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Business Intelligence Analysts

15-2051.01 Bright Outlook $158K
464
postings
Career stage: All Intern (37) Entry-level (30) Mid-level (464) Senior (384) Manager (158) Director (57)
Education: All Associate's (5) Bachelor's (104) Master's (70) Doctorate (7)
What do these filters mean?
Career stage is read from the job title. Use it to find jobs aimed at where you are right now:
  • Intern You can apply while still in school.
  • Entry-level Designed for new graduates.
  • Mid-level Typically expects internship or 2-3 years of experience.
  • Senior Established career role — usually 5+ years experience.
  • Manager Leads a team of engineers, not an early-career role.
  • Director Executive role — typically 10+ years of career experience.
Education is the highest degree the posting explicitly mentions. Postings that don't say are not filtered out — they appear under "All".
Business Intelligence Engineer II, AWS Infrastructure Supply Chain Intelligence
Amazon · Bellevue, WA
Mid-level
2026-06-05
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Build reports, dashboards, and analyses to deliver metrics and insights to the business.
  • Translate difficult business problem statements into analysis requirements and maintain high bar throughout the execution.
  • Define analytical approach; review and vet analytical approach with stakeholders.
  • Proactively and independently work with stakeholders to construct use cases and associated standardized outputs.
  • Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis.
  • Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business.
  • Learn and understand a broad range of Amazon's data resources and know how, when, and which
View full posting on CareerOneStop → ID: 3595234969a6
Business Intelligence Engineer II, SCOT - Long Term Planning and Forecasting
Amazon · Bellevue, WA
Mid-level
2026-06-05
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Develop and maintain analytical dashboards, reports, and data pipelines using Amazon QuickSight, SQL, and AWS services to track forecast performance across Topline, Inventory, and Capacity planning - following established architectural patterns and team standards to ensure solutions are reliable and well-documented
  • Collaborate with scientists, engineers, and product managers to gather requirements and deliver data solutions that surface root-cause insights - escalating trade-offs and prioritization decisions to senior team members when needed
  • Build and maintain data models, ETL processes, and automated reporting mechanisms that enable data-driven decision making - optimizing for performance and reliability within the team's existing frameworks
  • Leverage generative AI tools and techniques to accelerate insight generation and automate reporting workflows, contributing ideas for new AI-driven improvements to the team's analytical processes
  • Conduct deep-dive analyses to identify trends, patterns, and opportunities for improvement - delivering clear findings on well-scoped business questions and contributing to analyses on more complex or ambiguous problems with guidance from senior team members
  • Proactively identify data quality issues, dependencies, and bottlenecks - troubleshooting and resolving issues within scope and escalating broader systemic problems with clear documentation
  • Own and deliver medium-complexity projects from start to finish - developing project plans, tracking milestones, and communicating findings clearly to team leads and stakeholders
  • Adopt and champion team best practices in data modeling, metric definitions, and code quality - proactively identifying opportunities to improve processes and tools within your area of ownership
  • Support onboarding of new team members and contribute to knowledge-sharing initiatives; participate in hiring loops and technical assessments as a bar raiser candidate (with development support)
  • LTPF BI Engineers focus on how our customers use our forecasts and plans, and ensuring it's as easy as possible to access and understand them. We serve on the front lines of forecast and plan validation as a proxy for our customers, making sure changes across Topline, Inventory, and Capacity are well understood and clearly communicated. We develop reports and data access points that answer key questions about forecast performance, inventory positioning, and capacity planning - and work with science and engineering teams to resolve forecast and planning questions.
  • Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
  • The benefits that generally apply to regular, full-time employees include:
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
  • At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
View full posting on CareerOneStop → ID: 5eff6544698d
Business Intelligence Engineer, Ad Sales Finance Analytics
Amazon · Seattle, WA
Mid-level
2026-06-04
Requirements
  • 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 4+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions - Own the forecasting model for IX countries and enhance the existing model to align with sales calls while minimizing forecasting errors. - Make recommendations for new metrics, techniques, and strategies to improve team performance and measurement in the future - Define the data elements and data structure that our team should leverage to enable analytical and reporting capabilities for our business development team - Design and influence operational best practices for reporting and analytics to enable the team to scale - Prepare and deliver business reviews to the senior management team regarding progress and roadblocks - Work with engineering and the data warehouse to enable the appropriate capture and storage of key data points - Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format - Participate in strategic & tactical planning discussions
  • Your day will be a dynamic blend of data exploration, strategic problem-solving, and cross-functional collaboration. You'll dive deep into complex data landscapes, crafting visualizations and models that reveal hidden patterns and opportunities for Amazon's advertising platforms.
View full posting on CareerOneStop → ID: 1ad3d222c542
Business Intelligence Engineer, AWS Regions Finance
Amazon · Seattle, WA
Mid-level Bachelor's
2026-06-04
Requirements
  • 5+ years of SQL, ETL or Oracle experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Bachelor's degree or equivalent in Finance, Business, Economics, Mathematics, or other highly quantitative fields
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Work with business customers to gather requirements and deliver complete data analytical solutions
  • Learn why customers are asking for data and what their underlying questions and business goals are
  • Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions
  • Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation
  • Drive data democratization throughout the organization, enabling others to self-serve their data needs
View full posting on CareerOneStop → ID: 21f1932c7656
Business Intelligence Engineer, Denied Party Screening
Amazon · Seattle, WA
Mid-level
2026-06-04
Requirements
  • 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Interface with business customers to gather requirements, drive reporting or analytic projects to help solve complex challenges.
  • Design, implement, and support datasets that provide structured data for reporting and analysis.
  • Develop reports and dashboards across various business teams to drive adoption and increase visibility into key measures of business performance.
  • Analyze billions of rows of data to find the root causes behind variances and drive business insights.
  • Investigate and implement new big data technologies to provide automatic resolutions to address business needs.
  • The successful candidate will demonstrate good business acumen, experience in developing reports and conducting analysis, strong technical skills and communication skills, an ability to work effectively cross functional teams, and an ability to work in an ever-changing environment.
View full posting on CareerOneStop → ID: 635573923e2b
Business Intelligence Engineer, Rapid & Rural Logistics (R2L) Science & AI
Amazon · Bellevue, WA
Mid-level
2026-06-04
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • As a BIE II on our team, you will sit at the intersection of data, science, and product - owning end-to-end analytics solutions from ambiguous problem spaces to deployed insights. You'll design scalable data models, build high-quality datasets, and partner closely with Data Scientists and System Development Engineers to integrate predictive models and AI agents into business workflows. This role goes beyond dashboards: you'll share how AI is used in production, evaluate model performance, and ensure outputs are accurate, explainable, and actionable.
  • Key responsibilities include developing performant ETL pipelines, defining metrics and experimentation frameworks, and building intuitive reporting layers that surface both descriptive and predictive insights.
  • We're looking for someone who is equally comfortable writing complex SQL, thinking statistically about data, and collaborating on AI-driven solutions. If you're excited about building the next generation of data + AI agents/systems that directly impact operations, this role offers high ownership and visibility.
View full posting on CareerOneStop → ID: 7f57f1f82e2a
Business Intelligence Engineer, Tools & Automation, WW Engineering & Innovation
Amazon · Bellevue, WA
Mid-level
2026-06-04
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Build and maintain dashboards, tools, and platforms that serve VP/SVP-level executives
  • Translate PM-defined requirements into scalable technical solutions
  • Design data architecture connecting leadership level team portfolios to org-level views
  • Own the full build lifecycle: requirements intake ? design ? build ? deploy ? iterate
  • Automate manual reporting processes currently done in Excel
  • Evaluate existing tools and build integrations or replacements
  • Maintain and iterate on all platforms post-launch based on PM feedback and evolving needs
  • Document technical architecture and create runbooks for platform maintenance
View full posting on CareerOneStop → ID: cba65ba29f72
Medicaid Business Intelligence Engineer
Humana · Olympia, WA
Mid-level Master's
2026-06-04
Requirements
  • 2+ years of experience in Python or Pyspark
  • 2+ years of experience in Jupyter Notebook environment
  • 2+ years of experience in Databricks Platform
  • 2+ years of experience in Microsoft PowerBI or other data visualization software
  • 2+ years of experience working with Big Data and performing root cause analysis.
  • 2+ years of experience in business ownership of data processes
  • In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
Preferred
  • Experience in Managed Care
  • Experience in Medicaid
  • Experience in risk adjustment
  • Experience with data mining and predictive modeling techniques
  • Ability to use data to drive business outcomes and decisions
  • Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
  • *Additional Information
View full posting on CareerOneStop → ID: e7d3e7988b3e
Medicaid Business Intelligence Engineer
Humana · Boise, ID
Mid-level Master's
2026-06-04
Requirements
  • 2+ years of experience in Python or Pyspark
  • 2+ years of experience in Jupyter Notebook environment
  • 2+ years of experience in Databricks Platform
  • 2+ years of experience in Microsoft PowerBI or other data visualization software
  • 2+ years of experience working with Big Data and performing root cause analysis.
  • 2+ years of experience in business ownership of data processes
  • In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
Preferred
  • Experience in Managed Care
  • Experience in Medicaid
  • Experience in risk adjustment
  • Experience with data mining and predictive modeling techniques
  • Ability to use data to drive business outcomes and decisions
  • Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
  • *Additional Information
View full posting on CareerOneStop → ID: 66930b4edbcd
Pharmacy Benefits Data Analyst - St. Luke's Health Plan
St. Luke's Health System · Boise, ID
Mid-level Bachelor's
2026-06-04
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
Medicaid Business Intelligence Engineer
Humana · Salem, OR
Mid-level Master's
2026-06-04
Requirements
  • 2+ years of experience in Python or Pyspark
  • 2+ years of experience in Jupyter Notebook environment
  • 2+ years of experience in Databricks Platform
  • 2+ years of experience in Microsoft PowerBI or other data visualization software
  • 2+ years of experience working with Big Data and performing root cause analysis.
  • 2+ years of experience in business ownership of data processes
  • In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
Preferred
  • Experience in Managed Care
  • Experience in Medicaid
  • Experience in risk adjustment
  • Experience with data mining and predictive modeling techniques
  • Ability to use data to drive business outcomes and decisions
  • Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
  • *Additional Information
View full posting on CareerOneStop → ID: 1761385017eb
Medicaid Business Intelligence Engineer
Humana · Helena, MT
Mid-level Master's
2026-06-04
Requirements
  • 2+ years of experience in Python or Pyspark
  • 2+ years of experience in Jupyter Notebook environment
  • 2+ years of experience in Databricks Platform
  • 2+ years of experience in Microsoft PowerBI or other data visualization software
  • 2+ years of experience working with Big Data and performing root cause analysis.
  • 2+ years of experience in business ownership of data processes
  • In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
Preferred
  • Experience in Managed Care
  • Experience in Medicaid
  • Experience in risk adjustment
  • Experience with data mining and predictive modeling techniques
  • Ability to use data to drive business outcomes and decisions
  • Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
  • *Additional Information
View full posting on CareerOneStop → ID: 90159409d9b3
Business Intel Engineer II - AMZ9675031
AMAZON.COM SERVICES LLC · Seattle, WA
Mid-level
2026-06-04
View full posting on CareerOneStop → ID: af9c6181e385
Business Intelligence Engineer - Business Intelligence Engineer IV
Ampcus, Inc · Seattle, WA
Mid-level
2026-06-04
View full posting on CareerOneStop → ID: d9c77e30aab5
Healthcare Data Analyst IV
Premera Blue Cross · Mountlake Terrace, WA
Mid-level
2026-06-04
View full posting on CareerOneStop → ID: 917ca11dc44e
Data Analyst - (100% Remote)
Serco · Olympia, WA
Mid-level
2026-06-04
View full posting on CareerOneStop → ID: ad6d57dcae06
Business Intelligence Engineer, WWGS Retail BI, WWGS Retail BI
Amazon · Seattle, WA
Mid-level
2026-06-03
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Design and implement automated ETL pipelines, data models, and reporting solutions that transform raw data into actionable insights for grocery retail stakeholders
  • Build self-service dashboards and analytics tools that enable business teams to monitor performance and make data-driven decisions independently
  • Develop AI-powered solutions that improve stakeholder access to data and accelerate time-to-insight
  • Write high-quality SQL to retrieve and analyze complex datasets, understanding which data sources to use and how to join them reliably
  • Deliver insights that go beyond "what happened" to explain "why" and recommend "what to do next"
  • Partner cross-functionally to translate ambiguous business requirements into technical solutions
  • Implement data quality monitoring and documentation practices that maintain trust in analytics outputs
  • You'll split your time between building scalable analytics infrastructure and partnering directly with stakeholders to answer their most pressing questions. Some days you're deep in code building pipelines or prototyping an AI tool; others you're presenting findings to leadership or whiteboarding a measurement framework with cross-functional partners. You'll balance planned projects with urgent requests, supporting the emergent needs of the business along with contributing to the long-term data vision.
View full posting on CareerOneStop → ID: 20add5035492
CTMS Data Analyst 1
University of Washington · Seattle, WA
Mid-level Bachelor's
2026-06-03
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
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
RWD Data Analyst
Norstella · Olympia, WA
Mid-level Bachelor's
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
RWD Data Analyst
Norstella · Salem, OR
Mid-level Bachelor's
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
Requirements
  • Bachelor's degree in Data Science, Computer Science, Public Health, Biostatistics, Epidemiology, or a related field
  • 2-5 years of hands-on experience with real-world healthcare data, with demonstrated ability to assess source suitability and formulate data-driven recommendations
  • Comprehensive knowledge of RWD source types - including claims, EHR/EMR, laboratory, and unstructured data - and the ability to articulate appropriate use cases for each
  • Prior experience investigating unstructured or semi-structured EMR data, including identification of analytically viable variables within complex source formats
  • Strong proficiency in SQL, including complex multi-table query development; ability to produce and review production-quality extract logic
  • Demonstrated capacity to formulate and defend analytical decisions - including data selection, exclusion criteria, and edge case handling - grounded in both technical and clinical reasoning
  • Proficiency with AI-powered development tools (e.g., ChatGPT, Claude), with demonstrated ability to apply these tools to accelerate delivery and address complex analytical challenges
  • Familiarity with the life sciences industry and the drug development lifecycle
  • Experience with version control systems in a collaborative development environment
  • Strong analytical and critical thinking skills, with a demonstrated track record of proactive issue identification and resolution
  • Ability to manage multiple concurrent projects while sustaining high standards of quality, accuracy, and stakeholder responsiveness
Preferred
  • Experience working with vendor-delivered data products, including familiarity with delivery formats, data dictionaries, and source-specific quality considerations
  • Exposure to RWD product development, including participation in decisions regarding data asset design or feature prioritization
  • Experience translating clinical or scientific documentation into executable database logic
  • Proficiency with data analysis and pipeline tools such as Python, R, Airflow, or equivalent
  • Comfort operating within governed, production-oriented data environments
  • Experience supporting client-facing or downstream data delivery workflows
Responsibilities
  • Norstella's Real-World Data (RWD) team is seeking a mid-level Data Analyst with demonstrated expertise in real-world healthcare data. This role is designed for an analytically rigorous professional who applies critical thinking to each data engagement - evaluating source suitability, informing methodological decisions, and delivering outputs that reflect both technical precision and clinical reasoning.
  • The successful candidate will possess a thorough understanding of RWD source types and their respective limitations, and will be expected to make substantive, well-supported recommendations on data selection, inclusion and exclusion criteria, and analytical approach. This individual will serve as a trusted technical resource for internal teams and client-facing stakeholders, translating complex requirements into sound data strategies while proactively identifying risks and driving issues to resolution.
  • While the role requires strong technical proficiency, candidates are expected to bring a consultative orientation to their work - engaging with client needs, contributing to product decisions, and consistently seeking to improve outcomes rather than simply executing against defined specifications.
  • *_RWD Expertise & Data Advisory_
  • Serve as a subject matter expert across real-world data source types, including claims, EHR/EMR, laboratory, and NLP-derived data, with a thorough understanding of the strengths, limitations, and appropriate applications of each
  • Evaluate client and project requirements to formulate clear, well-reasoned recommendations regarding data source selection, variable construction, and inclusion and exclusion criteria
  • Advise on vendor data structures and delivery formats, translating source-specific characteristics into actionable guidance for project and delivery teams
  • Contribute domain expertise to internal product development discussions, identifying opportunities to enhance data offerings in response to evolving industry and client needs
  • *_Critical Problem Solving & Analytical Decision Making_
  • Apply structured analytical reasoning to each data engagement, critically evaluating requirements, challenging assumptions where appropriate, and recommending the most defensible analytical path forward
  • Investigate complex and unstructured data sources - including raw EMR data - to assess fitness for purpose and identify viable analytical signal
  • Anticipate downstream data quality and delivery risks, proactively surfacing issues and proposing solutions prior to escalation
  • Leverage AI-powered tools (e.g., ChatGPT, Claude) to enhance development efficiency, support artifact generation, and address non-standard analytical challenges
  • *_Data Extract Development & Implementation_
  • Design and develop client-specific data extracts that reflect both the stated specification and a sound, defensible understanding of the underlying data
  • Translate real-world data requirements into production-quality SQL logic, with attention to accuracy, reproducibility, and long-term maintainability
  • Develop and maintain database queries and procedures used to extract and structure RWD across multiple data sources
  • *_Client & Stakeholder Engagement_
  • Partner with client-facing teams to develop a thorough understanding of client intent, engaging constructively when data limitations require an alternative approach
  • Communicate data decisions, methodological trade-offs, and analytical assumptions clearly to both technical and non-technical audiences
  • Manage multiple concurrent project workstreams, maintaining quality and responsiveness across competing priorities
  • *_Collaboration & Knowledge Sharing_
  • Collaborate with analytics, engineering, and delivery teams to ensure shared understanding of data logic, source assumptions, and extract methodology
  • Contribute to shared documentation, standard operating procedures, and team knowledge resources
  • Participate in team discussions related to data quality, process improvement, and product direction
  • All other duties as assigned
View full posting on CareerOneStop → ID: be381acf113e
Total Rewards Data Analyst
Micron Technology, Inc. · Boise, ID
Mid-level Master's
2026-06-02

