NE

Mid-level

2026-04-09

NE 2026-04-09

View full posting on CareerOneStop → ID: ef03fc22b495

Risk Adjustment Data Analyst

Datavant · Topeka, KS

Mid-level

2026-04-09

KS 2026-04-09

View full posting on CareerOneStop → ID: 97c7e979e053

Risk Adjustment Data Analyst

Datavant · Oklahoma City, OK

Mid-level

2026-04-09

OK 2026-04-09

View full posting on CareerOneStop → ID: 1809cf60550d

Risk Adjustment Data Analyst

Datavant · Little Rock, AR

Mid-level

2026-04-09

AR 2026-04-09

View full posting on CareerOneStop → ID: 9b8dc1e1d1b4

Senior Manager, Supply Chain Management- Fulfillment + Reverse, Data Analytics

Walmart · Bentonville, AR

Manager

2026-04-09

AR 2026-04-09

View full posting on CareerOneStop → ID: 0beb2e6ede56

Risk Adjustment Data Analyst

Datavant · Baton Rouge, LA

Mid-level

2026-04-09

LA 2026-04-09

View full posting on CareerOneStop → ID: 64d9826bdb8b

Risk Adjustment Data Analyst

Datavant · Jackson, MS

Mid-level

2026-04-09

MS 2026-04-09

View full posting on CareerOneStop → ID: 13f17302688d

Cisco Data Analyst Level 1

Cayuse Holdings · Olympia, WA

Entry-level

2026-04-08

WA 2026-04-08

View full posting on CareerOneStop → ID: 28f56a64d8f5

Cisco Data Analyst Level 1

Cayuse Holdings · Boise, ID

Entry-level

2026-04-08

ID 2026-04-08

View full posting on CareerOneStop → ID: 2b6e036e73c3

Cisco Data Analyst Level 1

Cayuse Holdings · Salem, OR

Entry-level

2026-04-08

OR 2026-04-08

View full posting on CareerOneStop → ID: 6ab1c5cfad7e

Cisco Data Analyst Level 1

Cayuse Holdings · Helena, MT

Entry-level

2026-04-08

MT 2026-04-08

View full posting on CareerOneStop → ID: fe731e53a125

Cisco Data Analyst Level 1

Cayuse Holdings · Cheyenne, WY

Entry-level

2026-04-08

WY 2026-04-08

View full posting on CareerOneStop → ID: 7fcd9b0aa876

Cisco Data Analyst Level 1

Cayuse Holdings · Carson City, NV

Entry-level

2026-04-08

NV 2026-04-08

View full posting on CareerOneStop → ID: 5bc8e27e45fd

Cisco Data Analyst Level 1

Cayuse Holdings · Bismarck, ND

Entry-level

2026-04-08

ND 2026-04-08

View full posting on CareerOneStop → ID: 7c68cf9b567b

Cisco Data Analyst Level 1

Cayuse Holdings · Pierre, SD

Entry-level

2026-04-08

SD 2026-04-08

View full posting on CareerOneStop → ID: faa260cde315

Cisco Data Analyst Level 1

Cayuse Holdings · Santa Fe, NM

Entry-level

2026-04-08

NM 2026-04-08

View full posting on CareerOneStop → ID: 18e16c39ba5d

Cisco Data Analyst Level 1

Cayuse Holdings · Lincoln, NE

Entry-level

2026-04-08

NE 2026-04-08

View full posting on CareerOneStop → ID: 04ae7695a2d8

Cisco Data Analyst Level 1

Cayuse Holdings · Topeka, KS

Entry-level

2026-04-08

KS 2026-04-08

View full posting on CareerOneStop → ID: 201a3cf2db35

Cisco Data Analyst Level 1

Cayuse Holdings · Oklahoma City, OK

Entry-level

2026-04-08

OK 2026-04-08

View full posting on CareerOneStop → ID: b4b3312370f5

Cisco Data Analyst Level 1

Cayuse Holdings · Little Rock, AR

Entry-level

2026-04-08

AR 2026-04-08

View full posting on CareerOneStop → ID: fd73ad8e2e2c

Cisco Data Analyst Level 1

Cayuse Holdings · Baton Rouge, LA

Entry-level

2026-04-08

LA 2026-04-08

View full posting on CareerOneStop → ID: c2327f16223d

Cisco Data Analyst Level 1

Cayuse Holdings · Jackson, MS

Entry-level

2026-04-08

MS 2026-04-08

View full posting on CareerOneStop → ID: 6d3ff4471496

Manager Customer Insights & Data Analytics

Ryder System · Olympia, WA

Manager

2026-04-07

WA 2026-04-07

View full posting on CareerOneStop → ID: e3da213f1363

Manager Customer Insights & Data Analytics

Ryder System · Boise, ID

Manager

2026-04-07

