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, 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

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

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

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

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

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

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 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 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 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

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

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

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

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-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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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

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

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

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

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