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

View full posting on CareerOneStop → ID: 4874a884e2ec
RWD Data Analyst
Norstella · Helena, MT
Mid-level Bachelor's
2026-06-02
Requirements
  • Bachelor's degree in Data Science, Computer Science, Public Health, Biostatistics, Epidemiology, or a related field
  • 2-5 years of hands-on experience with real-world healthcare data, with demonstrated ability to assess source suitability and formulate data-driven recommendations
  • Comprehensive knowledge of RWD source types - including claims, EHR/EMR, laboratory, and unstructured data - and the ability to articulate appropriate use cases for each
  • Prior experience investigating unstructured or semi-structured EMR data, including identification of analytically viable variables within complex source formats
  • Strong proficiency in SQL, including complex multi-table query development; ability to produce and review production-quality extract logic
  • Demonstrated capacity to formulate and defend analytical decisions - including data selection, exclusion criteria, and edge case handling - grounded in both technical and clinical reasoning
  • Proficiency with AI-powered development tools (e.g., ChatGPT, Claude), with demonstrated ability to apply these tools to accelerate delivery and address complex analytical challenges
  • Familiarity with the life sciences industry and the drug development lifecycle
  • Experience with version control systems in a collaborative development environment
  • Strong analytical and critical thinking skills, with a demonstrated track record of proactive issue identification and resolution
  • Ability to manage multiple concurrent projects while sustaining high standards of quality, accuracy, and stakeholder responsiveness
Preferred
  • Experience working with vendor-delivered data products, including familiarity with delivery formats, data dictionaries, and source-specific quality considerations
  • Exposure to RWD product development, including participation in decisions regarding data asset design or feature prioritization
  • Experience translating clinical or scientific documentation into executable database logic
  • Proficiency with data analysis and pipeline tools such as Python, R, Airflow, or equivalent
  • Comfort operating within governed, production-oriented data environments
  • Experience supporting client-facing or downstream data delivery workflows
Responsibilities
  • Norstella's Real-World Data (RWD) team is seeking a mid-level Data Analyst with demonstrated expertise in real-world healthcare data. This role is designed for an analytically rigorous professional who applies critical thinking to each data engagement - evaluating source suitability, informing methodological decisions, and delivering outputs that reflect both technical precision and clinical reasoning.
  • The successful candidate will possess a thorough understanding of RWD source types and their respective limitations, and will be expected to make substantive, well-supported recommendations on data selection, inclusion and exclusion criteria, and analytical approach. This individual will serve as a trusted technical resource for internal teams and client-facing stakeholders, translating complex requirements into sound data strategies while proactively identifying risks and driving issues to resolution.
  • While the role requires strong technical proficiency, candidates are expected to bring a consultative orientation to their work - engaging with client needs, contributing to product decisions, and consistently seeking to improve outcomes rather than simply executing against defined specifications.
  • *_RWD Expertise & Data Advisory_
  • Serve as a subject matter expert across real-world data source types, including claims, EHR/EMR, laboratory, and NLP-derived data, with a thorough understanding of the strengths, limitations, and appropriate applications of each
  • Evaluate client and project requirements to formulate clear, well-reasoned recommendations regarding data source selection, variable construction, and inclusion and exclusion criteria
  • Advise on vendor data structures and delivery formats, translating source-specific characteristics into actionable guidance for project and delivery teams
  • Contribute domain expertise to internal product development discussions, identifying opportunities to enhance data offerings in response to evolving industry and client needs
  • *_Critical Problem Solving & Analytical Decision Making_
  • Apply structured analytical reasoning to each data engagement, critically evaluating requirements, challenging assumptions where appropriate, and recommending the most defensible analytical path forward
  • Investigate complex and unstructured data sources - including raw EMR data - to assess fitness for purpose and identify viable analytical signal
  • Anticipate downstream data quality and delivery risks, proactively surfacing issues and proposing solutions prior to escalation
  • Leverage AI-powered tools (e.g., ChatGPT, Claude) to enhance development efficiency, support artifact generation, and address non-standard analytical challenges
  • *_Data Extract Development & Implementation_
  • Design and develop client-specific data extracts that reflect both the stated specification and a sound, defensible understanding of the underlying data
  • Translate real-world data requirements into production-quality SQL logic, with attention to accuracy, reproducibility, and long-term maintainability
  • Develop and maintain database queries and procedures used to extract and structure RWD across multiple data sources
  • *_Client & Stakeholder Engagement_
  • Partner with client-facing teams to develop a thorough understanding of client intent, engaging constructively when data limitations require an alternative approach
  • Communicate data decisions, methodological trade-offs, and analytical assumptions clearly to both technical and non-technical audiences
  • Manage multiple concurrent project workstreams, maintaining quality and responsiveness across competing priorities
  • *_Collaboration & Knowledge Sharing_
  • Collaborate with analytics, engineering, and delivery teams to ensure shared understanding of data logic, source assumptions, and extract methodology
  • Contribute to shared documentation, standard operating procedures, and team knowledge resources
  • Participate in team discussions related to data quality, process improvement, and product direction
  • All other duties as assigned
View full posting on CareerOneStop → ID: d0b60751e153
Business Intelligence Engineer II, Amazon Freight
Amazon · Bellevue, WA
Mid-level Master's
2026-06-02
Requirements
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
Preferred
  • Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
  • 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • 1+ years of managing, analyzing and communicating results to senior leadership experience
Responsibilities
  • Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance
  • Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements
  • Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models
  • Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
View full posting on CareerOneStop → ID: 1bf8e9685e65
Data Analyst (Consulting)
SolomonEdwards · Olympia, WA
Mid-level Master's
2026-06-02
Requirements
  • · High School Diploma or equivalent required.
  • · Bachelor's degree preferred.
  • · Master of Library and Information Science (MLIS) strongly preferred.
  • · Experience working with large datasets across multiple applications.
  • · Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
  • · Experience with asset inventory management and recordkeeping.
  • · Experience with reporting, dashboarding, and data visualization tools.
  • · Strong project management and organizational skills.
  • · Experience supporting content strategy and planning initiatives.
  • · Media, entertainment, or archive management experience preferred.
  • *Skills and Job-Specific Competencies:
  • · Experience with Digital Asset Management (DAM) platforms.
  • · Knowledge of metadata management and taxonomy standards.
  • · Proficiency in Tableau for data visualization and reporting.
  • · Working knowledge of XML.
  • · Advanced proficiency with Adobe Acrobat Pro.
  • · Experience with FileMaker databases.
  • · Proficiency in Microsoft Access.
  • · Advanced Microsoft Excel skills, including reporting and data analysis.
  • · Experience working with Content Management Systems (CMS).
  • · Professional Competencies.
  • · Strong analytical, critical thinking, and problem-solving abilities.
  • · Exceptional attention to detail and commitment to accuracy.
  • · Excellent written and verbal communication skills.
  • · Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
  • · Sound judgment with the ability to make independent decisions.
  • · Strong collaboration and stakeholder relationship management skills.
  • · Ability to maintain confidentiality and handle sensitive information with discretion.
  • · Self-motivated with the ability to work independently and as part of a team.
  • *Travel Requirements: No travel will be required, unless at the client's discretion.
Responsibilities
  • We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
  • · Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
  • · Perform data mining, validation, and quality control across multiple systems.
  • · Manage metadata, inventory records, and digital asset information.
  • · Develop and maintain dashboards, reports, and data visualizations.
  • · Generate regular and ad hoc reporting to support business decisions.
  • · Coordinate with internal teams and client stakeholders to meet project milestones.
  • · Troubleshoot data, content, and system issues and escalate when necessary.
View full posting on CareerOneStop → ID: 4e203335dae2
Data Analyst (Consulting)
SolomonEdwards · Boise, ID
Mid-level Master's
2026-06-02
Requirements
  • · High School Diploma or equivalent required.
  • · Bachelor's degree preferred.
  • · Master of Library and Information Science (MLIS) strongly preferred.
  • · Experience working with large datasets across multiple applications.
  • · Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
  • · Experience with asset inventory management and recordkeeping.
  • · Experience with reporting, dashboarding, and data visualization tools.
  • · Strong project management and organizational skills.
  • · Experience supporting content strategy and planning initiatives.
  • · Media, entertainment, or archive management experience preferred.
  • *Skills and Job-Specific Competencies:
  • · Experience with Digital Asset Management (DAM) platforms.
  • · Knowledge of metadata management and taxonomy standards.
  • · Proficiency in Tableau for data visualization and reporting.
  • · Working knowledge of XML.
  • · Advanced proficiency with Adobe Acrobat Pro.
  • · Experience with FileMaker databases.
  • · Proficiency in Microsoft Access.
  • · Advanced Microsoft Excel skills, including reporting and data analysis.
  • · Experience working with Content Management Systems (CMS).
  • · Professional Competencies.
  • · Strong analytical, critical thinking, and problem-solving abilities.
  • · Exceptional attention to detail and commitment to accuracy.
  • · Excellent written and verbal communication skills.
  • · Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
  • · Sound judgment with the ability to make independent decisions.
  • · Strong collaboration and stakeholder relationship management skills.
  • · Ability to maintain confidentiality and handle sensitive information with discretion.
  • · Self-motivated with the ability to work independently and as part of a team.
  • *Travel Requirements: No travel will be required, unless at the client's discretion.
Responsibilities
  • We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
  • · Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
  • · Perform data mining, validation, and quality control across multiple systems.
  • · Manage metadata, inventory records, and digital asset information.
  • · Develop and maintain dashboards, reports, and data visualizations.
  • · Generate regular and ad hoc reporting to support business decisions.
  • · Coordinate with internal teams and client stakeholders to meet project milestones.
  • · Troubleshoot data, content, and system issues and escalate when necessary.
View full posting on CareerOneStop → ID: cb56e9b38b82
Data Analyst (Consulting)
SolomonEdwards · Salem, OR
Mid-level Master's
2026-06-02
Requirements
  • · High School Diploma or equivalent required.
  • · Bachelor's degree preferred.
  • · Master of Library and Information Science (MLIS) strongly preferred.
  • · Experience working with large datasets across multiple applications.
  • · Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
  • · Experience with asset inventory management and recordkeeping.
  • · Experience with reporting, dashboarding, and data visualization tools.
  • · Strong project management and organizational skills.
  • · Experience supporting content strategy and planning initiatives.
  • · Media, entertainment, or archive management experience preferred.
  • *Skills and Job-Specific Competencies:
  • · Experience with Digital Asset Management (DAM) platforms.
  • · Knowledge of metadata management and taxonomy standards.
  • · Proficiency in Tableau for data visualization and reporting.
  • · Working knowledge of XML.
  • · Advanced proficiency with Adobe Acrobat Pro.
  • · Experience with FileMaker databases.
  • · Proficiency in Microsoft Access.
  • · Advanced Microsoft Excel skills, including reporting and data analysis.
  • · Experience working with Content Management Systems (CMS).
  • · Professional Competencies.
  • · Strong analytical, critical thinking, and problem-solving abilities.
  • · Exceptional attention to detail and commitment to accuracy.
  • · Excellent written and verbal communication skills.
  • · Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
  • · Sound judgment with the ability to make independent decisions.
  • · Strong collaboration and stakeholder relationship management skills.
  • · Ability to maintain confidentiality and handle sensitive information with discretion.
  • · Self-motivated with the ability to work independently and as part of a team.
  • *Travel Requirements: No travel will be required, unless at the client's discretion.
Responsibilities
  • We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
  • · Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
  • · Perform data mining, validation, and quality control across multiple systems.
  • · Manage metadata, inventory records, and digital asset information.
  • · Develop and maintain dashboards, reports, and data visualizations.
  • · Generate regular and ad hoc reporting to support business decisions.
  • · Coordinate with internal teams and client stakeholders to meet project milestones.
  • · Troubleshoot data, content, and system issues and escalate when necessary.
View full posting on CareerOneStop → ID: a077bd9739ea
Data Analyst (Consulting)
SolomonEdwards · Helena, MT
Mid-level Master's
2026-06-02
Requirements
  • · High School Diploma or equivalent required.
  • · Bachelor's degree preferred.
  • · Master of Library and Information Science (MLIS) strongly preferred.
  • · Experience working with large datasets across multiple applications.
  • · Experience with Digital Asset Management (DAM) systems, metadata, and taxonomy standards.
  • · Experience with asset inventory management and recordkeeping.
  • · Experience with reporting, dashboarding, and data visualization tools.
  • · Strong project management and organizational skills.
  • · Experience supporting content strategy and planning initiatives.
  • · Media, entertainment, or archive management experience preferred.
  • *Skills and Job-Specific Competencies:
  • · Experience with Digital Asset Management (DAM) platforms.
  • · Knowledge of metadata management and taxonomy standards.
  • · Proficiency in Tableau for data visualization and reporting.
  • · Working knowledge of XML.
  • · Advanced proficiency with Adobe Acrobat Pro.
  • · Experience with FileMaker databases.
  • · Proficiency in Microsoft Access.
  • · Advanced Microsoft Excel skills, including reporting and data analysis.
  • · Experience working with Content Management Systems (CMS).
  • · Professional Competencies.
  • · Strong analytical, critical thinking, and problem-solving abilities.
  • · Exceptional attention to detail and commitment to accuracy.
  • · Excellent written and verbal communication skills.
  • · Ability to effectively manage multiple priorities and meet deadlines in a fast-paced environment.
  • · Sound judgment with the ability to make independent decisions.
  • · Strong collaboration and stakeholder relationship management skills.
  • · Ability to maintain confidentiality and handle sensitive information with discretion.
  • · Self-motivated with the ability to work independently and as part of a team.
  • *Travel Requirements: No travel will be required, unless at the client's discretion.
Responsibilities
  • We are seeking a Data Analyst to join a leading global media and entertainment organization with operations across multiple business units and extensive archival collections. This role will support enterprise-wide data migration, metadata management, digital asset inventory, and reporting initiatives focused on modernizing legacy systems and improving data accessibility, quality, and governance.
  • · Analyze legacy datasets to support data cleanup, consolidation, and standardization initiatives.
  • · Perform data mining, validation, and quality control across multiple systems.
  • · Manage metadata, inventory records, and digital asset information.
  • · Develop and maintain dashboards, reports, and data visualizations.
  • · Generate regular and ad hoc reporting to support business decisions.
  • · Coordinate with internal teams and client stakeholders to meet project milestones.
  • · Troubleshoot data, content, and system issues and escalate when necessary.
View full posting on CareerOneStop → ID: ebcc60716aa1
Business Intelligence Analyst 3
ManpowerGroup · Redmond, WA
Mid-level
2026-05-30