ID 2026-04-07

View full posting on CareerOneStop → ID: 14e80e2fade9

Manager Customer Insights & Data Analytics

Ryder System · Salem, OR

Manager

2026-04-07

OR 2026-04-07

View full posting on CareerOneStop → ID: 4b2484f6ef48

Manager Customer Insights & Data Analytics

Ryder System · Helena, MT

Manager

2026-04-07

MT 2026-04-07

View full posting on CareerOneStop → ID: 27bbcd189b5e

Manager Customer Insights & Data Analytics

Ryder System · Cheyenne, WY

Manager

2026-04-07

WY 2026-04-07

View full posting on CareerOneStop → ID: 04cf4ada7a13

Manager Customer Insights & Data Analytics

Ryder System · Carson City, NV

Manager

2026-04-07

NV 2026-04-07

View full posting on CareerOneStop → ID: 8354461d339b

Manager Customer Insights & Data Analytics

Ryder System · Bismarck, ND

Manager

2026-04-07

ND 2026-04-07

View full posting on CareerOneStop → ID: eb8326a7d863

Manager Customer Insights & Data Analytics

Ryder System · Pierre, SD

Manager

2026-04-07

SD 2026-04-07

View full posting on CareerOneStop → ID: d15a6588fccc

Manager Customer Insights & Data Analytics

Ryder System · Santa Fe, NM

Manager

2026-04-07

NM 2026-04-07

View full posting on CareerOneStop → ID: ace48de69a18

Manager Customer Insights & Data Analytics

Ryder System · Lincoln, NE

Manager

2026-04-07

NE 2026-04-07

View full posting on CareerOneStop → ID: acae30ac1115

Manager Customer Insights & Data Analytics

Ryder System · Topeka, KS

Manager

2026-04-07

KS 2026-04-07

View full posting on CareerOneStop → ID: b52e5d23a789

Manager Customer Insights & Data Analytics

Ryder System · Oklahoma City, OK

Manager

2026-04-07

OK 2026-04-07

View full posting on CareerOneStop → ID: aa51c0276124

Manager Customer Insights & Data Analytics

Ryder System · Little Rock, AR

Manager

2026-04-07

AR 2026-04-07

View full posting on CareerOneStop → ID: 016a549e06fd

Manager Customer Insights & Data Analytics

Ryder System · Baton Rouge, LA

Manager

2026-04-07

LA 2026-04-07

View full posting on CareerOneStop → ID: e443a36d3a5d

Manager Customer Insights & Data Analytics

Ryder System · Jackson, MS

Manager

2026-04-07

MS 2026-04-07

View full posting on CareerOneStop → ID: 3f26a7612d17

Director Business Intelligence

Highmark Health · Olympia, WA

Director Master's

2026-04-03

WA 2026-04-03

Requirements

High School Diploma / GED
Minimum of ten years progressively responsible IT experience in developing and implementing complex enterprise systems.
Minimum six years of managerial responsibilities for direct reports- interviewing, hiring, corrective actions, terminations, evaluating staff performances, motivating, training, and delegating.
Proficiency in business intelligence tools, developing and delivering scorecards, dashboards, and trend data in partnership with the Business Intelligence and Enterprise Architects.
Strong analytical and problem solving skills.
Knowledge in building data warehouses, database design, metadata strategy, ETL, and data integration.
Demonstrated competency in strategic thinking and leadership with strong ability in relationship management.
Ability to manage financial resources to meet goals and multiple projects.
Demonstrated competency in project management and the execution of multiple large projects, including managing resources across multiple projects to meet goals.
*_Disclaimer:_ _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
*_Compliance Requirement_ _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._

Preferred

Bachelor's Degree or Master's Degree in Information Technology, Computer Science, Engineering, or related discipline