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

View full posting on CareerOneStop → ID: dac73e276e2c
Business Intel Engineer II - AMZ9675031, Creators and Social Analytics Team
Amazon · Seattle, WA
Mid-level Bachelor's
2026-05-30
Requirements
  • Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and two years of experience in the job offered or a related occupation. Must have one year of experience in the following skill(s): (1) using SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources; (3) performing statistical analysis; and (4) developing automated reporting.
Preferred
  • Please see job description and the position requirements above.
Responsibilities
  • Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
  • THIS NOTICE IS BEING POSTED AS A RESULT OF THE FILING OF AN APPLICATION FOR PERMANENT ALIEN LABOR CERTIFICATION FOR THIS JOB OPPORTUNITY. ANY PERSON MAY PROVIDE DOCUMENTARY EVIDENCE BEARING ON THE APPLICATION (SUCH AS INFORMATION ON AVAILABLE WORKERS, WAGES, WORKING CONDITIONS, AND ANY OTHER THAT IS FELT TO BE PERTINENT) TO:
  • Certifying Office
  • U.S. Department of Labo
  • Employment and Training Administration
  • Office of Foreign Labor Certification
  • 200 Constitution Avenue, NW
  • Washington, DC 20210
  • Certifying Office E-mail: plc.atlanta@dol.gov
  • MULTIPLE POSITIONS AVAILABLE
  • Employer: AMAZON.COM SERVICES LLC
  • Offered Position: Business Intel Engineer II
View full posting on CareerOneStop → ID: 8c1c3c25b6e0
Business Intelligence Engineer, Prime Video Science Tech
Amazon · Seattle, WA
Mid-level
2026-05-30
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 3+ years of SQL, ETL or Oracle experience
  • 3+ years of processing large, multi-dimensional datasets from multiple sources experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • 3+ years of performing statistical analysis experience
  • 3+ years of developing automated reporting experience
  • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Interacting with stakeholders (technical and non-technical) to understand primary use cases and questions.
  • Building data queries for ad hoc uses, dashboards, and deep-dive on data-pipeline.
  • Working with Data Engineers, Data scientists and Marketing media managers to provide data and insights for building Prime Video marketing measurement insights.
  • Managing cross organizational program for providing quality data for Prime Video Science models. Strong in communication and document writing for sharing regular updates on programs.
  • A typical day in this role provides opportunities for building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions.
  • Gather detailed requirements from stakeholders to understand their manual processes and pain points. Serve as the liaison between the engineering team and Prime Video stakeholders.
  • Think creatively to identify opportunities to solve problems using technology-driven solutions.
  • Design and implement optimal automation solutions to address stakeholder needs.
  • Manage cross organizational Data programs. Respond to ad hoc requests, and communicate on program updates.
  • Run Tech prioritization mechanism, and write document for leadership review on program updates.
View full posting on CareerOneStop → ID: fd4f8a6e5c9b
Business Intelligence Developer
Jacksons · Meridian, ID
Mid-level Bachelor's
2026-05-30
Education
  • 4 year bachelor's degree in Computer Science, Data Science, Business Analytics or related field.
  • 2+ years' experience in a data analytics role.
  • 2+ years' experience with SQL Server stack (i.e.SSMS, SSRS) and DAX.
  • 2+ years' experience with Experience with Data Modeling and ETL Tools.
  • 2+ years' experience with Data Visualization or related (i.e. Power BI).
  • 2+ years' experience with Microsoft Excel.
  • 2+ years' experience with Microsoft 365 Office.
  • Strong Oral and Written Communication, Computer Skills, and Technical Expertise.
  • Advanced problem solving and analytical skills.
  • An ability to assess performance using key metrics, quickly identify improvement opportunities, and develop and implement an appropriate action plan to address issues.
  • Demonstrated customer and personal service skills using customer/employer needs assessment, evaluation of satisfaction and ensuring quality standards of service.
  • Practice operating independently without the need for continuous oversight or direction.
  • Legal authority to work in the US. Jacksons does not currently sponsor employment.
  • Physical Environment:
Responsibilities
  • Analyze business intelligence needs and requirements and provides data storage, analytical, or reporting tools in response.
  • Create efficient and actionable Business Intelligence solutions following brand guidelines for Power BI reports.
  • Support data models and report backups and redundancy of reporting to maximize uptime.
  • May provide leadership, coaching and/or mentoring to a subordinate group.
  • Tests storage and reporting solutions for functionality and integrity; troubleshoots and resolves errors.
  • Develops standard or custom reports, queries, or dashboards that access and consolidate information from a variety of data sources and provides ongoing support for data users.
  • Utilizes data mining techniques and develops data models to assist in the visualization and interpretation of data.
  • Handles moderately complex issues and problems and refers more complex issues to higher-level staff.
  • May provide leadership, coaching, and/or mentoring to a subordinate group.
  • The duties and responsibilities described are not a comprehensive list and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands.
View full posting on CareerOneStop → ID: 3ebed2bc2d5d
Business Intelligence Engineer II - 3034351
Apex Systems, Inc. · Bellevue, WA
Mid-level
2026-05-30
Requirements
  • *Citizenship: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
  • *Technical Skills:
  • Strong SQL skills for querying risk and compliance data from source systems and BI datasets.
  • Advanced spreadsheet modeling skills (e.g., Excel) for interim mechanisms, normalization, and scenario analysis.
  • Hands-on experience with BI platforms such as Microsoft Power BI, Tableau, or equivalent tools.
  • Ability to design and implement repeatable dashboards, KPI/KRI views, and drill-down reports.
Responsibilities
  • Business Intelligence Engineer II
  • We are seeking a Business Intelligence Engineer to enhance and maintain existing reporting structures. This role will focus on improving data quality, standardizing metric calculations, and developing new dashboards and reporting capabilities. The position is project-oriented, supporting a transition to new GRC platforms and ensuring reporting continuity while establishing a stable, well-documented analytics layer for future use.
  • Enhance and maintain reporting within existing BI suites, including data quality reviews.
  • Standardize and document Key Performance Indicator (KPI) and metric calculations.
  • Develop new dashboards, trend analyses, and operational reports for leadership review.
  • Support the transition of data to new Governance, Risk, and Compliance (GRC) platforms.
  • Document queries, dashboard logic, and metric definitions.
  • Develop Standard Operating Procedures (SOPs) and playbooks for future state operations.
  • Create an inventory and rationalization of current spreadsheets, datasets, and reports.
  • Maintain a stable, well-documented analytics layer for handover to future employees.
View full posting on CareerOneStop → ID: cc5cb826748d
Business Intelligence Engineer
Humana · Boise, ID
Mid-level
2026-05-29
Requirements
  • 3+ years of data analysis experience
  • 3+ years advanced experience developing complex SQL queries
  • Advanced knowledge of Excel (ex. Pivot tables, VLOOKUP's, formatting, etc.)
  • Expertise in assessing complex data sets and performing root cause analysis
  • Experience with Azure, Data Bricks, SQL, and business intelligence tools.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to interpret business requirements for provider operations and translate them into technical solutions.
Preferred
  • Experience with Humana systems, specifically Service Fund
  • Experience creating analytics solutions for various healthcare sectors/understanding healthcare related data
  • Experience with tools such as Power BI for creating data visualizations
  • Expertise in data mining
  • Experience with database and/or data system migrations
  • Experience with SQL Servers, Data Bricks, Cloud, Power Platform
  • Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Responsibilities
  • Utilizes technical skills to drive process improvement
  • Conducts data research and/or data processing trouble shooting
  • Assists in producing data ad hoc requests using Excel, PowerPoint, Power BI/Power Platform, and other various analytical tools
  • Supports the Senior Business Intelligence Engineers on the Service Fund team
  • Develops data reporting tools and reporting automation
  • Develop and optimize ETL pipelines using UDAP to consolidate data from multiple sources, ensuring data integrity for Service Fund and provider operations
  • Develop and maintain User Testing acceptance data models that optimize data quality using SQL, Python and/or Data Bricks
  • *Collaboration & Continuous Improvement:
  • Can independently work with cross-functional teams-including business operations, IT, and provider relations-to streamline data processes
  • Support requirements gathering and define Business Use Case user stories as part of system reporting enhancements needs
  • *The ideal applicant will possess the following skills:
  • Industry Knowledge
  • Business Acumen
  • Engaging Presentations
  • Decision Making
  • Project Management
  • Business Analytics
  • Analytical Thinking
  • Problem Solving
  • Emerging Technologies
  • *Use your skills to make an impact
View full posting on CareerOneStop → ID: 17e6f1873062
Data Analyst
Cognizant · Boise, ID
Mid-level Bachelor's
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
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
Medicaid Business Intelligence Engineer
Humana · Boise, ID
Mid-level Master's
2026-05-29
Requirements
  • 2+ years of experience in Python and Pandas Python library.
  • 2+ years of experience in Jupyter Notebook environment.
  • 2+ years of experience in Databricks Platform.
  • 2+ years of experience in Microsoft PowerBI or other data visualization software.
  • 2+ years of experience working with Big Data and performing root cause analysis.
  • 2+ years of experience in business ownership of data processes.
  • In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
Preferred
  • Experience in Managed Care.
  • Experience in Medicaid.
  • Experience in risk adjustment.
  • Experience with data mining and predictive modeling techniques.
  • Ability to use data to drive business outcomes and decisions.
  • Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
View full posting on CareerOneStop → ID: 90e3b0972ce6
Business Intel Engineer II - AMZ27162.1
Amazon · Seattle, WA
Mid-level Master's
2026-05-29
Requirements
  • Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
  • The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
Preferred
  • All applicants must meet all the above listed requirements.
View full posting on CareerOneStop → ID: 9cc8cf91d89e
Business Intelligence Engineer
Humana · Olympia, WA
Mid-level
2026-05-29
Requirements
  • 3+ years of data analysis experience
  • 3+ years advanced experience developing complex SQL queries
  • Advanced knowledge of Excel (ex. Pivot tables, VLOOKUP's, formatting, etc.)
  • Expertise in assessing complex data sets and performing root cause analysis
  • Experience with Azure, Data Bricks, SQL, and business intelligence tools.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to interpret business requirements for provider operations and translate them into technical solutions.
Preferred
  • Experience with Humana systems, specifically Service Fund
  • Experience creating analytics solutions for various healthcare sectors/understanding healthcare related data
  • Experience with tools such as Power BI for creating data visualizations
  • Expertise in data mining
  • Experience with database and/or data system migrations
  • Experience with SQL Servers, Data Bricks, Cloud, Power Platform
  • Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Responsibilities
  • Utilizes technical skills to drive process improvement
  • Conducts data research and/or data processing trouble shooting
  • Assists in producing data ad hoc requests using Excel, PowerPoint, Power BI/Power Platform, and other various analytical tools
  • Supports the Senior Business Intelligence Engineers on the Service Fund team
  • Develops data reporting tools and reporting automation
  • Develop and optimize ETL pipelines using UDAP to consolidate data from multiple sources, ensuring data integrity for Service Fund and provider operations
  • Develop and maintain User Testing acceptance data models that optimize data quality using SQL, Python and/or Data Bricks
  • *Collaboration & Continuous Improvement:
  • Can independently work with cross-functional teams-including business operations, IT, and provider relations-to streamline data processes
  • Support requirements gathering and define Business Use Case user stories as part of system reporting enhancements needs
  • *The ideal applicant will possess the following skills:
  • Industry Knowledge
  • Business Acumen
  • Engaging Presentations
  • Decision Making
  • Project Management
  • Business Analytics
  • Analytical Thinking
  • Problem Solving
  • Emerging Technologies
  • *Use your skills to make an impact
View full posting on CareerOneStop → ID: ead3e1c84b7d
Data Analyst
Cognizant · Olympia, WA
Mid-level Bachelor's
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
Requirements
  • Bachelor's degree or equivalent work experience preferred.
  • Typically 5-8 years of experience in analytics, strategy, consulting, operations, or related healthcare roles preferred.
  • Excellent analytical, organizational, and critical-thinking skills.
  • Demonstrated ability to manage complex, cross-functional work independently.
  • Strong written and verbal communication skills with the ability to translate complexity into clear insights.
  • Experience in healthcare, pharmaceutical distribution, specialty pharmacy, or healthcare services.
  • Proficiency with data and reporting tools such as Excel, Tableau, Looker, and Salesforce (including reporting, dashboards, and pipeline management)
  • Experience leveraging AI tools (e.g., Microsoft Copilot, Gemini, ChatGPT, or similar) to accelerate analysis, automate workflows, and generate business insights
  • Knowledge and proficiency with biosimilar and Advanced therapy pipeline tools such as MMIT, IPD, Zymewire
  • *What is expected of you and others at this level
  • Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects.
  • Participates in the development of policies, procedures, and standards to achieve business objectives.
  • Recommends new practices, processes, metrics, or models that may set precedent.
  • Receives guidance on overall project objectives while determining methods for completion.
  • Work has cross-functional visibility and potential long-term impact.
  • Acts as a mentor to less experienced colleagues.
Preferred
  • Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
Responsibilities
  • Strategy, Analytics & Insight
  • Uses AI-assisted analytics tools (e.g., Copilot, Gemini, LLM-based tools) to rapidly synthesize large datasets, identify trends, and generate actionable insights.
  • Applies prompt engineering and AI-driven workflows to enhance modeling, reporting, and business case development.
  • Applies advanced analytical and business judgment to evaluate complex and ambiguous problems, generating actionable insights that inform strategic and operational decisions.
  • Develops data-driven analyses, business cases, revenue projections, and performance metrics to support portfolio management, pricing, product roadmapping, and growth initiatives.
  • Leverages internal and external data sources, market intelligence, and competitive insights to support prioritization, planning, and decision-making.
  • Prepares executive-ready materials and presentations for senior leadership and cross-functional stakeholders.
  • Pipeline, Portfolio & Reporting
  • Owns and maintains biosimilar and Advanced therapy pipelines, initiative, or product reporting, ensuring data accuracy, consistency, and alignment across stakeholders.
  • Designs and delivers standardized dashboards, reporting tools, and AI-enabled insights (e.g., automated summaries, anomaly detection, predictive signals) to improve visibility and decision support.
  • Monitors product or portfolio changes (e.g., launches, exits, substitutions, contract updates) and conducts impact analyses to assess downstream operational and commercial effects.
  • Leverages Salesforce data and reporting capabilities to build scalable pipeline visibility, forecasting, and performance tracking tools.
  • Utilizes AI tools to automate recurring reporting, generate narrative insights, and reduce manual analysis effort.
  • Process Design & Operational Excellence
  • Identifies opportunities to integrate AI and automation tools to streamline workflows, reduce manual effort, and improve analytical scalability.
  • Cross-Functional Partnership & Influence
  • Collaborates with Product, Marketing, Operations, Sales, and Analytics teams to enable execution readiness and aligned outcomes.
  • Supports sales enablement activities, customer targeting, leadership meetings, and conference preparation as needed.
  • Professional Leadership
  • Recommends new processes, metrics, models, or approaches with meaningful operational or strategic impact.
  • Acts as a mentor to less experienced colleagues, contributing to a collaborative and high-performing team environment.
View full posting on CareerOneStop → ID: 908b1f0a373d
Medicaid Business Intelligence Engineer
Humana · Olympia, WA
Mid-level Master's
2026-05-29
Requirements
  • 2+ years of experience in Python and Pandas Python library.
  • 2+ years of experience in Jupyter Notebook environment.
  • 2+ years of experience in Databricks Platform.
  • 2+ years of experience in Microsoft PowerBI or other data visualization software.
  • 2+ years of experience working with Big Data and performing root cause analysis.
  • 2+ years of experience in business ownership of data processes.
  • In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
Preferred
  • Experience in Managed Care.
  • Experience in Medicaid.
  • Experience in risk adjustment.
  • Experience with data mining and predictive modeling techniques.
  • Ability to use data to drive business outcomes and decisions.
  • Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
View full posting on CareerOneStop → ID: badcf1f31939
Business Intelligence Engineer
Humana · Salem, OR
Mid-level
2026-05-29
Requirements
  • 3+ years of data analysis experience
  • 3+ years advanced experience developing complex SQL queries
  • Advanced knowledge of Excel (ex. Pivot tables, VLOOKUP's, formatting, etc.)
  • Expertise in assessing complex data sets and performing root cause analysis
  • Experience with Azure, Data Bricks, SQL, and business intelligence tools.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to interpret business requirements for provider operations and translate them into technical solutions.
Preferred
  • Experience with Humana systems, specifically Service Fund
  • Experience creating analytics solutions for various healthcare sectors/understanding healthcare related data
  • Experience with tools such as Power BI for creating data visualizations
  • Expertise in data mining
  • Experience with database and/or data system migrations
  • Experience with SQL Servers, Data Bricks, Cloud, Power Platform
  • Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Responsibilities
  • Utilizes technical skills to drive process improvement
  • Conducts data research and/or data processing trouble shooting
  • Assists in producing data ad hoc requests using Excel, PowerPoint, Power BI/Power Platform, and other various analytical tools
  • Supports the Senior Business Intelligence Engineers on the Service Fund team
  • Develops data reporting tools and reporting automation
  • Develop and optimize ETL pipelines using UDAP to consolidate data from multiple sources, ensuring data integrity for Service Fund and provider operations
  • Develop and maintain User Testing acceptance data models that optimize data quality using SQL, Python and/or Data Bricks
  • *Collaboration & Continuous Improvement:
  • Can independently work with cross-functional teams-including business operations, IT, and provider relations-to streamline data processes
  • Support requirements gathering and define Business Use Case user stories as part of system reporting enhancements needs
  • *The ideal applicant will possess the following skills:
  • Industry Knowledge
  • Business Acumen
  • Engaging Presentations
  • Decision Making
  • Project Management
  • Business Analytics
  • Analytical Thinking
  • Problem Solving
  • Emerging Technologies
  • *Use your skills to make an impact
View full posting on CareerOneStop → ID: 375f4b9ef714
Data Analyst
Cognizant · Salem, OR
Mid-level Bachelor's
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
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
Medicaid Business Intelligence Engineer
Humana · Salem, OR
Mid-level Master's
2026-05-29
Requirements
  • 2+ years of experience in Python and Pandas Python library.
  • 2+ years of experience in Jupyter Notebook environment.
  • 2+ years of experience in Databricks Platform.
  • 2+ years of experience in Microsoft PowerBI or other data visualization software.
  • 2+ years of experience working with Big Data and performing root cause analysis.
  • 2+ years of experience in business ownership of data processes.
  • In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
Preferred
  • Experience in Managed Care.
  • Experience in Medicaid.
  • Experience in risk adjustment.
  • Experience with data mining and predictive modeling techniques.
  • Ability to use data to drive business outcomes and decisions.
  • Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
View full posting on CareerOneStop → ID: b9c9c9702a10
Business Intelligence Engineer
Humana · Helena, MT
Mid-level
2026-05-29
Requirements
  • 3+ years of data analysis experience
  • 3+ years advanced experience developing complex SQL queries
  • Advanced knowledge of Excel (ex. Pivot tables, VLOOKUP's, formatting, etc.)
  • Expertise in assessing complex data sets and performing root cause analysis
  • Experience with Azure, Data Bricks, SQL, and business intelligence tools.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to interpret business requirements for provider operations and translate them into technical solutions.
Preferred
  • Experience with Humana systems, specifically Service Fund
  • Experience creating analytics solutions for various healthcare sectors/understanding healthcare related data
  • Experience with tools such as Power BI for creating data visualizations
  • Expertise in data mining
  • Experience with database and/or data system migrations
  • Experience with SQL Servers, Data Bricks, Cloud, Power Platform
  • Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Responsibilities
  • Utilizes technical skills to drive process improvement
  • Conducts data research and/or data processing trouble shooting
  • Assists in producing data ad hoc requests using Excel, PowerPoint, Power BI/Power Platform, and other various analytical tools
  • Supports the Senior Business Intelligence Engineers on the Service Fund team
  • Develops data reporting tools and reporting automation
  • Develop and optimize ETL pipelines using UDAP to consolidate data from multiple sources, ensuring data integrity for Service Fund and provider operations
  • Develop and maintain User Testing acceptance data models that optimize data quality using SQL, Python and/or Data Bricks
  • *Collaboration & Continuous Improvement:
  • Can independently work with cross-functional teams-including business operations, IT, and provider relations-to streamline data processes
  • Support requirements gathering and define Business Use Case user stories as part of system reporting enhancements needs
  • *The ideal applicant will possess the following skills:
  • Industry Knowledge
  • Business Acumen
  • Engaging Presentations
  • Decision Making
  • Project Management
  • Business Analytics
  • Analytical Thinking
  • Problem Solving
  • Emerging Technologies
  • *Use your skills to make an impact
View full posting on CareerOneStop → ID: 0a6ffa21ccff
Data Analyst
Cognizant · Helena, MT
Mid-level Bachelor's
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
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
Medicaid Business Intelligence Engineer
Humana · Helena, MT
Mid-level Master's
2026-05-29
Requirements
  • 2+ years of experience in Python and Pandas Python library.
  • 2+ years of experience in Jupyter Notebook environment.
  • 2+ years of experience in Databricks Platform.
  • 2+ years of experience in Microsoft PowerBI or other data visualization software.
  • 2+ years of experience working with Big Data and performing root cause analysis.
  • 2+ years of experience in business ownership of data processes.
  • In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
Preferred
  • Experience in Managed Care.
  • Experience in Medicaid.
  • Experience in risk adjustment.
  • Experience with data mining and predictive modeling techniques.
  • Ability to use data to drive business outcomes and decisions.
  • Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
View full posting on CareerOneStop → ID: 2cb643fed1be
Anti-Fraud Risk Data Analyst (Multiple Positions)
TT Commerce & Global Services LLC · Bellevue, WA
Mid-level Master's
2026-05-29
Requirements
  • Must have a Master's degree or foreign equivalent degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Business Analytics, Economics, Finance, Risk Management, or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Business Analytics, Economics, Finance, Risk Management, or a related quantitative field, and 3 years of related work experience.
  • Of the required experience, must have 1 year of experience in each of the following:
  • Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing;
  • Using SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including MySQL, Microsoft SQL Server, or PostgreSQL;
  • Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and
  • Building, tuning, and validating statistical models for regression and classification problems in Python or R.
  • Travel Requirement: Domestic and international travel required up to 10%.
  • Type: Full time, 40 hours/week
  • Location: Bellevue, WA
Responsibilities
  • Monitor, audit, and analyze potential fraudulent cases and consolidate anti-fraud rules.
  • Design processes and build effective workflows to define characteristics of different fraud types, capture new risk types, and collaborate with cross-functional teams to drive improvements of existing tools, processes, and models related to fraud management.
  • Understand the trends and intelligence of fraudulent activities in each local market and build intelligence monitoring systems to mitigate fraud.
  • Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented.
  • Research fraud-related policies and build effective enforcement processes to prevent and penalize bad actors while balancing user experiences.
  • Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.
View full posting on CareerOneStop → ID: 831bd1f828b0
Business Intel Engineer II - AMZ27162.1
Amazon Data Services, Inc. · Seattle, WA
Mid-level Master's
2026-05-29
Requirements
  • Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
  • The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
View full posting on CareerOneStop → ID: dcbb428d7427
Business Intel Engineer II - AMZ27162.1
Amazon Data Services, Inc. · Seattle, WA
Mid-level Master's
2026-05-29
Requirements
  • Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
  • The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
View full posting on CareerOneStop → ID: d1350248557a
Business Intel Engineer II - AMZ27162.1
Amazon Data Services, Inc. · Seattle, WA
Mid-level Master's
2026-05-29
Requirements
  • Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
  • The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
View full posting on CareerOneStop → ID: efc4c5bdf44f
Business Intelligence Analyst 1
Chegg Inc. · Malta, MT
Mid-level
2026-05-29