Responsibilities

*GENERAL OVERVIEW:
This job provides strategic leadership and tactical direction working collaboratively with stakeholders from the organization's clinical, financial, and information technology functions. This role is responsible for the development, implementation, and optimization of a business intelligence strategy and plan focused on Business Intelligence, Data Warehouse, and Reporting technologies. Additionally, this role works closely with stakeholders at all levels to identify and prioritize ongoing technology and process improvements. These initiatives will be delivered on current and emerging business intelligence platforms.
Lead and Develop a High-Performing BI Team: Recruit, mentor, and lead a high-performing team of BI professionals, fostering deep expertise in healthcare data analytics, reporting, and data warehousing concepts, and promoting continuous learning and professional growth within AHN. (20%)
Define and Lead AHN's BI Strategy: Strategically define, champion, and execute a comprehensive Business Intelligence (BI) roadmap tailored to meet Allegheny Health Network's (AHN) strategic goals for patient care, operational efficiency, quality outcomes, and financial performance. (15%)
Ensure Data Governance, Quality, and Compliance: Establish and enforce enterprise-wide data governance policies, quality standards, and privacy frameworks across all clinical and operational data sources, ensuring accuracy, consistency, and strict adherence to HIPAA and other healthcare regulations for Protected Health Information (PHI). (15%)
Optimize Data Infrastructure & Integration: Oversee the design, development, maintenance, and performance optimization of AHN's data warehouses, data lakes, and other data infrastructure, ensuring robust integration, normalization, scalability, and security of data from various clinical and administrative systems. (15%)
Drive Data Literacy and Utilization Across AHN: Champion and promote data literacy and the effective utilization of BI tools and insights across AHN's clinical, operational, and administrative departments, demonstrating the value derived from comprehensive data analysis. (15%)
Provide Technical and Analytical Leadership: Offer expert technical leadership in BI development, advanced data querying, and integration patterns, guiding the team in leveraging complex healthcare data models for actionable insights and reporting. (10%)
Manage BI Project Portfolio and Resources: Effectively manage the BI project portfolio, resource allocation, and project lifecycle, ensuring initiatives are aligned with AHN's strategic priorities, delivered efficiently, and provide measurable value. (10%)

View full posting on CareerOneStop → ID: 6aa16f3cb029

Director Business Intelligence - Remote

Highmark Health · Boise, ID

Director

2026-04-03

ID 2026-04-03

View full posting on CareerOneStop → ID: 7220c48a7c61

Director Business Intelligence - Remote

Highmark Health · Salem, OR

Director

2026-04-03

OR 2026-04-03

View full posting on CareerOneStop → ID: 3343ad9b1757

Director Business Intelligence - Remote

Highmark Health · Helena, MT

Director

2026-04-03

MT 2026-04-03

View full posting on CareerOneStop → ID: 2a3892fd047e

Director Business Intelligence - Remote

Highmark Health · Cheyenne, WY

Director

2026-04-03

WY 2026-04-03

View full posting on CareerOneStop → ID: 96f16a1ae0bd

Director Business Intelligence - Remote

Highmark Health · Carson City, NV

Director

2026-04-03

NV 2026-04-03

View full posting on CareerOneStop → ID: 0ed6e30e14a2

Director Business Intelligence - Remote

Highmark Health · Bismarck, ND

Director

2026-04-03

ND 2026-04-03

View full posting on CareerOneStop → ID: 1105649a168f

Director Business Intelligence - Remote

Highmark Health · Pierre, SD

Director

2026-04-03

SD 2026-04-03

View full posting on CareerOneStop → ID: d0b659bd6308

Director Business Intelligence - Remote

Highmark Health · Santa Fe, NM

Director

2026-04-03

NM 2026-04-03

View full posting on CareerOneStop → ID: 25396a19d89e

Director Business Intelligence - Remote

Highmark Health · Lincoln, NE

Director

2026-04-03

NE 2026-04-03

View full posting on CareerOneStop → ID: 864574859371

Director Business Intelligence - Remote

Highmark Health · Topeka, KS

Director

2026-04-03

KS 2026-04-03

View full posting on CareerOneStop → ID: ae86dc4cf089

Director Business Intelligence - Remote

Highmark Health · Oklahoma City, OK

Director

2026-04-03

OK 2026-04-03

View full posting on CareerOneStop → ID: 7a1297c52846

Director Business Intelligence - Remote

Highmark Health · Little Rock, AR

Director

2026-04-03

AR 2026-04-03

View full posting on CareerOneStop → ID: d24c1f72dc0c

Director Business Intelligence - Remote

Highmark Health · Baton Rouge, LA

Director

2026-04-03

LA 2026-04-03

View full posting on CareerOneStop → ID: 598105b43e3d

Director Business Intelligence - Remote

Highmark Health · Jackson, MS

Director

2026-04-03

MS 2026-04-03

View full posting on CareerOneStop → ID: d744480fec98

Business Intelligence Engineer, WW Returns and ReCommerce

Amazon · Bellevue, WA

Mid-level

2026-04-01

WA 2026-04-01

View full posting on CareerOneStop → ID: a74c865da866

Business Intelligence Developer

ArcBest · Fort Smith, AR

Mid-level

2026-04-01

AR 2026-04-01

View full posting on CareerOneStop → ID: 0c6d5bc86138

Data Analyst - IT

Procter & Gamble · Pineville, LA

Mid-level

2026-04-01

LA 2026-04-01

View full posting on CareerOneStop → ID: 308787eae5ee

Senior Business Intelligence Engineer - Conversational Channels

Humana · Olympia, WA

Senior

2026-03-31

WA 2026-03-31

View full posting on CareerOneStop → ID: fc87025ee4e4

Senior Business Intelligence Engineer - Conversational Channels

Humana · Boise, ID

Senior

2026-03-31

ID 2026-03-31

View full posting on CareerOneStop → ID: 754105180478

Senior Business Intelligence Engineer - Conversational Channels

Humana · Salem, OR

Senior

2026-03-31

OR 2026-03-31

View full posting on CareerOneStop → ID: 217a5010c540

Senior Business Intelligence Engineer - Conversational Channels

Humana · Helena, MT

Senior

2026-03-31

MT 2026-03-31

View full posting on CareerOneStop → ID: eaab39f67df1

Senior Business Intelligence Engineer - Conversational Channels

Humana · Cheyenne, WY

Senior

2026-03-31

WY 2026-03-31

View full posting on CareerOneStop → ID: 9ca9f168e132

Senior Business Intelligence Engineer - Conversational Channels

Humana · Carson City, NV

Senior

2026-03-31

NV 2026-03-31

View full posting on CareerOneStop → ID: 193f5024cd0f

Senior Business Intelligence Engineer - Conversational Channels

Humana · Bismarck, ND

Senior

2026-03-31

ND 2026-03-31

View full posting on CareerOneStop → ID: fe26bdb83857

Senior Business Intelligence Engineer - Conversational Channels

Humana · Pierre, SD

Senior

2026-03-31

SD 2026-03-31

View full posting on CareerOneStop → ID: 985b7a880010

Senior Business Intelligence Engineer - Conversational Channels

Humana · Santa Fe, NM

Senior

2026-03-31

NM 2026-03-31

View full posting on CareerOneStop → ID: d3d8ff48b5a4

Senior Business Intelligence Engineer - Conversational Channels

Humana · Lincoln, NE

Senior

2026-03-31

NE 2026-03-31

View full posting on CareerOneStop → ID: 29c250b41c3a

Senior Business Intelligence Engineer - Conversational Channels

Humana · Oklahoma City, OK

Senior

2026-03-31

OK 2026-03-31

View full posting on CareerOneStop → ID: 6657b25a6b1b

Senior Business Intelligence Engineer - Conversational Channels

Humana · Little Rock, AR

Senior

2026-03-31

AR 2026-03-31

View full posting on CareerOneStop → ID: 6b2dfd11400a

Senior Business Intelligence Engineer - Conversational Channels

Humana · Baton Rouge, LA

Senior

2026-03-31

LA 2026-03-31

View full posting on CareerOneStop → ID: 67d4995bb6c2