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

View full posting on CareerOneStop → ID: dfc24f186d55
Business Intelligence Engineer, Supply Chain Execution Team
Amazon · Bellevue, WA
Mid-level
2026-05-28
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Define and maintain analytical frameworks that translate operational knowledge into quantified target states across fulfillment network domains, working with supply chain partners to document what good performance looks like and how to measure distance from target
  • Build and support data pipelines and dashboards that evaluate whether plans are converging toward target states, including automated reporting on plan deviations, constraint violations, and execution misses with root-cause attribution
  • Audit upstream data inputs that feed the planning chain-including transit time configurations, forecast accuracy, inventory health, and capacity assumptions-to ensure the analytical foundation remains reliable
  • Partner with supply chain optimization and operations teams to surface where system outcomes diverge from network-level goals, quantify the impact, and support investigation into root causes
  • Contribute to evolving our measurement systems as the network changes, updating target-state definitions and detection methodologies to stay relevant as new fulfillment centers open and operational patterns shift
  • You'll focus on strengthening the analytical definitions and measurement systems that guide our fulfillment network's planning and execution. Your day might include collaborating with supply chain planners to refine how we measure network balance across regions, validating the data inputs that feed our planning systems, or investigating why a weekly plan deviated from reality and documenting the root cause for the team to learn from.
  • You'll work across multiple domains-from demand forecasting accuracy to inventory positioning to transfer effectiveness-each requiring you to translate operational complexity into clear, measurable definitions. You'll partner with our supply chain optimization team to understand how their systems perform at the network level, then surface where outcomes could improve. You'll also support our operations teams by ensuring they have the dashboards and reports they need to make decisions at their level of detail.
  • Beyond routine responsibilities, you'll contribute to evolving how we think about planning. As the network changes-new fulfillment centers open, regionalization shifts, seasonal patterns evolve-you'll help us update our target-state definitions so our metrics stay relevant. You'll participate in designing new measurement frameworks that move us from understanding what happened to predicting what will happen next.
View full posting on CareerOneStop → ID: d87e4d44ca92
Business Intelligence Engineer, WWGS Retail BI
Amazon · Seattle, WA
Mid-level Master's
2026-05-28
Requirements
  • Strong SQL and data modeling skills, experience with BI visualization tools (Tableau/QuickSight), ability to translate ambiguous business requirements into technical solutions, and excellent communication skills for both technical and non-technical audiences. You'll work independently with limited guidance while knowing when to collaborate and seek direction.
  • Ready to shape the future of grocery analytics? This role offers the unique opportunity to combine traditional BI excellence with emerging AI capabilities, positioning you at the forefront of how data teams serve business stakeholders.
  • Bachelor's degree in sciences, engineering, finance or equivalent
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Knowledge of SQL and data warehousing concepts
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Preferred
  • Master's degree in sciences, engineering, finance or equivalent
  • 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
  • 5+ years of retail, grocery, or customer-facing, or 2+ years of retail or operations experience
Responsibilities
  • Build scalable analytics infrastructure: Design and implement automated ETL pipelines, data models, and reporting solutions using AWS technologies (Redshift, Athena, QuickSight, S3) that transform raw data into actionable insights for marketing and customer lifecycle teams
  • Drive marketing measurement excellence: Own end-to-end attribution analysis, customer funnel instrumentation, and lifecycle segmentation frameworks that enable data-driven investment decisions across multi-million dollar marketing budgets
  • Develop AI-powered analytics solutions: Create conversational AI agents and automated insight generation tools that enable business stakeholders to self-serve complex analyses, reducing time-to-insight from days to minutes
  • Partner cross-functionally: Collaborate with Marketing, Product, Tech, and Data teams to translate ambiguous business requirements into technical solutions, establish unified measurement standards, and drive alignment on strategic initiatives
  • Deliver actionable insights: Conduct deep-dive analyses on customer behavior, campaign performance, and funnel optimization opportunities that directly inform business strategy and tactical execution
  • Ensure data quality and reliability: Implement monitoring, validation, and documentation practices that maintain trust in analytics outputs and enable confident decision-making
  • Mentor and influence: Share best practices, contribute to team technical standards, and elevate the analytical capabilities of both technical and non-technical stakeholders
  • You'll start most days reviewing overnight metrics-did marketing campaigns perform as expected? Any funnel drop-offs requiring investigation? You'll partner closely with Marketing PMs and Online Growth teams to translate their questions into analyses, often jumping into SQL to pull data or building QuickSight dashboards for self-service access.
  • Mid-morning might involve a working session with Tech teams to instrument new customer touchpoints or debug attribution gaps. Afternoons could mean presenting findings to leadership, prototyping an AI agent that answers common stakeholder questions, or collaborating with Data Engineering on pipeline improvements.
  • You'll balance planned projects (building attribution frameworks, lifecycle segmentation models) with urgent requests (explaining yesterday's order spike, validating experiment results). Some days you're deep in code; others you're whiteboarding measurement strategies with cross-functional partners. The variety keeps it interesting-you're never just pulling reports; you're solving puzzles that directly impact how Amazon invests millions in customer acquisition.
View full posting on CareerOneStop → ID: 93b9b29c1b38
Data Analyst
DISYS, LLC · Redmond, WA
Mid-level Bachelor's
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
Business Intelligence Report Developer
Humana · Olympia, WA
Mid-level Master's
2026-05-27

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

View full posting on CareerOneStop → ID: f28e3deee4aa
Business Intelligence Report Developer
Humana · Boise, ID
Mid-level Master's
2026-05-27

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

View full posting on CareerOneStop → ID: f463066e6700
Data Analyst-Technical-Consultant
Intermountain Health · Boise, ID
Mid-level Bachelor's
2026-05-27
Requirements
  • SQL & database design
  • Data visualization tools
  • Office applications proficiency
  • Communication skills
  • Health care data expertise
  • Lifelong learne
  • Individual & team success
  • Mastery of advanced SQL techniques and database optimization strategies.
  • Proficiency in advanced data visualization techniques using tools like Tableau and Power BI.
  • Advanced proficiency in office applications, including creating templates and macros.
  • Excellent verbal, written, and interpersonal communication skills, with experience presenting to senior leadership.
  • Extensive knowledge of healthcare data analytics and industry trends.
  • Proven experience leading cross-functional teams and driving collaborative projects.
  • Demonstrated ability to stay updated on industry trends and advancements.
  • Proven experience in providing mentorship and guidance to junior analysts.
  • Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data analytic projects to ensure alignment with business goals and efficient execution.
  • Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.
Preferred
  • Bachelor's degree in analytics related fields such as statistics, mathematics, information systems, computer science, finance, business management, or economics with six years of relevant work experience in a role performing data analysis.
  • Bachelor's degree in another area of study with eight years of relevant work experience in a role performing data analysis.
  • Experience without a related degree will be considered if skill set and experience are robust
Responsibilities
  • This role involves leading the development and deployment of data analytics at Intermountain Health. As a Data Analyst-Technical-Consultant, you will spearhead strategic initiatives, clinical standards, and operational goals through data insights. Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with business and clinical leaders across Intermountain Health. The team ensures data applications are maintained, monitored, promoted, and used effectively.
  • Provides expert support for management level leadership in a business or clinical area.
  • Develops a comprehensive understanding of customer data and business/clinical operations they support.
  • Fulfills high-level customer requests through data exploration, report development, and visual storytelling.
  • Independently provides project updates and communicates analytic findings to their customers.
  • Leads and mentors others in analytic work demonstrations and hands-on training for customers to promote understanding and independent consumption of analytic work.
  • Continuously enhances their technical skillset through individual learning and participation in Intermountain analytic community educational offerings, guided by their leader.
  • Stay updated on industry trends and advancements
  • Provide mentorship and guidance to junior analysts
View full posting on CareerOneStop → ID: f5e5799a5adf
Business Intelligence Report Developer
Humana · Salem, OR
Mid-level Master's
2026-05-27

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

View full posting on CareerOneStop → ID: c138cd0b4db2
Data Analyst-Technical-Consultant
Intermountain Health · Salem, OR
Mid-level Bachelor's
2026-05-27
Requirements
  • SQL & database design
  • Data visualization tools
  • Office applications proficiency
  • Communication skills
  • Health care data expertise
  • Lifelong learne
  • Individual & team success
  • Mastery of advanced SQL techniques and database optimization strategies.
  • Proficiency in advanced data visualization techniques using tools like Tableau and Power BI.
  • Advanced proficiency in office applications, including creating templates and macros.
  • Excellent verbal, written, and interpersonal communication skills, with experience presenting to senior leadership.
  • Extensive knowledge of healthcare data analytics and industry trends.
  • Proven experience leading cross-functional teams and driving collaborative projects.
  • Demonstrated ability to stay updated on industry trends and advancements.
  • Proven experience in providing mentorship and guidance to junior analysts.
  • Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data analytic projects to ensure alignment with business goals and efficient execution.
  • Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.
Preferred
  • Bachelor's degree in analytics related fields such as statistics, mathematics, information systems, computer science, finance, business management, or economics with six years of relevant work experience in a role performing data analysis.
  • Bachelor's degree in another area of study with eight years of relevant work experience in a role performing data analysis.
  • Experience without a related degree will be considered if skill set and experience are robust
Responsibilities
  • This role involves leading the development and deployment of data analytics at Intermountain Health. As a Data Analyst-Technical-Consultant, you will spearhead strategic initiatives, clinical standards, and operational goals through data insights. Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with business and clinical leaders across Intermountain Health. The team ensures data applications are maintained, monitored, promoted, and used effectively.
  • Provides expert support for management level leadership in a business or clinical area.
  • Develops a comprehensive understanding of customer data and business/clinical operations they support.
  • Fulfills high-level customer requests through data exploration, report development, and visual storytelling.
  • Independently provides project updates and communicates analytic findings to their customers.
  • Leads and mentors others in analytic work demonstrations and hands-on training for customers to promote understanding and independent consumption of analytic work.
  • Continuously enhances their technical skillset through individual learning and participation in Intermountain analytic community educational offerings, guided by their leader.
  • Stay updated on industry trends and advancements
  • Provide mentorship and guidance to junior analysts
View full posting on CareerOneStop → ID: 544403506947
Business Intelligence Report Developer
Humana · Helena, MT
Mid-level Master's
2026-05-27

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

View full posting on CareerOneStop → ID: 11b7695a7d08
Data Analyst-Technical-Consultant
Intermountain Health · Helena, MT
Mid-level Bachelor's
2026-05-27
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
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 Engineer , Amazon Customer Service
Amazon · Seattle, WA
Mid-level
2026-05-25
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Experience in the data/BI space
Responsibilities
  • Design, build, and maintain scalable data pipelines and ETL processes that integrate data across multiple customer journey touchpoints - including delivery, returns, refunds, and pre-order systems
  • Develop and operationalize standardized KPIs (e.g., Perfect Delivery Rate, Click-to-Deliver, Promotional Error Rate) across customer journeys, ensuring consistent measurement and trusted reporting for business reviews
  • Build and enhance executive dashboards (Page 0, xBR) and self-service analytical tools that provide real-time visibility into customer experience metrics for leadership and journey pod teams
  • Contribute to AI and LLM-powered analytics solutions, including automated insight generation and natural language interfaces for data exploration
  • Partner with product managers, data engineers, and scientists across five CXI pillars to translate business questions into analytical frameworks and deliver actionable insights
  • Support experimentation measurement by contributing to standardized Weblab impact frameworks, including instrumentation, statistical analysis, and reporting
  • Participate in building and extending the central data model - consolidating disparate data sources into a unified, governed layer that eliminates redundancy and ensures data integrity
  • As a Business Intelligence Engineer on the CXIDA team, start your morning reviewing the health of data pipelines that power our KPI Hub, then shift focus to summarize return defect for a Business Review. After lunch, you could be prototyping an LLM-driven deep dive that helps journey teams identify root causes of contact spikes without filing manual data requests. You'll end the day collaborating with teammates for next iteration of our central data model.
View full posting on CareerOneStop → ID: b1a0415431b3
Business Intelligence Analyst
UTAH STATE UNIVERSITY · Logan, UT
Mid-level Bachelor's
2026-05-25
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
Business Intelligence Analyst
Renaissance · Seattle, WA
Mid-level Bachelor's
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
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
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
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
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
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
Requirements
  • SQL & database design
  • Data visualization tools
  • Office applications proficiency
  • Communication skills
  • Health care data expertise
  • Lifelong learne
  • Individual & team success
  • Mastery of advanced SQL techniques and database optimization strategies.
  • Proficiency in advanced data visualization techniques using tools like Tableau and Power BI.
  • Advanced proficiency in office applications, including creating templates and macros.
  • Excellent verbal, written, and interpersonal communication skills, with experience presenting to senior leadership.
  • Extensive knowledge of healthcare data analytics and industry trends.
  • Proven experience leading cross-functional teams and driving collaborative projects.
  • Demonstrated ability to stay updated on industry trends and advancements.
  • Proven experience in providing mentorship and guidance to junior analysts.
  • Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data analytic projects to ensure alignment with business goals and efficient execution.
  • Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.
Preferred
  • Bachelor's degree in analytics related fields such as statistics, mathematics, information systems, computer science, finance, business management, or economics with six years of relevant work experience in a role performing data analysis.
  • Bachelor's degree in another area of study with eight years of relevant work experience in a role performing data analysis.
  • Experience without a related degree will be considered if skill set and experience are robust
Responsibilities
  • This role involves leading the development and deployment of data analytics at Intermountain Health. As a Data Analyst-Technical-Consultant, you will spearhead strategic initiatives, clinical standards, and operational goals through data insights. Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with business and clinical leaders across Intermountain Health. The team ensures data applications are maintained, monitored, promoted, and used effectively.
  • Provides expert support for management level leadership in a business or clinical area.
  • Develops a comprehensive understanding of customer data and business/clinical operations they support.
  • Fulfills high-level customer requests through data exploration, report development, and visual storytelling.
  • Independently provides project updates and communicates analytic findings to their customers.
  • Leads and mentors others in analytic work demonstrations and hands-on training for customers to promote understanding and independent consumption of analytic work.
  • Continuously enhances their technical skillset through individual learning and participation in Intermountain analytic community educational offerings, guided by their leader.
  • Stay updated on industry trends and advancements
  • Provide mentorship and guidance to junior analysts
View full posting on CareerOneStop → ID: 94ab1d551d0c
Business Intelligence Analyst
Renaissance · Billings, MT
Mid-level
2026-05-22
View full posting on CareerOneStop → ID: 2593c45cf5d2
Business Intelligence Engineer II - 3034351
Apex Systems, Inc. · Bellevue, WA
Mid-level
2026-05-22
View full posting on CareerOneStop → ID: 2cd40ae3f0a8
Business Intelligence Engineer III - 3023360
Apex Systems, Inc. · Seattle, WA
Mid-level
2026-05-22
View full posting on CareerOneStop → ID: 003ba8054960
Data Analyst 3
Automation and Control Strategies Group, INC. dba ACS Professional Staffing · Vancouver, WA
Mid-level
2026-05-22
View full posting on CareerOneStop → ID: 500fc67f4506
Business Intelligence Analyst, Compute Operational Excellence
Google · Kirkland, WA
Mid-level
2026-05-21
View full posting on CareerOneStop → ID: 9ddc90926d7d
Business Intelligence Engineer II
Chewy Inc. · Bellevue, WA
Mid-level
2026-05-21
View full posting on CareerOneStop → ID: e989ad089bce
Business Intelligence Engineer II
Chewy Inc. · Bellevue, WA
Mid-level
2026-05-21
View full posting on CareerOneStop → ID: d7930e047aef
Business Intelligence Engineer, FIO Analytics
Amazon · Bellevue, WA
Mid-level
2026-05-21
View full posting on CareerOneStop → ID: 68f21c32507f
Business Intelligence Engineer
CenterWell · Olympia, WA
Mid-level
2026-05-21
View full posting on CareerOneStop → ID: 81855b97675c
Business Intelligence Engineer
CenterWell · Boise, ID
Mid-level
2026-05-21
View full posting on CareerOneStop → ID: 6dc3c3e9ac43
Business Intelligence Engineer
CenterWell · Helena, MT
Mid-level
2026-05-21
View full posting on CareerOneStop → ID: 935dc3d2dbbd
Business Intelligence Engineer
CenterWell · Salem, OR
Mid-level
2026-05-21
View full posting on CareerOneStop → ID: 03f948a74c09
Business Intelligence Engineer, Prime Video Partner Experience & Supply Chain
Amazon · Seattle, WA
Mid-level
2026-05-21
View full posting on CareerOneStop → ID: fa4d092e2905
Advanced Technologist (Data Analytics)
The Boeing Company · Seattle, WA
Mid-level
2026-05-20
Requirements
  • 3+ years of experience developing software products in a cloud environment
  • Collaborating on international and multinational projects.
  • This is not an Export Control position.
Preferred
  • 3+ experience in building large-scale web applications using React, Angular or Vue.
  • Demonstrated design and system thinking skills.
  • 3+ years' experience in at least one programming language like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, Node.js and Go, Open-Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and tools such as Github (AWS tools and services is a plus).
Responsibilities
  • At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
  • Boeing Defense, Space and Security (BDS) is seeking a Senior Full Stack Software Developer to support our dynamic team! In this position, you will develop and maintain software products for the next generation. This position will be in one of these locations. Seattle, WA, Arlington, VA, Huntsville, AL, Mesa, AZ, Ridley Park, PA or St Louis, MO.
  • In this role, you will be developing a full-stack application to support manufacturing operations and facilitate factory floor workers.
  • Manufacturing Application Suite enables production teams to manage work statements, optimize labor charging, and proactively address non-conformances. This leads to improved shop floor execution, enhanced performance visibility, and data-driven decision-making. Additionally, these applications empower supporting functions such as production engineering by providing necessary data and insights to optimize processes, identify bottlenecks, and drive continuous improvement initiatives. Ultimately, the Application Suite enables teams to meet production targets, improve quality, and foster a culture of ongoing improvement.
  • Participates in all aspects of agile software development, including design, implementation, and deployment.
  • Works across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth.
  • Develops new features and infrastructure in support of rapidly emerging business and project requirements.
  • Assumes leadership of new projects, from conceptualization to deployment
  • Ensures application performance, uptime, and scale, and maintain high standards for code quality and application design.
  • Architects and provides guidance on building end-to-end systems optimized for speed and scale.
  • Engages with designers and front-end engineers and collaborate with leading back-end engineers to create reliable APIs.
  • Collaborates across time zones via Teams, Mattermost, GitHub, documents, and frequent videoconferences.
  • Influences, innovates, and continuously improves the software engineering process as well as quality, safety and reliability of products and services provided by Boeing.
  • Collaborates proactively with customers, stakeholders, peers and direct reports to understand operational and performance expectations.
  • Cultivates a positive team culture, team motivation
  • remediation of complex technical data issues in a regulated/defense environment.
  • This position is hybrid. This means that the selected candidate will be required to work 2 days a week onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future
  • This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship.
View full posting on CareerOneStop → ID: b852c6db52f1
Data Analyst
Cardinal Health · Olympia, WA
Mid-level Bachelor's
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
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
Requirements
  • BA, BS or equivalent experience in related field. Advance Degree preferred
  • 4-8 years experience preferred
  • Client facing experience preferred
  • Advance Excel (including Macros)
  • Intermediate to Advance SQL
  • Intermediate to Advance Tableau
  • Patient/Hub Service, Rare Disease Patient Analytics, Provider Analytics
  • Call Center Data
  • Data feeds (Data Aggregators)
  • Experience with Databricks is a plus
  • *What is expected of you and others at this level
  • May contribute to the development of policies and procedures
  • Works on complex projects of large scope
  • Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
  • Completes work independently receives general guidance on new projects
  • Work reviewed for purpose of meeting objectives
  • May act as a mentor to less experienced colleagues
  • *TRAINING AND WORK SCHEDULES: Your new hire training will take place 8:00am-5:00pm CST, mandatory attendance is required.
  • This position is full-time (40 hours/week). Employees are required to have flexibility to work any of our shift schedules during our normal business hours of Monday-Friday, 7:00am- 7:00pm CST.
  • *REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private, distraction free environment with access to high-speed internet. We will provide you with the computer, technology and equipment needed to successfully perform your job. You will be responsible for providing high-speed internet. Internet requirements include the following:
  • Maintain a secure, high-speed, broadband internet connection (DSL, Cable, or Fiber) at the remote location. Dial-up, satellite, WIFI, Cellular connections are NOT acceptable.
  • Download speed of 15Mbps (megabyte per second)
  • Upload speed of 5Mbps (megabyte per second)
  • Ping Rate Maximum of 30ms (milliseconds)
  • Hardwired to the route
  • Surge protector with Network Line Protection for CAH issued equipment
  • *Anticipated hourly range: $80,900 - $115,500
Preferred
  • *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
Responsibilities
  • Works with the business team to understand business rules, data flow and appropriately create reporting and analytics for the program.
  • Works with complex datasets to perform exploratory data analysis to provide insights to make business decisions.
  • This role combines consultative and technology focus to Data Analytics.
  • The individual should be skilled in bridging gap between technology and operations.
  • We require a motivated person who is interested in performing exploratory data analysis with complex datasets with minimal direction.
  • Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
View full posting on CareerOneStop → ID: dfc9f374393e
Financial Data Analyst
TEKsystems · Boise, ID
Mid-level
2026-05-20
Requirements
  • A self-motivated professional who can work independently and collaboratively
  • Strong attention to detail with a focus on accuracy
  • A business-minded analyst who can turn data into actionable insights
  • Someone who thrives in a fast-paced, data-driven environment
  • Tools & Technologies
  • Excel (Advanced)
  • SQL / Snowflake
  • Tableau / Power BI
  • Oracle ERP systems
  • Essbase (preferred)
Responsibilities
  • We are seeking a highly analytical and business-focused Financial Data Analyst III to support Supply Chain Finance and Distribution operations. In this role, you will provide financial guidance, deliver actionable insights, and partner closely with leadership to improve operational efficiency and performance.
  • You will play a key role in analyzing complex financial data, identifying trends and variances, and supporting both strategic initiatives and day-to-day reporting.
  • Analyze large financial datasets to identify trends, risks, and opportunities
  • Develop financial models, dashboards, and reporting tools to support decision-making
  • Partner with Supply Chain leadership to improve operational and financial performance
  • Perform variance analysis and deliver insights to stakeholders at all levels
  • Support forecasting, budgeting, and ad hoc financial analysis
  • Create data-driven recommendations for productivity and efficiency improvements
  • Present findings clearly through reporting, storytelling, and visualization tools
  • ? Required Qualifications
  • Minimum 4+ years of experience in:
  • Financial analysis
  • Financial modeling
  • Accounting, finance, or related fields
  • Strong ability to analyze and interpret large datasets
  • Advanced proficiency in Microsoft Excel
  • Experience with:
  • SQL, Snowflake, or similar data platforms
  • Tableau, Power BI, or other BI tools
  • Oracle or similar ERP systems
  • Proven problem-solving skills using structured analytical methods
  • Strong written and verbal communication skills
  • ? Preferred Qualifications
  • Experience in Retail or Consumer Packaged Goods (CPG) industries
  • Experience with Essbase or similar financial planning tools
  • Familiarity with syndicated data sources (e.g., Nielsen, IRI)
  • Strong presentation and storytelling capabilities
  • Ability to communicate technical insights to non-technical stakeholders
  • Data analysis & financial modeling
  • SQL and reporting tools
  • Business intelligence (Tableau / Power BI)
  • Financial forecasting & variance analysis
  • Cross-functional collaboration
  • Executive-level communication
  • What Makes This Opportunity Stand Out
  • Strategic, high-impact role partnering with supply chain leadership
  • Opportunity to influence operational and financial decision-making
  • Exposure to large-scale data environments and enterprise tools
  • Collaborative environment with visibility across multiple functions
  • Strong opportunity for career growth and advancement
View full posting on CareerOneStop → ID: 79fd957e35a4
Financial Data Analyst
TEKsystems · Boise, ID
Mid-level
2026-05-20
Requirements
  • Strong experience in financial reporting, data analysis, and performance analysis
  • Advanced financial modeling and analytical capabilities
  • Solid understanding of finance and accounting principles
  • Experience working with large datasets and building reporting solutions
  • Proficiency in SQL for data extraction and analysis
  • Strong communication skills with the ability to influence stakeholders
  • Expert-level experience in financial analysis, FP&A, or a related field
Preferred
  • Experience supporting supply chain or distribution organizations
  • Experience with reporting tools and dashboard development (e.g., Power BI, Tableau, Excel)
  • Ability to work independently and in fast-paced, dynamic environments
Responsibilities
  • The Financial Data Analyst III - Supply Chain FP&A provides financial guidance, analytical support, and actionable insights to the Distribution organization. This role partners closely with Supply Chain leadership to evaluate performance, identify trends and variances, and drive productivity and operational efficiency initiatives. The analyst will develop financial models, reporting, and dashboards while serving as a key finance business partner to both corporate and field distribution teams.
  • Analyze financial and operational performance across supply chain and distribution functions, identifying trends, variances, and opportunities for improvement
  • Develop and maintain financial models, forecasts, and reporting tools to support decision-making
  • Create dashboards and reports to track KPIs, operational metrics, and financial results
  • Partner with cross-functional leaders to provide insights that improve efficiency and cost optimization
  • Support monthly, quarterly, and annual financial reporting processes
  • Conduct ad hoc analysis and present findings to leadership at all levels
  • Translate complex data into clear, actionable business recommendations
View full posting on CareerOneStop → ID: 17d256643b05
Data Analyst
Cardinal Health · Salem, OR
Mid-level Bachelor's
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
Data Analyst
Cardinal Health · Helena, MT
Mid-level
2026-05-20
View full posting on CareerOneStop → ID: aaac8b2ef96a
Business Intelligence Engineer, Amazon Kids+
Amazon · Seattle, WA
Mid-level Master's
2026-05-19
Requirements
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)
  • Working knowledge of Generative AI (LLMs, agentic AI, context engineering) and its application to data analytics, automation, or BI tooling
Preferred
  • Master's degree, or Advanced technical degree
  • Demonstrated experience building agentic AI workflows (e.g., multi-step automation, LLM-augmented pipelines) for data modeling, metric generation, or analytical reporting
Responsibilities
  • Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards that provide insights into subscriber behavior, engagement patterns, and content performance
  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting around key subscription metrics including acquisition, retention, and engagement
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for stakeholders across Product, Content, Marketing, and Leadership teams
  • Use analytical and statistical rigor to identify performance gaps and opportunities for optimization across the subscriber lifecycle
View full posting on CareerOneStop → ID: 3ec34eb78602
Business Intelligence Engineer, Amazon Kids+
Amazon · Seattle, WA
Mid-level Master's
2026-05-19
Requirements
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)
  • Working knowledge of Generative AI (LLMs, agentic AI, context engineering) and its application to data analytics, automation, or BI tooling
Preferred
  • Master's degree, or Advanced technical degree
  • Demonstrated experience building agentic AI workflows (e.g., multi-step automation, LLM-augmented pipelines) for data modeling, metric generation, or analytical reporting
Responsibilities
  • Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards that provide insights into subscriber behavior, engagement patterns, and content performance
  • Develop queries and visualizations for standardized reporting around key subscription metrics including acquisition, retention, and engagement
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for stakeholders across Product, Content, Marketing, and Leadership teams
  • Use analytical and statistical rigor to identify performance gaps and opportunities for optimization across the subscriber lifecycle
View full posting on CareerOneStop → ID: 20176cb41d6e
Data Analyst 3
Automation and Control Strategies Group, INC. dba ACS Professional Staffing · Vancouver, WA
Mid-level
2026-05-19
Responsibilities
  • Provide data analysis for quality assurance testing efforts related to Settlements data.
  • Provide data analysis to support settlements daily, weekly, and monthly calculations.
  • Document data flow diagrams, entity relationship diagrams, and other project deliverables.
  • Provide PL/SQL databases (queries, functions, stored procedures)
  • Produce excel macros using VBA coding
  • Coordinate with assigned departments and other organizational partners including consultants.
  • Develop and maintain an understanding of higher-level activities of wholesale electric transmission customers in the western states as context for the goals of market, consumer, and business analysis.
View full posting on CareerOneStop → ID: edfb907d7828
Research Data Analyst (Remote)
Insight Global · Portland, OR
Mid-level
2026-05-19
Requirements
  • Certifications: Epic Clarity, Caboodle, Cogito
  • 2+ years' in cancer research (specifically Oncology)
  • Expert knowledge of Cancer data in Epic EHR
  • Expert knowledge of Epic Clarity and Caboodle data models
  • Knowledge of HIPAA and HSR regulation
  • Knowledge of electronic data capture (EDC), data ware housing, data quality, and NAACCR cancer reporting (North American Association of Central Cancer Registries)
  • Expertise with SQL and T-SQL Previous Academic medical facility experience
Responsibilities
  • Serve as a key contact for Cancer Institute scientists seeking EHR data and support for research purposes. Serve as subject matter expert on cancer EHR data. Lead project intakes, gather requirements and advise study designers on technical and regulatory matters. Generate data extracts and data models for IRB approved cancer research. Design and architect complex data marts for research repositories, longitudinal studies and precision medicine initiatives. Direct data engineers on research data and infrastructure requirements. Collaborate with data engineers to provide research infrastructure, and investigators to write grants, reports, and scientific publications.
View full posting on CareerOneStop → ID: ada5c4ba85bf
Data Analyst
TEKsystems · Remote, OR
Mid-level
2026-05-17
Responsibilities
  • Maintain and monitor the technical infrastructure for HIE and SAS platforms, ensuring high availability and performance
  • Ensure stability and performance of data exchange systems and applications
  • Manage change orders, system updates, and bug fixes for clinical portal and other data exchange services
  • Coordinate with internal teams and vendors for testing and deployments of changes.
  • Support technical analysis efforts, bringing detailed knowledge of EHR systems and data integration methodologies
  • Work closely with cross-functional teams including participants, EHR vendors, data architects, developers, analysts, and clinical stakeholders to ensure data quality and system reliability
  • Sql, Data, Data analysis, SAS
  • Top Skills Details
  • Sql,Data,Data analysis,SAS
View full posting on CareerOneStop → ID: 200a2195d8d9
Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO
Amazon · Bellevue, WA
Mid-level
2026-05-17
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Own the data architecture and reporting infrastructure for UPB, DDF, and CPP forecasting inputs across US and international marketplaces
  • Build and maintain automated pipelines that produce weekly forecast bridges, variance decompositions, and accuracy tracking consumed by leadership (WBR, QBR, OP cycles)
  • Develop AI-assisted analytical workflows that automate recurring analyses, anomaly detection, and root-cause investigation across large-scale forecasting datasets
  • Partner with research scientists and economists to validate model outputs, backtest forecast accuracy, and translate model improvements into business impact ($M attribution)
  • Design and build self-service dashboards and data products that enable product managers and scientists to independently explore forecast performance without ad-hoc requests
  • Mine and integrate data across simulation results, log files, fulfillment systems, and transportation datasets to identify trends, quantify risks, and support planning decisions
  • Drive data quality improvement projects - defining data contracts, monitoring freshness/completeness, and building alerting systems that surface issues before they reach downstream consumers
  • Collaborate with software development teams to implement analytics systems and data structures that support ML model delivery and large-scale experimentation
  • Your morning starts with an automated variance report your pipeline generated overnight - Units per box (UPB) missed plan, and the system already attributed the gap to a drop in inventory availability. You add context and push the summary to leadership before 10am. Mid-day, you're building backtesting infrastructure for a scientist's new model, then pairing with a partner team to root-cause an unexpected data drift. In the afternoon, you're developing an AI agent that automates a recurring weekly report - retrieving data, computing breakdowns, and drafting the narrative with human review before publishing. You end the day reviewing a teammate's code change that adds a new marketplace to a forecasting pipeline. The thread across it all: building systems that make the team faster and the forecasts more reliable.
  • Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
  • The benefits that generally apply to regular, full-time employees include:
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
  • At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
View full posting on CareerOneStop → ID: c46465b8986b
ESG Data Analyst
T-Mobile USA, Inc · Bellevue, WA
Mid-level Bachelor's
2026-05-17
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
Requirements
  • Considerable knowledge of:
  • Data analytics and data management
  • Typically gained by completing a bachelor's degree in data analytics and data management or a closely related field and one year of relevant experience, OR four to five years of high-level in nature experience directly related to data analytics and data management.
  • Good knowledge of:
  • Programming and query languages related to the governance and analysis of data
  • Typically gained by completing two to four upper division courses or trainings in programming and query languages related to the governance and analysis of data, AND two to four years of mid-level experience using programming and query languages related to the governance and analysis of data.
  • Data architecture and governance theories
  • Typically gained by completing two to four upper division courses or trainings in data architecture and governance theories, AND two to four years of mid-level experience closely related to data architecture and governance theories.
  • Data cleansing and governance
  • Typically gained by completing two to four upper division coursework or trainings in data cleansing and governance, AND two to four years of mid-level experience closely related to data cleansing and governance.
  • Data dictionaries and metadata; data visualization.
  • Typically gained by at least two years of experience working with data dictionaries, metadata, and data visualization.
Preferred
  • Strong Python and SQL scripting skills
  • Experience developing system integrations and building automated data pipelines and ETL /ELT processes
  • Ability to establish secure, resilient connections to RESTful and other enterprise APIs for platforms such as SharePoint, Mimecast, ServiceNow, and Google Analytics.
  • Experience with Snowflake administration, including RBAC, network policies, SSO, optimizing storage, and general data warehouse operations
  • Experience creating data visualizations using custom development and out-of-the-box tools such as Tableau and Power BI
  • Experience in data analytics and statistics using Python and/or R modules
  • Experience in database design, data management and data governance
  • Excellent communication skills, a willingness to help others and ability to work effectively in a cross-functional team environment.
  • Applications will be accepted through 11:59 PM MST on the posting end date.
  • The State of Idaho offers a robust total compensation package, including medical, vision, and dental insurance; PERSI retirement benefits; paid sick, vacation, and parental leave; and 11 paid holidays per year. For additional information related to benefits and/or state programs, please visit https://dhr.idaho.gov/StateEmployees/Benefits.html.
  • EEO/ADA/Veteran:
Responsibilities
  • Work with other members of the Data Team to engage with state employees to conduct an inventory of existing data, data needs, data quality, and business cases tied to data for ITS and the State of Idaho.
  • Participate in refining, implementing and automating data strategies, including master database design, improving data quality, data governance and data management.
  • Write SQL scripts to build databases, schemas, tables and workflows in Snowflake Data warehouse.
  • Build Streamlit apps using Python within the Snowflake environment.
  • Write Python scripts to connect to various databases and APIs and automate data loads from various sources into Snowflake .
  • Support ETL (Extract, Transform, Load) processes using SQL and Python as well as ETL tools in Tableau.
  • Analyze data and develop reports, info-graphs and dashboards to visualize data for decision making, monitoring and communication. Create visualizations using Tableau and PowerBI, and complete custom web development using JavaScript.
  • Assist and educate other members of the Data Team with development and workflow automation using Python and JavaScript.
  • Administer Tableau and Snowflake cloud environments, implementing security protocols, and user support. Monitor and maintain daily scheduled jobs and tasks for successful data loads and completions.
View full posting on CareerOneStop → ID: 07684803a946
Data Analyst, Data & Analytics - Med USMPD
Cardinal Health · Boise, ID
Mid-level Master's
2026-05-16
Requirements
  • Bachelors' Degree in related field, or equivalent work experience
  • 5+ years of experience in Data Analytics field preferred
  • Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
  • Experience with relational databases (Oracle, SQL Server preferred)
  • Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
  • Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
  • Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
  • Ability to identify and troubleshoot critical issues
  • Strong presentation skills preferred
  • Develops clear and well-structured analytical plans and analyzes large datasets
  • Helps business by interpreting data to assess and compare performance
  • Experience with business-critical applications
  • Experience translating vague requests into concrete deliverables
  • Experience with migrating legacy systems to modern cloud-based analytical solutions
  • Ability to adapt to fast changing environments
  • Experience with complex data environments and leveraging disparate data sources, including 3rd party data
Preferred
  • *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
Responsibilities
  • AWS/Google Cloud platform experience
  • Agile implementation experience
  • Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
  • Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
  • Experience working with SAP systems
  • Experience with Python and/or R
  • Understanding of Project management lifecycle
  • *What is expected of you and others at this level
  • Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
  • May contribute to the development of policies and procedures
  • Works on complex projects of large scope
  • Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
  • Completes work independently receives general guidance on new projects
  • Work reviewed for purpose of meeting objectives
  • May act as a mentor to less experienced colleagues
View full posting on CareerOneStop → ID: f6339e98da05
Data Analyst, Data & Analytics - Med USMPD
Cardinal Health · Salem, OR
Mid-level Master's
2026-05-16
Requirements
  • Bachelors' Degree in related field, or equivalent work experience
  • 5+ years of experience in Data Analytics field preferred
  • Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
  • Experience with relational databases (Oracle, SQL Server preferred)
  • Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
  • Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
  • Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
  • Ability to identify and troubleshoot critical issues
  • Strong presentation skills preferred
  • Develops clear and well-structured analytical plans and analyzes large datasets
  • Helps business by interpreting data to assess and compare performance
  • Experience with business-critical applications
  • Experience translating vague requests into concrete deliverables
  • Experience with migrating legacy systems to modern cloud-based analytical solutions
  • Ability to adapt to fast changing environments
  • Experience with complex data environments and leveraging disparate data sources, including 3rd party data
Preferred
  • *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
Responsibilities
  • AWS/Google Cloud platform experience
  • Agile implementation experience
  • Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
  • Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
  • Experience working with SAP systems
  • Experience with Python and/or R
  • Understanding of Project management lifecycle
  • *What is expected of you and others at this level
  • Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
  • May contribute to the development of policies and procedures
  • Works on complex projects of large scope
  • Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
  • Completes work independently receives general guidance on new projects
  • Work reviewed for purpose of meeting objectives
  • May act as a mentor to less experienced colleagues
View full posting on CareerOneStop → ID: b573f361cfec
Business Data Analyst
Milliman, Inc · Seattle, WA
Mid-level Master's
2026-05-16
Requirements
  • Bachelor's degree in Business, Economics, Statistics, Data Science, or a related field. A Master's degree is a plus.
  • 2+ years of relevant experience
  • Proven experience as a Business Data Analyst or similar role.
  • Proficiency in data analysis tools and software, specifically Excel. SQL experience a plus.
  • Experience with data visualization tools, such as PowerBI, Tableau, or similar. Knowledge of Canva is a plus for creating engaging infographics.
  • Demonstrated ability to work in a fast-paced, dynamic environment and meet deadlines effectively.
  • Excellent problem-solving skills and attention to detail, accurately and thoroughly accomplishing assignments.
  • Effectively manages time with the ability to manage multiple projects simultaneously.
  • Demonstrates respectful interactions with colleagues at all levels in MedInsight.
  • Ability to maintain confidentiality of data and information.
  • *What makes this a great opportunity?
  • Join an innovat
Responsibilities
  • The Business Data Analyst will be responsible for analyzing and interpreting complex data sets to provide actionable insights that drive business management and improvement strategies. This role requires a strong analytical mindset, proficiency in statistical methods, and an ability to develop an understanding of business objectives to effectively translate data into findings. The ideal candidate will have experience with data visualization tools, a strong interest in learning and applying new skills to advance business data analysis, and a passion for turning data into meaningful business outcomes. This role will report to the Director of Operations Strategy on the Business team.
  • Collaborate with cross-functional teams to understand business needs and translate them into data reporting requirements.
  • Document data sources, data definitions, methodologies, and processes to ensure data integrity and facilitate knowledge sharing within the team.
  • Collect, clean, and analyze data from various sources to identify trends, patterns, and insights.
  • Develop and maintain dashboards, reports, and visualizations using tools such as PowerBI, Excel, or Canva.
  • Conduct data analyses and modeling to support business objectives and decision-making processes.
  • Ensure compliance with data governance standards and privacy regulations.
  • Prepare data visualizations and present findings through clear and concise reports, presentations, and infographics.
  • Perform regular data audits to ensure accuracy, consistency, and completeness of data, and work with cross-functional teams to address any discrepancies and resolve data issues identified.
  • Continuous learning to stay current with best practices, skills, and AI in data analysis and business intelligence.
View full posting on CareerOneStop → ID: 5f8231cd9aef
Business Intelligence Engineer, ADSP Product Operations & Analytics
Amazon · Seattle, WA
Mid-level Doctorate
2026-05-16
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 3+ years of developing automated reporting experience
  • 2+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Investigate complex business challenges by identifying root causes of delivery gaps and operational inefficiencies while uncovering opportunities to optimize outcomes and improve overall health of business operations
  • Design and build resilient business intelligence solutions using Redshift, Oracle, and NoSQL databases that maintain accuracy despite data quality variations across multiple platforms and systems
  • Develop sophisticated data models and ETL pipelines that process large-scale datasets to support rapid business growth and evolving organizational needs
  • Create optimized SQL queries and data transformation workflows that convert raw data into actionable dashboards tracking key performance indicators, budget metrics, and operational efficiency
  • Partner with operations teams, stakeholders, and product managers to gather requirements and present performance insights that improve business outcomes
  • Innovate new metrics and measurement frameworks that capture effectiveness of emerging initiatives and capabilities
  • Communicate complex analyses on business trends and operational dynamics to stakeholders through clear documentation and presentations
  • Collaborate across engineering, data science, and business teams to build centralized data tools
View full posting on CareerOneStop → ID: fa11d9a0d448
Business Intelligence Engineer, Amazon Shipping BI
Amazon · Bellevue, WA
Mid-level
2026-05-16
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Data Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility. Data Analysis: Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions. Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format. Stakeholder Collaboration: Work closely with stakeholders to understand their data needs, provide data-driven recommendations, and support strategic planning. Tool and Technology Utilization: Utilize and stay updated with the latest BI tools and technologies to enhance data analysis and reporting capabilities.
View full posting on CareerOneStop → ID: b34ea1671658
Business Intelligence Engineer-II, UTR BI Team
Amazon · Bellevue, WA
Mid-level Associate's
2026-05-16
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Expertise in SQL for data modeling, and architecture design. Industry experience of 7+ is required.
  • Proficiency in Python for data wrangling, EDA, and model evaluation. Industry experience of 5+ years is preferred.
  • Industry experience in building and evaluating regression, forecasting, and classification models is highly preferred.
  • Perform advanced statistical analysis to uncover trends, patterns, and actionable insights from large datasets. Knowledge of clustering techniques is preferred.
  • Create compelling data visualizations and dashboards to communicate insights effectively. Knowledge of AWS products such as Redshift, QuickSight, or similar experience with other cloud tech stack.
  • Collaborate with product, engineering, and business teams to translate ambiguous problems into tech requirements and build data-driven solutions.
  • Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.
View full posting on CareerOneStop → ID: d8580bb7471b
Data Analyst, Data & Analytics - Med USMPD
Cardinal Health · Olympia, WA
Mid-level Master's
2026-05-16
Requirements
  • Bachelors' Degree in related field, or equivalent work experience
  • 5+ years of experience in Data Analytics field preferred
  • Expert level experience with data visualization and using visual design principles to best communicate information (Tableau Desktop and Online experience preferred)
  • Experience with relational databases (Oracle, SQL Server preferred)
  • Expert level Experience with data exploration and mining tools (Alteryx experience preferred, Microsoft Excel)
  • Proficiency with AI-assisted development tools (i.e. GitHub Copilot, Claude Code) or demonstrated eagerness to adopt emerging AI technologies
  • Ability to identify business problems suited for AI automation and translate existing processes into agentic workflow solutions
  • Ability to identify and troubleshoot critical issues
  • Strong presentation skills preferred
  • Develops clear and well-structured analytical plans and analyzes large datasets
  • Helps business by interpreting data to assess and compare performance
  • Experience with business-critical applications
  • Experience translating vague requests into concrete deliverables
  • Experience with migrating legacy systems to modern cloud-based analytical solutions
  • Ability to adapt to fast changing environments
  • Experience with complex data environments and leveraging disparate data sources, including 3rd party data
Preferred
  • *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
Responsibilities
  • AWS/Google Cloud platform experience
  • Agile implementation experience
  • Understanding of database (SQL, Stored Proc), data ingestion, data warehouse, ETL etc.
  • Experience with AI-assisted development tools and orchestration platforms (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
  • Experience working with SAP systems
  • Experience with Python and/or R
  • Understanding of Project management lifecycle
  • *What is expected of you and others at this level
  • Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
  • May contribute to the development of policies and procedures
  • Works on complex projects of large scope
  • Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
  • Completes work independently receives general guidance on new projects
  • Work reviewed for purpose of meeting objectives
  • May act as a mentor to less experienced colleagues
View full posting on CareerOneStop → ID: 58e02476252e
Data Analyst, Data & Analytics - Med USMPD
Cardinal Health · Helena, MT
Mid-level
2026-05-16
View full posting on CareerOneStop → ID: 890bb10ef538
Business Intelligence Developer
Jacksons · Meridian, ID
Mid-level Bachelor's
2026-05-15