Senior Business Intelligence Engineer - Conversational Channels

Humana · Jackson, MS

Senior

2026-03-31

MS 2026-03-31

View full posting on CareerOneStop → ID: 5a1c289a5b3d

Sr. Data Analyst- Remote

Sharecare · Olympia, WA

Senior

2026-03-28

WA 2026-03-28

View full posting on CareerOneStop → ID: a49f7c6aaaec

Sr. Data Analyst- Remote

Sharecare · Boise, ID

Senior

2026-03-28

ID 2026-03-28

View full posting on CareerOneStop → ID: e34721757040

Sr. Data Analyst- Remote

Sharecare · Salem, OR

Senior

2026-03-28

OR 2026-03-28

View full posting on CareerOneStop → ID: d7dd5b891c31

Sr. Data Analyst- Remote

Sharecare · Helena, MT

Senior

2026-03-28

MT 2026-03-28

View full posting on CareerOneStop → ID: 57c6c7571973

Sr. Data Analyst- Remote

Sharecare · Cheyenne, WY

Senior

2026-03-28

WY 2026-03-28

View full posting on CareerOneStop → ID: d4dfca313272

Sr. Data Analyst- Remote

Sharecare · Carson City, NV

Senior

2026-03-28

NV 2026-03-28

View full posting on CareerOneStop → ID: 3cb42653b825

Sr. Data Analyst- Remote

Sharecare · Bismarck, ND

Senior

2026-03-28

ND 2026-03-28

View full posting on CareerOneStop → ID: 2e81e9b9bdf2

Sr. Data Analyst- Remote

Sharecare · Pierre, SD

Senior

2026-03-28

SD 2026-03-28

View full posting on CareerOneStop → ID: 85df28b7f759

Sr. Data Analyst- Remote

Sharecare · Santa Fe, NM

Senior

2026-03-28

NM 2026-03-28

View full posting on CareerOneStop → ID: 0864ca6aa991

Sr. Data Analyst- Remote

Sharecare · Lincoln, NE

Senior

2026-03-28

NE 2026-03-28

View full posting on CareerOneStop → ID: 655988c37ba3

Sr. Data Analyst- Remote

Sharecare · Oklahoma City, OK

Senior

2026-03-28

OK 2026-03-28

View full posting on CareerOneStop → ID: bf27d687abb6

Sr. Data Analyst- Remote

Sharecare · Little Rock, AR

Senior

2026-03-28

AR 2026-03-28

View full posting on CareerOneStop → ID: 6204f3c0fb2f

Sr. Data Analyst- Remote

Sharecare · Baton Rouge, LA

Senior

2026-03-28

LA 2026-03-28

View full posting on CareerOneStop → ID: 2541b06b462e

Sr. Data Analyst- Remote

Sharecare · Jackson, MS

Senior

2026-03-28

MS 2026-03-28

View full posting on CareerOneStop → ID: 1e91de36bd40

Games Data Analyst

Insight Global · Redmond, WA

Mid-level

2026-03-27

WA 2026-03-27

View full posting on CareerOneStop → ID: 9c75f28c5384

Software Development Engineer, Open Data Analytics - Engines

Amazon · Redmond, WA

Mid-level

2026-03-27

WA 2026-03-27

View full posting on CareerOneStop → ID: 2e2e35d381d2

Senior Manager, Data Analytics

Walmart · Bentonville, AR

Manager

2026-03-26

AR 2026-03-26

View full posting on CareerOneStop → ID: b96b0b760a27

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Olympia, WA

Senior

2026-03-25

WA 2026-03-25

View full posting on CareerOneStop → ID: c9a476e004e8

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Boise, ID

Senior

2026-03-25

ID 2026-03-25

View full posting on CareerOneStop → ID: edad712bdfdd

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Salem, OR

Senior

2026-03-25

OR 2026-03-25

View full posting on CareerOneStop → ID: ee1201ef3e32

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Helena, MT

Senior

2026-03-25

MT 2026-03-25

View full posting on CareerOneStop → ID: 8899af8fa707

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Cheyenne, WY

Senior

2026-03-25

WY 2026-03-25

View full posting on CareerOneStop → ID: 1733bbc7d8e0

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Carson City, NV

Senior

2026-03-25

NV 2026-03-25

View full posting on CareerOneStop → ID: b295771a3529

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Bismarck, ND

Senior

2026-03-25

ND 2026-03-25

View full posting on CareerOneStop → ID: f0419bef92b0

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Pierre, SD

Senior

2026-03-25

SD 2026-03-25

View full posting on CareerOneStop → ID: c7cdfea27452

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Santa Fe, NM

Senior

2026-03-25

NM 2026-03-25

View full posting on CareerOneStop → ID: 6fe1a73538ba

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Lincoln, NE

Senior

2026-03-25

NE 2026-03-25

View full posting on CareerOneStop → ID: 21a3d548b76b

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Oklahoma City, OK

Senior

2026-03-25

OK 2026-03-25

View full posting on CareerOneStop → ID: 5b144451a798

Principal Software Developer - Data Analytics - US Citizenship Required

Oracle · Little Rock, AR

Senior

2026-03-25

AR 2026-03-25

View full posting on CareerOneStop → ID: 42946a187230

Senior Manager, Technical Program Management, Data Analytics & Insights

Walmart · Bellevue, WA

Manager

2026-03-24

WA 2026-03-24

View full posting on CareerOneStop → ID: 266f592a2334

Principal Data Analyst-GTM

Cornerstone onDemand · Portland, OR

Senior

2026-03-21

WA 2026-03-21

View full posting on CareerOneStop → ID: 52361f2a3ce6

Principal Data Analyst-GTM

Cornerstone onDemand · Boise, ID

Senior

2026-03-21

ID 2026-03-21

View full posting on CareerOneStop → ID: c0c0a94e907b

Manager, Business Intelligence & Project Management (Twin Falls, ID, US)