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

View full posting on CareerOneStop → ID: 6bb782ddadd5
Master Data Analyst
WM · Boise, ID
Mid-level
2026-05-15
View full posting on CareerOneStop → ID: dc3fc8a525fc
Master Data Analyst
WM · Salem, OR
Mid-level
2026-05-15
View full posting on CareerOneStop → ID: 1acdefd04ff4
Master Data Analyst
WM · Olympia, WA
Mid-level
2026-05-15
View full posting on CareerOneStop → ID: 99c02d788716
Data Analyst
Cardinal Health · Boise, ID
Mid-level Bachelor's
2026-05-14
Preferred
  • Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
View full posting on CareerOneStop → ID: 2d49076d8c08
Program Controls Data Analysis, Reporting & AI Analyst
Oracle · Boise, ID
Mid-level Associate's
2026-05-14
Requirements
  • -5-8 years of experience in data analysis, business analytics, reporting, data governance, operations analytics, or a related analytical role.
  • -Strong analytical and problem-solving skills, with the ability to work through ambiguity and turn complex data into practical business insights.
  • -Advanced Microsoft Excel skills, including experience with complex formulas, pivot tables, structured workbooks, data validation, lookups, Power Query, and large datasets.
  • -Working knowledge of database principles, including relational data structures, joins, keys, data quality, and data integrity concepts.
  • -Coding or scripting experience, such as SQL, Python, VBA, R, or similar tools used for data extraction, transformation, automation, or analysis.
  • -Experience building recurring reports, dashboards, scorecards, or operational analytics products.
  • -Ability to communicate clearly with both technical and non-technical stakeholders.
  • -Strong organizational skills and the ability to manage multiple priorities in a fast-paced and sometimes chaotic environment.
  • -Demonstrated ability to take initiative, work independently, and follow through on deliverables with minimal supervision.
  • -Willingness and ability to work extended hours when business-critical deadlines require it.
Preferred
  • -Experience supporting infrastructure, construction, supply chain, operations, cloud, or large-scale program delivery environments.
  • -Exposure to data center infrastructure build programs, capacity planning, infrastructure deployment, or related operational reporting.
  • -Experience with AI, machine learning, or automation use cases in reporting, analytics, or business operations.
  • -Familiarity with BI and visualization tools such as Power BI, Tableau, Oracle Analytics, Looker, or similar platforms.
  • -Experience designing or improving data governance processes, reporting standards, data dictionaries, or quality control checks.
  • -Ability to work with messy, incomplete, or rapidly changing datasets and create reliable reporting structures from them.
  • -Experience preparing executive-level reporting materials or leadership-facing summaries.
  • *Key Competencies
  • -Proactive ownership and follow-through
  • -Strong analytical judgment
  • -Comfort with ambiguity and rapid change
  • -High attention to detail
  • -Advanced Excel and data handling capability
  • -Practical coding and automation mindset
  • -Strong stakeholder communication
  • -Ability to operate under pressure
  • -Curiosity about AI-enabled analytics and reporting
  • -Commitment to data quality and governance
  • *Working Environment
  • This role supports a fast-paced infrastructure build environment where priorities may change quickly, data may be incomplete, and deadlines may be aggressive. The successful candidate will be comfortable working in a high-urgency setting, managing multiple concurrent requests, and occasionally working long hours to support critical reporting cycles, leadership requests, or business milestones.
Responsibilities
  • We are seeking a highly proactive and detail-oriented Data Analysis, Reporting & AI Analyst to support analytics and reporting efforts related to data center infrastructure build programs . This role will sit within the Data Governance, Analytics & Reporting organization and will focus on transforming complex data into actionable insights, improving reporting quality, supporting data-driven decision-making, and helping identify opportunities to apply AI and automation across reporting workflows.
  • The ideal candidate has strong data analytics capabilities, practical coding knowledge, advanced Excel skills, and a solid understanding of database principles. This person should be comfortable operating in a fast-paced, ambiguous, and rapidly changing environment, where priorities may shift quickly and long hours may occasionally be required to support critical business needs.
  • This is an individual contributor role requiring strong ownership, independence, analytical judgment, and the ability to partner effectively with cross-functional teams.
  • -Develop, maintain, and improve reporting, dashboards, trackers, and analytical outputs supporting data center infrastructure build activities.
  • -Analyze large and complex datasets to identify trends, risks, inconsistencies, gaps, and opportunities for process improvement.
  • -Partner with stakeholders across data governance, analytics, infrastructure delivery, planning, finance, operations, and related teams to understand reporting needs and translate them into clear data outputs.
  • -Build and manage advanced Excel-based models, trackers, and reporting files, including complex formulas, pivot tables, Power Query, macros, and structured data validation where applicable.
  • -Use coding and scripting skills to automate repetitive reporting tasks, improve data quality checks, and streamline manual workflows.
  • -Support the development of AI-enabled reporting and analytics capabilities, including identifying use cases for automation, summarization, anomaly detection, forecasting, and decision support.
  • -Apply sound database principles when working with structured data, including table relationships, data integrity, normalization concepts, query logic, and documentation of data sources.
  • -Assist with data governance activities, including defining data standards, validating data quality, documenting assumptions, and improving consistency across reports.
  • -Create clear, executive-ready summaries, insights, and visualizations that help stakeholders understand progress, risks, and performance.
  • -Operate independently in a high-pressure, fast-moving environment with shifting priorities, incomplete information, and tight deadlines.
  • -Proactively identify reporting issues, process inefficiencies, and data gaps, and drive practical solutions without waiting for detailed direction.
  • -Maintain strong attention to detail while balancing speed, urgency, and changing business needs.
View full posting on CareerOneStop → ID: a33b06918894
Data Analyst
Cardinal Health · Salem, OR
Mid-level Bachelor's
2026-05-14
Preferred
  • Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
View full posting on CareerOneStop → ID: e6426f68d890
Program Controls Data Analysis, Reporting & AI Analyst
Oracle · Salem, OR
Mid-level Associate's
2026-05-14
Requirements
  • -5-8 years of experience in data analysis, business analytics, reporting, data governance, operations analytics, or a related analytical role.
  • -Strong analytical and problem-solving skills, with the ability to work through ambiguity and turn complex data into practical business insights.
  • -Advanced Microsoft Excel skills, including experience with complex formulas, pivot tables, structured workbooks, data validation, lookups, Power Query, and large datasets.
  • -Working knowledge of database principles, including relational data structures, joins, keys, data quality, and data integrity concepts.
  • -Coding or scripting experience, such as SQL, Python, VBA, R, or similar tools used for data extraction, transformation, automation, or analysis.
  • -Experience building recurring reports, dashboards, scorecards, or operational analytics products.
  • -Ability to communicate clearly with both technical and non-technical stakeholders.
  • -Strong organizational skills and the ability to manage multiple priorities in a fast-paced and sometimes chaotic environment.
  • -Demonstrated ability to take initiative, work independently, and follow through on deliverables with minimal supervision.
  • -Willingness and ability to work extended hours when business-critical deadlines require it.
Preferred
  • -Experience supporting infrastructure, construction, supply chain, operations, cloud, or large-scale program delivery environments.
  • -Exposure to data center infrastructure build programs, capacity planning, infrastructure deployment, or related operational reporting.
  • -Experience with AI, machine learning, or automation use cases in reporting, analytics, or business operations.
  • -Familiarity with BI and visualization tools such as Power BI, Tableau, Oracle Analytics, Looker, or similar platforms.
  • -Experience designing or improving data governance processes, reporting standards, data dictionaries, or quality control checks.
  • -Ability to work with messy, incomplete, or rapidly changing datasets and create reliable reporting structures from them.
  • -Experience preparing executive-level reporting materials or leadership-facing summaries.
  • *Key Competencies
  • -Proactive ownership and follow-through
  • -Strong analytical judgment
  • -Comfort with ambiguity and rapid change
  • -High attention to detail
  • -Advanced Excel and data handling capability
  • -Practical coding and automation mindset
  • -Strong stakeholder communication
  • -Ability to operate under pressure
  • -Curiosity about AI-enabled analytics and reporting
  • -Commitment to data quality and governance
  • *Working Environment
  • This role supports a fast-paced infrastructure build environment where priorities may change quickly, data may be incomplete, and deadlines may be aggressive. The successful candidate will be comfortable working in a high-urgency setting, managing multiple concurrent requests, and occasionally working long hours to support critical reporting cycles, leadership requests, or business milestones.
Responsibilities
  • We are seeking a highly proactive and detail-oriented Data Analysis, Reporting & AI Analyst to support analytics and reporting efforts related to data center infrastructure build programs . This role will sit within the Data Governance, Analytics & Reporting organization and will focus on transforming complex data into actionable insights, improving reporting quality, supporting data-driven decision-making, and helping identify opportunities to apply AI and automation across reporting workflows.
  • The ideal candidate has strong data analytics capabilities, practical coding knowledge, advanced Excel skills, and a solid understanding of database principles. This person should be comfortable operating in a fast-paced, ambiguous, and rapidly changing environment, where priorities may shift quickly and long hours may occasionally be required to support critical business needs.
  • This is an individual contributor role requiring strong ownership, independence, analytical judgment, and the ability to partner effectively with cross-functional teams.
  • -Develop, maintain, and improve reporting, dashboards, trackers, and analytical outputs supporting data center infrastructure build activities.
  • -Analyze large and complex datasets to identify trends, risks, inconsistencies, gaps, and opportunities for process improvement.
  • -Partner with stakeholders across data governance, analytics, infrastructure delivery, planning, finance, operations, and related teams to understand reporting needs and translate them into clear data outputs.
  • -Build and manage advanced Excel-based models, trackers, and reporting files, including complex formulas, pivot tables, Power Query, macros, and structured data validation where applicable.
  • -Use coding and scripting skills to automate repetitive reporting tasks, improve data quality checks, and streamline manual workflows.
  • -Support the development of AI-enabled reporting and analytics capabilities, including identifying use cases for automation, summarization, anomaly detection, forecasting, and decision support.
  • -Apply sound database principles when working with structured data, including table relationships, data integrity, normalization concepts, query logic, and documentation of data sources.
  • -Assist with data governance activities, including defining data standards, validating data quality, documenting assumptions, and improving consistency across reports.
  • -Create clear, executive-ready summaries, insights, and visualizations that help stakeholders understand progress, risks, and performance.
  • -Operate independently in a high-pressure, fast-moving environment with shifting priorities, incomplete information, and tight deadlines.
  • -Proactively identify reporting issues, process inefficiencies, and data gaps, and drive practical solutions without waiting for detailed direction.
  • -Maintain strong attention to detail while balancing speed, urgency, and changing business needs.
View full posting on CareerOneStop → ID: d130f9504a6c
Business Intelligence Developer
University of Washington · Seattle, WA
Mid-level Bachelor's
2026-05-14
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