Chobani · Twin Falls, ID

Manager

2026-03-21

ID 2026-03-21

View full posting on CareerOneStop → ID: 24f0a2d79f6e

Principal Data Analyst-GTM

Cornerstone onDemand · Billings, MT

Senior

2026-03-21

MT 2026-03-21

View full posting on CareerOneStop → ID: 84eab400745b

Principal Data Analyst-GTM

Cornerstone onDemand · Cheyenne, WY

Senior

2026-03-21

WY 2026-03-21

View full posting on CareerOneStop → ID: dc598239d5be

Principal Data Analyst-GTM

Cornerstone onDemand · Las Vegas, NV

Senior

2026-03-21

NV 2026-03-21

View full posting on CareerOneStop → ID: 4e8993c83e89

Principal Data Analyst-GTM

Cornerstone onDemand · Fargo, ND

Senior

2026-03-21

ND 2026-03-21

View full posting on CareerOneStop → ID: 07c153c0d43b

Principal Data Analyst-GTM

Cornerstone onDemand · Sioux Falls, SD

Senior

2026-03-21

SD 2026-03-21

View full posting on CareerOneStop → ID: beaf117bcfc3

Principal Data Analyst-GTM

Cornerstone onDemand · Albuquerque, NM

Senior

2026-03-21

NM 2026-03-21

View full posting on CareerOneStop → ID: e55bd5c14206

Principal Data Analyst-GTM

Cornerstone onDemand · Omaha, NE

Senior

2026-03-21

NE 2026-03-21

View full posting on CareerOneStop → ID: bd10295ccfb7

Principal Data Analyst-GTM

Cornerstone onDemand · Oklahoma City, OK

Senior

2026-03-21

OK 2026-03-21

View full posting on CareerOneStop → ID: 8a1934120177

Principal Data Analyst-GTM

Cornerstone onDemand · Little Rock, AR

Senior

2026-03-21

AR 2026-03-21

View full posting on CareerOneStop → ID: 148a3c76ae22

Games Data Analyst

Insight Global · Redmond, WA

Mid-level

2026-03-20

WA 2026-03-20

View full posting on CareerOneStop → ID: cec850feb41f

Principal Healthcare Data Analyst - Remote

Providence St. Joseph Health · Renton, WA

Senior

2026-03-20

WA 2026-03-20

View full posting on CareerOneStop → ID: 82f63743c14c

Summer 2026 Data Analyst Internship

T-Mobile USA, Inc · Bellevue, WA

Intern

2026-03-20

WA 2026-03-20

View full posting on CareerOneStop → ID: d0fe97699902

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Olympia, WA

Manager

2026-03-19

WA 2026-03-19

View full posting on CareerOneStop → ID: 22de3f001d99

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Boise, ID

Manager

2026-03-19

ID 2026-03-19

View full posting on CareerOneStop → ID: b2d83201dd2f

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Salem, OR

Manager

2026-03-19

OR 2026-03-19

View full posting on CareerOneStop → ID: 52a28639cb83

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Helena, MT

Manager

2026-03-19

MT 2026-03-19

View full posting on CareerOneStop → ID: 9cfd28b76cc7

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Cheyenne, WY

Manager

2026-03-19

WY 2026-03-19

View full posting on CareerOneStop → ID: 9eca887b1dd7

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Carson City, NV

Manager

2026-03-19

NV 2026-03-19

View full posting on CareerOneStop → ID: 414e5afee6bc

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Bismarck, ND

Manager

2026-03-19

ND 2026-03-19

View full posting on CareerOneStop → ID: a090d6ed8dc4

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Pierre, SD

Manager

2026-03-19

SD 2026-03-19

View full posting on CareerOneStop → ID: fe0a0b84a5ca

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Santa Fe, NM

Manager

2026-03-19

NM 2026-03-19

View full posting on CareerOneStop → ID: 02b9979188e4

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Lincoln, NE

Manager

2026-03-19

NE 2026-03-19

View full posting on CareerOneStop → ID: 755f304f6700

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Oklahoma City, OK

Manager

2026-03-19

OK 2026-03-19

View full posting on CareerOneStop → ID: a4e8a02d97cc

Senior, Data Analyst - Transportation Modeling

Walmart · Bentonville, AR

Senior

2026-03-19

AR 2026-03-19

View full posting on CareerOneStop → ID: 7dc06f932fa7

Sr. Manager of Data Analytics & Reporting

Public Consulting Group · Little Rock, AR

Manager

2026-03-19

AR 2026-03-19

View full posting on CareerOneStop → ID: f1e2a6fa0f09

Senior Business Intel Engineer

Amazon · Bellevue, WA

Senior

2026-03-18

WA 2026-03-18

View full posting on CareerOneStop → ID: 965e096a240b

Data Analytics Intern

MultiCare Health System · Tacoma, WA

Intern

2026-03-14

WA 2026-03-14

View full posting on CareerOneStop → ID: c3eff3a8c857

Senior People Team Manager (Engineering/Business Intelligence/Transformation) (Twin Falls, ID, US)

Chobani · Twin Falls, ID

Manager

2026-03-13

ID 2026-03-13

View full posting on CareerOneStop → ID: deb24761ab90

Business Intelligence Engineer (II), Fulfillment Optimization

Amazon · Bellevue, WA

Mid-level

2026-03-12

WA 2026-03-12

View full posting on CareerOneStop → ID: 327ab45b7e7f

Principal Software Engineer, Data Analytics

Infoblox · Tacoma, WA

Senior

2026-03-08

WA 2026-03-08

View full posting on CareerOneStop → ID: 1e4e1fcd26b9

Data Analyst, Sales Operations

SanMar · Issaquah, WA

Mid-level

2026-03-08

WA 2026-03-08

View full posting on CareerOneStop → ID: fd1533240c63

Senior Business Intelligence Engineer, Under-the-Roof Business Intelligence

Amazon · Bellevue, WA

Senior

2026-03-07

WA 2026-03-07

View full posting on CareerOneStop → ID: 1b9f3e42c105

Assistant Professor, Data Analytics and Mathematics Career Track Teaching

Washington State University · Pullman, WA

Mid-level

2026-03-07

WA 2026-03-07

View full posting on CareerOneStop → ID: 43ba3abfb78c

Data Analyst

Cribl, Inc · Olympia, WA

Mid-level

2026-03-04

WA 2026-03-04

View full posting on CareerOneStop → ID: ddbf9ff0d8ab

Senior, Data Analyst - Fashion Network

Walmart · Bentonville, AR

Senior

2026-03-04

AR 2026-03-04

View full posting on CareerOneStop → ID: 16430140da6e

Agriculture Intern, Data Analytics

Lamb Weston · Kennewick, WA

Intern

2026-03-03

WA 2026-03-03

View full posting on CareerOneStop → ID: 90a276d95eab

Senior Data Analyst

Cribl, Inc · Olympia, WA

Senior

2026-02-26

WA 2026-02-26

View full posting on CareerOneStop → ID: c5b4ca68d677

Data Analyst -III

Spectraforce Technologies Inc. · Bellevue, WA

Mid-level

2026-02-26

WA 2026-02-26

View full posting on CareerOneStop → ID: e12258fc7a30

Sr Data Analyst

Univar Solutions USA Inc. · Clyde Hill, WA

Senior

2026-02-26

WA 2026-02-26

View full posting on CareerOneStop → ID: ad387a51bf84

Business Intelligence Analyst 3

St. Luke's Health System · Boise, ID

Mid-level

2026-02-24

ID 2026-02-24

View full posting on CareerOneStop → ID: 70aa2c595ee1

Registered Nurse- Clinical Data Analyst Trauma Services/Spine and Joint (FT- 1.0 FTE, Day Shift)