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
Preferred
  • Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
View full posting on CareerOneStop → ID: b7cdb5c09103
Program Controls Data Analysis, Reporting & AI Analyst
Oracle · Olympia, WA
Mid-level Associate's
2026-05-14
Requirements
  • -5-8 years of experience in data analysis, business analytics, reporting, data governance, operations analytics, or a related analytical role.
  • -Strong analytical and problem-solving skills, with the ability to work through ambiguity and turn complex data into practical business insights.
  • -Advanced Microsoft Excel skills, including experience with complex formulas, pivot tables, structured workbooks, data validation, lookups, Power Query, and large datasets.
  • -Working knowledge of database principles, including relational data structures, joins, keys, data quality, and data integrity concepts.
  • -Coding or scripting experience, such as SQL, Python, VBA, R, or similar tools used for data extraction, transformation, automation, or analysis.
  • -Experience building recurring reports, dashboards, scorecards, or operational analytics products.
  • -Ability to communicate clearly with both technical and non-technical stakeholders.
  • -Strong organizational skills and the ability to manage multiple priorities in a fast-paced and sometimes chaotic environment.
  • -Demonstrated ability to take initiative, work independently, and follow through on deliverables with minimal supervision.
  • -Willingness and ability to work extended hours when business-critical deadlines require it.
Preferred
  • -Experience supporting infrastructure, construction, supply chain, operations, cloud, or large-scale program delivery environments.
  • -Exposure to data center infrastructure build programs, capacity planning, infrastructure deployment, or related operational reporting.
  • -Experience with AI, machine learning, or automation use cases in reporting, analytics, or business operations.
  • -Familiarity with BI and visualization tools such as Power BI, Tableau, Oracle Analytics, Looker, or similar platforms.
  • -Experience designing or improving data governance processes, reporting standards, data dictionaries, or quality control checks.
  • -Ability to work with messy, incomplete, or rapidly changing datasets and create reliable reporting structures from them.
  • -Experience preparing executive-level reporting materials or leadership-facing summaries.
  • *Key Competencies
  • -Proactive ownership and follow-through
  • -Strong analytical judgment
  • -Comfort with ambiguity and rapid change
  • -High attention to detail
  • -Advanced Excel and data handling capability
  • -Practical coding and automation mindset
  • -Strong stakeholder communication
  • -Ability to operate under pressure
  • -Curiosity about AI-enabled analytics and reporting
  • -Commitment to data quality and governance
  • *Working Environment
  • This role supports a fast-paced infrastructure build environment where priorities may change quickly, data may be incomplete, and deadlines may be aggressive. The successful candidate will be comfortable working in a high-urgency setting, managing multiple concurrent requests, and occasionally working long hours to support critical reporting cycles, leadership requests, or business milestones.
Responsibilities
  • We are seeking a highly proactive and detail-oriented Data Analysis, Reporting & AI Analyst to support analytics and reporting efforts related to data center infrastructure build programs . This role will sit within the Data Governance, Analytics & Reporting organization and will focus on transforming complex data into actionable insights, improving reporting quality, supporting data-driven decision-making, and helping identify opportunities to apply AI and automation across reporting workflows.
  • The ideal candidate has strong data analytics capabilities, practical coding knowledge, advanced Excel skills, and a solid understanding of database principles. This person should be comfortable operating in a fast-paced, ambiguous, and rapidly changing environment, where priorities may shift quickly and long hours may occasionally be required to support critical business needs.
  • This is an individual contributor role requiring strong ownership, independence, analytical judgment, and the ability to partner effectively with cross-functional teams.
  • -Develop, maintain, and improve reporting, dashboards, trackers, and analytical outputs supporting data center infrastructure build activities.
  • -Analyze large and complex datasets to identify trends, risks, inconsistencies, gaps, and opportunities for process improvement.
  • -Partner with stakeholders across data governance, analytics, infrastructure delivery, planning, finance, operations, and related teams to understand reporting needs and translate them into clear data outputs.
  • -Build and manage advanced Excel-based models, trackers, and reporting files, including complex formulas, pivot tables, Power Query, macros, and structured data validation where applicable.
  • -Use coding and scripting skills to automate repetitive reporting tasks, improve data quality checks, and streamline manual workflows.
  • -Support the development of AI-enabled reporting and analytics capabilities, including identifying use cases for automation, summarization, anomaly detection, forecasting, and decision support.
  • -Apply sound database principles when working with structured data, including table relationships, data integrity, normalization concepts, query logic, and documentation of data sources.
  • -Assist with data governance activities, including defining data standards, validating data quality, documenting assumptions, and improving consistency across reports.
  • -Create clear, executive-ready summaries, insights, and visualizations that help stakeholders understand progress, risks, and performance.
  • -Operate independently in a high-pressure, fast-moving environment with shifting priorities, incomplete information, and tight deadlines.
  • -Proactively identify reporting issues, process inefficiencies, and data gaps, and drive practical solutions without waiting for detailed direction.
  • -Maintain strong attention to detail while balancing speed, urgency, and changing business needs.
View full posting on CareerOneStop → ID: 3b808352eb51
Data Analyst
Cardinal Health · Helena, MT
Mid-level
2026-05-14
View full posting on CareerOneStop → ID: ca955c770b71
Program Controls Data Analysis, Reporting & AI Analyst
Oracle · Helena, MT
Mid-level
2026-05-14
View full posting on CareerOneStop → ID: 734b8b0b1411
Data Analyst
Cayuse Holdings · Olympia, WA
Mid-level Bachelor's
2026-05-13
Requirements
  • Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, or another quantitative discipline, or equivalent relevant experience.
  • A minimum of 5 years of professional experience
  • At least 5 years of experience with data structures, foundational statistical concepts, and analytical methodologies
  • At least 5 years of experience developing and presenting data-driven findings and recommendations.
  • Public Trust Clearance is required.
  • Due to the nature of work, U.S. Citizenship is required.
Responsibilities
  • Meet with clients to understand their business needs, define research objectives, identify data sources, and develop analysis plans.
  • Apply critical thinking and creative problem-solving skills to proactively identify and develop solutions for clients' business challenges.
  • Conduct exploratory data analysis using large-scale client data sources, and develop briefings and reports to communicate key findings to colleagues and clients.
  • Collaborate with teams of data scientists to build pipelines for data engineering and machine learning.
  • Work with teams of software developers to build tools for data visualization and analysis.
  • Develop recommendations based on completed research and analysis and present these recommendations to clients.
  • Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with both technical and non-technical backgrounds.
  • Take ownership of tasks and produce high-quality work products with minimal supervision.
  • Other duties as assigned.
View full posting on CareerOneStop → ID: ce1429cb55ce
Data Analyst
Cayuse Holdings · Boise, ID
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 11115d1b13b4
Data Analyst
Cayuse Holdings · Salem, OR
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 201c6c974ab3
Page Wide Print Data Analyst
HP Inc. · Corvallis, OR
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: d61c979ccd26
Data Analyst
Cayuse Holdings · Helena, MT
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 6e19ce5eb8aa
Data Analyst
Cayuse Holdings · Cheyenne, WY
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 8cf811acfcb0
Data Analyst
Cayuse Holdings · Salt Lake City, UT
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 92a0f7af2a28
Data Analyst
Cayuse Holdings · Pierre, SD
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 247c915dbcd4
Data Analyst
Cayuse Holdings · Bismarck, ND
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: cb988075195c
Data Analyst
Cayuse Holdings · Carson City, NV
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: cd43e10cb83e
Data Analyst
Cayuse Holdings · Sacramento, CA
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: d608e15dc963
Data Analyst
Cayuse Holdings · Denver, CO
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 8d48a64e8d4f
Data Analyst
ManpowerGroup · Los Angeles, CA
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 50b80185b9be
Data Analyst
The Walt Disney Company · Burbank, CA
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 8f1c3f950872
Data Analyst
Cayuse Holdings · Phoenix, AZ
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: e14f3c5d3054
Data Analyst
Cayuse Holdings · Santa Fe, NM
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 97d87a02403d
Data Analyst
Cayuse Holdings · Lincoln, NE
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 20530704f379
Data Analyst
Cayuse Holdings · Topeka, KS
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: f321b2ce36d5
Data Analyst
Cayuse Holdings · Oklahoma City, OK
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 2fce1ac5c9b3
Workforce Data Analyst
Love's Travel Stops & Country Stores · Oklahoma City, OK
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 4de41ff744da
Data Analyst
Cayuse Holdings · Austin, TX
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: f0bf41a662da
Data Analyst
Robert Half · San Antonio, TX
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 6b595a825d90
Data Analytics Engineer, College of Natural Sciences
UNIVERSITY OF TEXAS AT AUSTIN · Austin, TX
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 181acc443a11
Epic Business Intelligence Developer II
Texas Health Resources · Arlington, TX
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 74d0b253577a
Business Intelligence & Systems Analyst
U.S. Bank · Minneapolis, MN
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 0274de81cdbb
Clinical Data Analyst
Minnesota Visiting Nurse Agency · Minneapolis, MN
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: a208c419687c
Consultant, Data Analytics & Reporting
Cargill · Wayzata, MN
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 37e23ca3df09
Data Analyst
Cayuse Holdings · Saint Paul, MN
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 56b65fd8b7d0
Data Analyst
Cayuse Holdings · Des Moines, IA
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: adafc89ef354
Data Analyst
Iowa Department of Administrative Services · Des Moines, IA
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: a6c34a44a498
Part-Time Student - Technical Data Analytics - Ames, IA
John Deere · Ames, IA
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: ce4efba7b57b
Data Analyst
Cayuse Holdings · Jefferson City, MO
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 22615ed0db51
Data Analyst
Cayuse Holdings · Little Rock, AR
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 6c3578871d7c
Data Analyst II- eDiscovery
Walmart · Bentonville, AR
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 4ba9a3421a55
Data Analyst
Cayuse Holdings · Baton Rouge, LA
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 2e66357e66f7
Data Analyst
Arvato Bertelsmann · Pleasant Prairie, WI
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: fb3b35a94c5d
Data Analyst
Cayuse Holdings · Madison, WI
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: c12a027996b7
Data Analyst
Cayuse Holdings · Springfield, IL
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: da93114d10fe
Data Analyst
Cayuse Holdings · Jackson, MS
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: b582421ee16a
Data Analyst
Cayuse Holdings · Montgomery, AL
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 7cfede9c4a97
Data Analyst
Cayuse Holdings · Nashville, TN
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 46409c66413c
Data Analyst
Cayuse Holdings · Frankfort, KY
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 34104a066a9e
Data Analyst
Cayuse Holdings · Atlanta, GA
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 139724da897c
Data Analysis Expert
COOLSOFT · Raleigh, NC
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 1cfd3304f2d7
Data Analyst
Cayuse Holdings · Raleigh, NC
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 7b8ee8d73395
Business Intelligence Engineer, Fire Tablets
Amazon · Seattle, WA
Mid-level
2026-05-12
Requirements
  • 3+ years of SQL, ETL or Oracle experience
  • Experience writing complex SQL queries
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • In this role you will:
  • Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
  • Put on your marketing cap to drive insights and action we can take to improve the customer experience
  • Measure the key metrics of our business and propose/implement projects to improve these metrics
View full posting on CareerOneStop → ID: 21bb31195a5d
Business Intelligence Engineer, Rapid & Rural Logistics (R2L) Science & AI
Amazon · Bellevue, WA
Mid-level
2026-05-12
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • As a BIE II on our team, you will sit at the intersection of data, science, and product - owning end-to-end analytics solutions from ambiguous problem spaces to deployed insights. You'll design scalable data models, build high-quality datasets, and partner closely with Data Scientists and System Development Engineers to integrate predictive models and AI agents into business workflows. This role goes beyond dashboards: you'll share how AI is used in production, evaluate model performance, and ensure outputs are accurate, explainable, and actionable.
  • Key responsibilities include developing performant ETL pipelines, defining metrics and experimentation frameworks, and building intuitive reporting layers that surface both descriptive and predictive insights.
  • We're looking for someone who is equally comfortable writing complex SQL, thinking statistically about data, and collaborating on AI-driven solutions. If you're excited about building the next generation of data + AI agents/systems that directly impact operations, this role offers high ownership and visibility.
View full posting on CareerOneStop → ID: 20a88c52cdc8
Business Analyst/Data Analyst
DT Professional Services · Norco, CA
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 8cd5cb487245
Business Intelligence (BI) Engineer
Robert Half · Los Angeles, CA
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: b6fca37fc69e
Customer Engineer, Data Analytics, Google Cloud
Google · Sunnyvale, CA
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: b883669ab759
Customer Engineer, Data Analytics, Google Cloud, Startups
Google · Sunnyvale, CA
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 30be3b76c440
Customer Engineer, Data Analytics, Google Cloud, Startups
Google · San Francisco, CA
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 1e332f2160d9
Customer Engineer, Data Analytics, Google Cloud, Startups
Google · Los Angeles, CA
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: da3ed5bd14f6
Data Analyst
SMITH JOHNSON GROUP INC. · Sandy, UT
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: e4b4f69adda7
Data Analyst (Applications Analyst II)
Mission Support and Test Services · North Las Vegas, NV
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 03e769482fa5
Data Analytics Analyst
Canon USA & Affiliates · Glendale, CA
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 0b514bea85e4
Data Analytics Analyst
Canon USA & Affiliates · Irvine, CA
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 3253acac7716
Data Analytics Sales Specialist III, Google Cloud
Google · Irvine, CA
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: b50fca17ad19
Quality Data Analyst
Sanford Health · Bismarck, ND
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 8324eb07ab63
Quality Data Analyst
Sanford Health · Fargo, ND
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 83590de80ab0
Quality Data Analyst
Sanford Health · Sioux Falls, SD
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 32b291397cb7
MDM Business Analyst / Data Analyst - Onsite - In-person interview
MSys Inc. · Santa Clara, CA
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 019c4c4dac63
Regulatory Data Analyst - Utility Transformation
System One · Denver, CO
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 0c33a35ea66e
Customer Engineer, Data Analytics, Google Cloud, Startups
Google · Austin, TX
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 19f191ae9c4a
Advanced Data Analyst - Inventory & Planning Analytics
Bio-Techne · Minneapolis, MN
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 295aad704589
Quality Data Analyst
Sanford Health · Bemidji, MN
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 1abe2c070618
Regulatory Data Analyst - Utility Transformation
System One · Minneapolis, MN
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 1d9efdec56db
Quality Data Analyst
Sanford Health · Marshfield, WI
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 4e82af174894
Customer Engineer, Data Analytics, Google Cloud, Startups
Google · Chicago, IL
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 3a17d3b919af
Data Analyst 2 (2-4 years)
Robert Half · Chicago, IL
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: 607321ec6792
Customer Engineer, Data Analytics, Google Cloud, Startups
Google · Atlanta, GA
Mid-level
2026-05-12
View full posting on CareerOneStop → ID: c31915a4a7e5
Research Data Analyst
University of Kansas Medical Center · Kansas City, KS
Mid-level
2026-05-11
View full posting on CareerOneStop → ID: 9a3b51968ea7
Statistical Data Analyst
Saline County · Salina, KS
Mid-level
2026-05-11
View full posting on CareerOneStop → ID: 49d2aaa17279
Business Data Analyst
MILLIMAN, INC. · Salt Lake City, UT
Mid-level
2026-05-10
View full posting on CareerOneStop → ID: b01bcfb8d381
Consulting Business Intelligence Developer
HCA Healthcare · Nashville, TN
Mid-level
2026-05-10
View full posting on CareerOneStop → ID: 9023375d70a2
Business Intelligence Engineer, SCOT-AIM
Amazon · Bellevue, WA
Mid-level
2026-05-09
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience writing complex SQL queries
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • You will be owning building of data and AI products that provide stakeholders across Amazon with deep insights to identify and resolve defects. We own metrics, bridges, anomaly detection, insight generation and defect repair systems used by Senior leadership, stakeholders and business teams across entire Amazon e-commerce organization worldwide.
  • You will always be challenged to think several steps ahead so that the solutions we are building today will scale well with future growth and without adding excessive operational overhead.
  • You will need to develop deep technical and business understanding of existing system (owned by us as well as other teams across Amazon) as you will responsible for identifying synergies and minimizing investment in redundant features.
  • You will work with supply chain operations teams, in-house scientists, other BI Engineers, and software teams to identify enhancement opportunities and new features for our data products.
  • Successful candidates should excel at diving into data in order to analyze problems and implement simple, long term solutions.
  • This is a highly visible role and will require regular interaction and communication with senior leaders.
  • You must have experience and capability to document your work for technical as well as non-technical audiences.
  • You will have the opportunity to thrive in a highly collaborative, creative, analytical, and fast-paced environment oriented around building the world's most flexible and effective supply chain management technology.
  • Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
  • The benefits that generally apply to regular, full-time employees include:
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
  • At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
View full posting on CareerOneStop → ID: 297fb0873f73
Data Engineer, AIR DABI (Data Analytics and Business Intelligence)
Amazon · Bellevue, WA
Mid-level
2026-05-09
Requirements
  • 2+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (e.g., Python, KornShell)
  • Familiarity with leveraging GenAI/LLM tools to improve development productivity
Preferred
  • Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
  • Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
  • Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  • Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Responsibilities
  • Design and implement robust ETL/ELT processes using AWS big data technologies
  • Create scalable data integration solutions that transform complex business requirements into actionable insights
  • Develop and maintain high-performance data pipelines that support critical business intelligence needs
  • Proactively identify and resolve data infrastructure challenges to enhance system reliability
  • Collaborate with cross-functional teams to drive data-driven decision-making strategies
  • Contribute to the development and maintenance of AIR's GenAI infrastructure and data foundations
  • Design and implement data architectures that support generative AI applications and LLM workflows
  • Leverage GenAI tools (e.g., Amazon Q, coding assistants) to accelerate development and testing
  • Your day will be a dynamic blend of technical innovation and collaborative problem-solving. You'll dive into complex datasets, design elegant data pipelines, and work alongside cross-functional teams to unlock actionable intelligence that shapes the future of global logistics.
View full posting on CareerOneStop → ID: 06b3204dd0b5
Data Analyst - Housing Programs
DESC · Seattle, WA
Mid-level Master's
2026-05-09
Requirements
  • Associate's degree, or 2 years of highly relevant paid work experience and formal training in data analytics to demonstrate an ability to successfully perform the job.
  • Strong computer skills, including using word processors, analyzing Excel spreadsheets, and writing SQL queries.
  • Strong oral and written communication skills and ability to work effectively with staff from various backgrounds and disciplines.
  • Ability to organize and coordinate work efficiently; prioritize workload, work under pressure with tight timelines and changing priorities.
  • Ability to work independently with a minimum of supervision, and act on own initiative, within agency procedural guidelines.
  • Initiative and creativity in problem solving and system development.
  • Willingness to be flexible and work cooperatively with co-workers to accomplish all responsibilities of the team.
  • Subscribe to philosophy of cooperation and continuity across programs, and of consideration and respect for clients.
  • Appropriate safeguarding and handling of confidential and proprietary information.
Preferred
  • Bachelor's degree in computer science, engineering, related field or equivalent experience: advanced degree a plus.
  • 4 years' highly relevant paid work experience.
  • Knowledge of affordable housing and homelessness sectors.
  • Knowledge of health equity and organizational change principles.
  • Experience working in administration/coordination in a human services or affordable housing setting.
  • Experience working with individuals who are homeless, mentally ill, and/or use substances.
  • Demonstrated ability to use scripting or programming languages to perform tasks.
  • Data analysis experience with R/Python
  • Experience with Apache or other HTTP servers, GitHub, and Linux.
Responsibilities
  • Identify, coordinate, and communicate processes to create efficiencies and improve program performance.