Bozeman Health · Bozeman, MT

Mid-level

2026-02-24

MT 2026-02-24

View full posting on CareerOneStop → ID: 4c4811ab6160

Software Development Manager, Open Data Analytics Engines

Amazon · Redmond, WA

Manager

2026-02-21

WA 2026-02-21

View full posting on CareerOneStop → ID: 5c3a2c6f1f03

Data Analyst - Nuclear Fuel Manufacturing

Framatome · Richland, WA

Mid-level

2026-02-20

WA 2026-02-20

View full posting on CareerOneStop → ID: de1fa7e65375

Business Intelligence Intern

Sound Credit Union · Tacoma, WA

Intern

2026-02-18

WA 2026-02-18

View full posting on CareerOneStop → ID: 43cd7c9b20e9

Space Physics Instrumentation and Data Analysis Postdoctoral Researcher

Los Alamos National Laboratory · Los Alamos, NM

Mid-level

2026-02-14

NM 2026-02-14

View full posting on CareerOneStop → ID: a537c560e3c9

Branch Operations Data Analytics Developer

U.S. Bank · Gresham, OR

Mid-level

2026-02-06

WA 2026-02-06

View full posting on CareerOneStop → ID: bc42a1b73eaf

Branch Operations Data Analytics Developer

U.S. Bank · Fargo, ND

Mid-level

2026-02-06

ND 2026-02-06

View full posting on CareerOneStop → ID: 5e65e02bd6c7

Business Intelligence Solutions Developer 3

St. Luke's Health System · Boise, ID

Mid-level

2026-02-03

ID 2026-02-03

View full posting on CareerOneStop → ID: 4ada8f4e5d14

Business Intelligence Data Analyst

Insight Global · Beaverton, OR

Mid-level

2026-01-31

WA 2026-01-31

View full posting on CareerOneStop → ID: 7dca6c128ea0

Payor Data Analyst- Remote

Sharecare · Olympia, WA

Mid-level

2026-01-24

WA 2026-01-24

View full posting on CareerOneStop → ID: 362b7b0e530c

Payor Data Analyst- Remote

Sharecare · Boise, ID

Mid-level

2026-01-24

ID 2026-01-24

View full posting on CareerOneStop → ID: 1080509ac5fd

Payor Data Analyst- Remote

Sharecare · Salem, OR

Mid-level

2026-01-24

OR 2026-01-24

View full posting on CareerOneStop → ID: 047f7415b421

Payor Data Analyst- Remote

Sharecare · Helena, MT

Mid-level

2026-01-24

MT 2026-01-24

View full posting on CareerOneStop → ID: dce116c2ffd5

Payor Data Analyst- Remote

Sharecare · Cheyenne, WY

Mid-level

2026-01-24

WY 2026-01-24

View full posting on CareerOneStop → ID: 7e23a683473c

Payor Data Analyst- Remote

Sharecare · Bismarck, ND

Mid-level

2026-01-24

ND 2026-01-24

View full posting on CareerOneStop → ID: 45057d8d2ba0

Payor Data Analyst- Remote

Sharecare · Pierre, SD

Mid-level

2026-01-24

SD 2026-01-24

View full posting on CareerOneStop → ID: 558bd38a6722

Payor Data Analyst- Remote

Sharecare · Santa Fe, NM

Mid-level

2026-01-24

NM 2026-01-24

View full posting on CareerOneStop → ID: efb6f161a4de

Payor Data Analyst- Remote

Sharecare · Lincoln, NE

Mid-level

2026-01-24

NE 2026-01-24

View full posting on CareerOneStop → ID: c32da53b78a4

Data Analyst, Supply Chain (Starlink)

SpaceX · Redmond, WA

Mid-level

2025-12-11

WA 2025-12-11

View full posting on CareerOneStop → ID: c243d0ecadf6

Summer 2026 Intern | AfterSales Data Analyst

Paccar Winch Inc. · Kirkland, WA

Intern

2025-12-11

WA 2025-12-11

View full posting on CareerOneStop → ID: 6bf9e77b294a

Sr Business Intelligence Engineer, CLS Technology

Amazon · Bellevue, WA

Senior

2025-12-05

WA 2025-12-05

View full posting on CareerOneStop → ID: f204b4486b48

Data Analytics Consultant

US Tech Solutions · Kirkland, WA

Mid-level

2024-10-09

WA 2024-10-09

View full posting on CareerOneStop → ID: 1626e7c0e6fe