  • Monitor and administer DESC's housing data collection and reporting through King County's HMIS system.
  • Creating interactive dashboard visualizations, to help track key indicators of outcome and success in programs and settings.
  • Adherence to the HIM compliance and housing documentation improvement program, including training housing staff on documentation standards.
  • Serves as a subject matter expert for managers on documentation & data reporting standards that comply with regulatory requirements.
  • Assist various housing programs with data analysis and reporting requirements.
  • Use data sources to perform validation and quality control checks to track performance and compliance in identified areas.
  • Perform analysis on quality, cost and achievement metrics to evaluate programs, using visualization techniques to communicate insights and recommendations.
  • Support ongoing contract requirements with independent data analysis and written reports.
  • Collaborate with the Quality and Information Management Departments and other DESC partners to scope, design, and validate additional reporting and design features.
  • Enhance existing reports and reporting processes to create efficiencies and added value throughout DESC.
  • Assist in various quality assurance activities, including but not limited to quarterly internal audits.
  • Document project details and maintain report specifications that clearly describe how implemented features work and work with end-users to ensure usage and usability.
  • Other duties as assigned.
View full posting on CareerOneStop → ID: b43005b93180
GIS Data Analyst
City of Boise · Boise, ID
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: fbb0df258bd9
Part-Time Data Analyst Technician (Manufacturing Systems / C
PEPPERIDGE FARM INCORPORATED · Richmond, UT
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 400734443817
Business Data Analyst
Insight Global · Vernon, CA
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: f526debda28e
Customer Engineer, Data Analytics, Financial Services
Google · Los Angeles, CA
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 5839162642b5
Customer Engineer, Data Analytics, Financial Services
Google · San Francisco, CA
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 407c41b9f071
Customer Engineer, Data Analytics, Financial Services
Google · Sunnyvale, CA
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 61ee84e8ed46
Data Analyst, Provider Configuration
Molina Healthcare · Long Beach, CA
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 290447f4133d
Business Intelligence Analyst II
EchoStar · Englewood, CO
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: cffe9cb4dcba
Master Data Analyst
Leprino Foods · Denver, CO
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 3bf8d2020fd5
Tech Refresh Data Analyst - TS/SCI with Polygraph
General Dynamics Information Technology · Colorado Springs, CO
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 5f3a01b9a29d
Business Intelligence (BI) Engineer
Robert Half · Houston, TX
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: f8cfe07af3f0
Customer Engineer, Data Analytics, Financial Services
Google · Austin, TX
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 87b0314a90b1
Data Analyst
PeopleReady · Del Rio, TX
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 7520cf5534c9
Customer Engineer, Data Analytics, Financial Services
Google · Chicago, IL
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 3159ac3f785d
Data Analyst
TEKsystems · Huntsville, AL
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 303c645e61cc
Sustainment Data Analyst
Lockheed Martin · Huntsville, AL
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 52cb9e9fe19b
Sustainment Data Analyst
Lockheed Martin · Huntsville, AL
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 6a63736b4fda
Data Analysis Engineer
Belcan · Lexington, KY
Mid-level
2026-05-09
View full posting on CareerOneStop → ID: 5c0e2ff252d9
Global Product Scheduling Integration Data Analyst
Google · Seattle, WA
Mid-level Master's
2026-05-08
Requirements
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in program or project management.
  • 5 years of experience in managing full life cycle data center construction planning.
  • 5 years of experience in primavera P6 enterprise project portfolio management.
  • 5 years of experience in data analysis.
Preferred
  • Master's degree or MBA.
  • 7 years of experience in managing full life cycle data center construction planning.
  • 7 years of experience in primavera P6 enterprise project portfolio management.
  • 7 years of experience in data analysis.
Responsibilities
  • A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
  • In this role, you will own the integrity and strategic planning of our entire product portfolio. You will operate at the intersection of program management, engineering strategy, and advanced analytics. You will orchestrate the planning architecture for our most complex product configurations, partnering with the executive team leads to drive logic based design schedules. Simultaneously, you will serve as the portfolio's data analyst, using advanced milestone-to-milestone forensics to generate predictive insights. You will carry the mandate to enforce schedule governance, possessing the authority to reject green-shifted plans and ensure that organizational decisions are based on mathematical reality, not optimism.
  • The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.
  • The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
  • Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
  • Lead the end-to-end schedule strategy for New Product Introduction (NPI) and refinements. Define the logic strategy that integrates design and engineering across multi-variant product configurations.
  • Partner with executive team leads and engineering groups to translate high-level product roadmaps into executable, resource loaded schedules.
  • Establish the standard for how product variants are modeled in the schedule. Ensure that dependencies between common core components and unique configuration elements are mathematically sound.
  • Conduct analysis into the velocity between critical milestones. Identify systemic drag factors that are invisible at the surface level and quantify their impact on the bottom line.
  • Transform raw schedule data into high-level strategic narratives. Present these insights directly to leadership, highlighting risks that require immediate executive intervention.
  • Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
View full posting on CareerOneStop → ID: 93d5e0e2fad1
Human Resources Data Analyst
Sanford Health · Sioux Falls, SD
Mid-level
2026-05-08
View full posting on CareerOneStop → ID: cf4acaf9f9be
Specialist, Technical Documentation And Data Analysis
Actalent · Broomfield, CO
Mid-level
2026-05-08
View full posting on CareerOneStop → ID: 04e14e6a9ab6
Distribution Data Analyst
Newell Rubbermaid, Inc. · Winfield, KS
Mid-level
2026-05-08
View full posting on CareerOneStop → ID: 12731f90da4b
Data Analyst II, IFP
UnitedHealth Group · Minnetonka, MN
Mid-level
2026-05-08
View full posting on CareerOneStop → ID: 2d57c01076bc
Systems and Data Analyst 4
PDS Defense · Berkeley, MO
Mid-level
2026-05-08
View full posting on CareerOneStop → ID: de6bb17da5b8
BUSINESS INTELLIGENCE DEVELOPER - BUSINESS INTELLIGENCE
Aspirus Ironwood Hospital · Wausau, WI
Mid-level
2026-05-08
View full posting on CareerOneStop → ID: 33242d1ae264
Data Analyst & GenAI Specialist, Enterprise AI
GE HealthCare · Chicago, IL
Mid-level
2026-05-08
View full posting on CareerOneStop → ID: 5d08efabc530
Data Analyst & GenAI Specialist, Enterprise AI
GE HealthCare · Springfield, IL
Mid-level
2026-05-08
View full posting on CareerOneStop → ID: 383baba8033c
Data Analyst II, IFP
UnitedHealth Group · Chicago, IL
Mid-level
2026-05-08
View full posting on CareerOneStop → ID: ac13866ec20a
Global Product Scheduling Integration Data Analyst
Google · Chicago, IL
Mid-level
2026-05-08
View full posting on CareerOneStop → ID: 536eb70f981b
Master Data Analyst
Robert Half · Erlanger, KY
Mid-level
2026-05-08
View full posting on CareerOneStop → ID: 9231225f7342
Business Intelligence Engineer, Amazon Autos
Amazon · Seattle, WA
Mid-level
2026-05-07
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in writing complex, highly-optimized SQL queries across large datasets
  • Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience visualizing data in Tableau or other relevant data visualization software
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Partner with stakeholders: Gather requirements and deliver end-to-end BI solutions (dashboards, data models, reporting) that address key business needs.
  • Build scalable data solutions: Design and maintain ETL pipelines and data models using SQL and scripting languages to integrate data from multiple sources (e.g., Redshift, Oracle).
  • Insights & decision support: Analyze performance trends, identify key drivers, and deliver actionable, data-driven recommendations to inform strategy and planning.
  • Ensure data quality & rigor: Apply best practices in data integrity, validation, experiment design, and documentation to maintain a trusted data source.
  • Innovate with data & AI: Evaluate and implement new data technologies and AI-driven approaches to automate insights and improve decision-making efficiency.
  • This role supports the Ads Autos strategic finance and business leadership teams to drive informed decision making.
  • You will support the Ads Autos Store with robust data needs that span various business domains which are all related to a new line of business for Amazon
  • Our team supports multiple reporting mechanisms, including development of systems on AWS, micro services, and pipelines
View full posting on CareerOneStop → ID: 5826262ee84c
Business Intelligence Engineer, AMXL (Amazon Extra Large) Inbound Analytics
Amazon · Bellevue, WA
Mid-level Master's
2026-05-07
Requirements
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)
Preferred
  • Master's degree, or Advanced technical degree
  • Knowledge of data modeling and data pipeline design
  • Experience with statistical analysis, co-relation analysis
Responsibilities
  • Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
  • Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).
  • Analyze and visualize large scale geo-spatial logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.
  • Serve as liaison between operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
  • Maintain and develop data pipeline for NA region
  • Automate and improve existing manual processes
  • Create tools to help deep diving and investigations into operations execution and business problems
  • Analyze and visualize large scale logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.
  • Standardize processes and bring parity across regions and business teams.
  • As a Busines Intelligence Engineer, you are responsible for identifying key metrics and creating reports to increase understanding of the business, proactively identifying pain points or opportunities through systemic measurement. You will be detail oriented, and demonstrate expertise in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders. You will blend advanced reporting with strong critical thinking and project management skills. In addition to the key responsibilities you will:
  • Partner with Data Engineering and Software Development Engineers to prioritize and define AMXL data and BI development needs.
  • Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects.
  • Serve as liaison between North America and Europe teams to ensure seamless communication and collaboration as well as standardizing processes across the globe to drive efficiency and effectiveness.
  • Implement end to end reporting for the worldwide operational teams to highlight improvement opportunities.
View full posting on CareerOneStop → ID: 14cd3b005154
Business Intelligence Engineer, IMDb
Amazon · Seattle, WA
Mid-level Bachelor's
2026-05-07
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
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
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
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
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
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
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
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
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
Requirements
  • If you love high profile and challenging programing projects supporting the US Navy- Serco has a great opportunity for you! We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard operations, readiness, and maintenance, and knows how to guide the development of impactful dashboards.
  • You won't just build dashboards-you'll shape what data matters most and how it should be presented working in the Washington DC metro area.
  • This individual will play a vital role in engaging senior Navy leaders, leveraging their comprehensive understanding of shipboard operations and their ability to provide valuable insights through data analysis. Ideally, we are seeking a candidate who has served onboard ships, in a shipyard environment and/or with past experience working on Navy maintenance metrics and analytics, particularly someone with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment.
  • In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued.
  • In this role, you will:
  • Apply shipboard maintenance experience and data analytics expertise to support the chain of command from senior Navy leaders to waterfront project managers and specialists in making informed ships maintenance and logistics decisions.
  • Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources.Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings.
  • Develop data-driven reports, briefings, and presentations for senior Navy leadership.Translate complex technical data into executive-level insights, reports, and recommendations.
  • Support the development of metrics frameworks, ensuring alignment with Fleet and Headquarters strategic objectives.
  • Foster strong working relationships with Navy personnel and stakeholders to ensure data analytics efforts align with organizational objectives
  • Provide strategic guidance on the design and application of dashboards in Power BI, Tableau, and Jupyter.
  • Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials.
  • To be successful in this role, you must have:
  • Bachelor's Degree and 6 years of relevant experience
  • US citizenship and an active DoD Secret Security clearance
  • Strong background in data analytics, including experience with statistical analysis, data visualization, and advanced analytic techniques in a DOD setting.
  • Proficiency in leveraging data to support decision-making processes and drive operational improvements.
  • Excellent communication skills, with the ability to effectively convey complex data insights to senior Navy leaders.
  • Familiarity with data sources and systems commonly used in the naval environment.
  • Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.).
  • Experience with data visualization using Qlik and/or Tableau.
  • Minimal 10% travel is expected.
Preferred
  • NAVSEA or Navy experience.
  • Experience with Depot-level Overhaul, Maintenance and Modernization activities.
  • Algorithm writing experience with Python and similar AI / ML languages desired.
  • Familiarity with Navy maintenance and readiness data systems (e.g., OARS, VSB, CASREP, or equivalent)DoD experience required or Naval surface ship experience preferably
  • Education or certification in data analytics, computer science, or a related field is preferred.
  • If you are interested in supporting and working with our NAVSEA efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career!
View full posting on CareerOneStop → ID: ca54066976d8
Metrics Data Analyst-Washington DC
Serco · Boise, ID
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: e93828da7140
Metrics Data Analyst-Washington DC
Serco · Aurora, OR
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 2fb915ee7d4f
Metrics Data Analyst-Washington DC
Serco · Albany, OR
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 8b27954ea028
Metrics Data Analyst-Washington DC
Serco · Choteau, MT
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: f84c34bb0844
Metrics Data Analyst-Washington DC
Serco · Belgrade, MT
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 9a6164ac7425
Data Analyst and State Reporting Officer
Helena School District · Helena, MT
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 569f051855d6
Metrics Data Analyst-Washington DC
Serco · Butte, MT
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 7b60b6d44339
Metrics Data Analyst-Washington DC
Serco · Cheyenne, WY
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 4aca99aa5fbe
Data Analyst
LAYTON CONSTRUCTION COMPANY, LLC · Sandy, UT
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: def5f62ad849
Metrics Data Analyst-Washington DC
Serco · Bluffdale, UT
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 5d498d9c42d7
Metrics Data Analyst-Washington DC
Serco · Carbury, ND
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 9dbbe22ca3c1
Metrics Data Analyst-Washington DC
Serco · Beulah, ND
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: f81b74bb73a6
Metrics Data Analyst-Washington DC
Serco · Carpio, ND
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: c0fa0b9d5f85
Metrics Data Analyst-Washington DC
Serco · Bottineau, ND
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: eafd496eb00e
Business Intelligence Engineer, AMXL (Amazon Extra Large) Inbound Analytics
Amazon · Tempe, AZ
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 5e1c6b3d8bf1
Finance Subject Matter Expert (SME) - ALM Systems, Transformation & Business Intelligence
Iron Mountain · Phoenix, AZ
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: c728a12eefba
Metrics Data Analyst-Washington DC
Serco · Phoenix, AZ
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 1986b34d99c8
Metrics Data Analyst-Washington DC
Serco · Bullhead City, AZ
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 28065a39b529
Metrics Data Analyst-Washington DC
Serco · Chandler, AZ
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 2411d0d4fffd
Metrics Data Analyst-Washington DC
Serco · Bullhead City, AZ
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: a7edc2ffcc25
Metrics Data Analyst-Washington DC
Serco · Albuquerque, NM
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 4f34f0e3a4f5
Metrics Data Analyst-Washington DC
Serco · Cannon AFB, NM
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: a6a2b8368b49
Metrics Data Analyst-Washington DC
Serco · Aurora, CO
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 2985b790af07
Metrics Data Analyst-Washington DC
Serco · Centennial, CO
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 9934dbc93947
Metrics Data Analyst-Washington DC
Serco · Air Force Academy, CO
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: cc211cb6c8f9
Metrics Data Analyst-Washington DC
Serco · Aurora, CO
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 1eaa644cc401
Metrics Data Analyst-Washington DC
Serco · Aurora, CO
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: a0a0dc4cfcd2
Metrics Data Analyst-Washington DC
Serco · Bellevue, NE
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: f202c0171859
Metrics Data Analyst-Washington DC
Serco · Abilene, KS
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: ce0756169fc4
Metrics Data Analyst-Washington DC
Serco · Chapman, KS
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 3d2739eb7c4a
Metrics Data Analyst-Washington DC
Serco · Altus, OK
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 13d91d5fd0ff
Metrics Data Analyst-Washington DC
Serco · Broken Arrow, OK
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: d5d609fb4268
Data Analytics - Operations
U.S. Bank · Saint Paul, MN
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 828d4e7e08f2
Metrics Data Analyst-Washington DC
Serco · Bettendorf, IA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 9e6f6756fa4d
Metrics Data Analyst-Washington DC
Serco · Butler, MO
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 9a573b09c09d
Metrics Data Analyst-Washington DC
Serco · Little Rock Air Force Base, AR
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: c0db3143bbe6
Metrics Data Analyst-Washington DC
Serco · Barksdale AFB, LA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 921ebb4c54ad
Metrics Data Analyst-Washington DC
Serco · Bossier City, LA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: f7044f1f40ec
Metrics Data Analyst-Washington DC
Serco · Belle Chasse, LA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 08fa850d3324
Metrics Data Analyst-Washington DC
Serco · Baton Rouge, LA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 517b1d2eb622
Metrics Data Analyst-Washington DC
Serco · Alexandria, LA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: fa362d459654
Business Intelligence Analyst 1
CHEGG INC · Madison, WI
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: d6e3572a1753
Data Analytics - Operations
U.S. Bank · Milwaukee, WI
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: bce9e7734beb
Metrics Data Analyst-Washington DC
Serco · Appleton, WI
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 791c9b981808
Metrics Data Analyst-Washington DC
Serco · Chicago, IL
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: a43a3fc00e1d
Metrics Data Analyst-Washington DC
Serco · Canton, IL
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: da584b7f2787
Metrics Data Analyst-Washington DC
Serco · Biloxi, MS
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 48e71acad5bb
Metrics Data Analyst-Washington DC
Serco · Bynum, AL
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 0cf24a32137e
Metrics Data Analyst-Washington DC
Serco · Anniston, AL
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 579b42ffa6f5
Metrics Data Analyst-Washington DC
Serco · Montgomery, AL
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: b5732ce30863
Business Intelligence Engineer, AMXL (Amazon Extra Large) Inbound Analytics
Amazon · Nashville, TN
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 36f387eaf1dc
Metrics Data Analyst-Washington DC
Serco · Alameda, CA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: b95d6d6e1b53
Metrics Data Analyst-Washington DC
Serco · Bakersfield, CA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 0a18f62d7201
Metrics Data Analyst-Washington DC
Serco · Chico, CA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 4cb34d61f80c
Metrics Data Analyst-Washington DC
Serco · Alhambra, CA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 4ea09c9253e8
Metrics Data Analyst-Washington DC
Serco · Burlingame, CA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 70db8fb365f5
Metrics Data Analyst-Washington DC
Serco · Bell, CA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 7754f716a208
Metrics Data Analyst-Washington DC
Serco · Sacramento, CA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 97d7f9a3e5f7
Metrics Data Analyst-Washington DC
Serco · Chester, MT
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 7e031a8851a1
Metrics Data Analyst-Washington DC
Serco · Atwater, CA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 0d27f77353c1
Metrics Data Analyst-Washington DC
Serco · Fullerton, CA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 10b5d34ae8ad
Metrics Data Analyst-Washington DC
Serco · Ridgecrest, CA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 50f4e9f2c69f
Metrics Data Analyst-Washington DC
Serco · Camp Pendleton North, CA
Mid-level
2026-05-07
View full posting on CareerOneStop → ID: 7fdb319c99d3
Data Analyst
Spartronics · Logan, UT
Mid-level
2026-05-06
View full posting on CareerOneStop → ID: cbb09117d3d6
Part-Time Evaluator, Data Analytics- Remote
WESTERN GOVERNORS UNIVERSITY · Millcreek, UT
Mid-level
2026-05-06
View full posting on CareerOneStop → ID: 0b1436c69470
HR Data Analyst
Panasonic North America · Sparks, NV
Mid-level
2026-05-06
View full posting on CareerOneStop → ID: de25a43be84c
HR Data Analyst
Panasonic North America · Olathe, KS
Mid-level
2026-05-06
View full posting on CareerOneStop → ID: 476037893311
Data Analyst - GEOINT Technical SME
SAIC · Saint Louis, MO
Mid-level
2026-05-06
View full posting on CareerOneStop → ID: 2799249cefab
Business Intelligence Analyst 1
CHEGG INC · Madison, WI
Mid-level
2026-05-06
View full posting on CareerOneStop → ID: 663177b2f689
Data Analyst
Robert Half · Nashville, TN
Mid-level
2026-05-06
View full posting on CareerOneStop → ID: 39dede9b1b29
Business Intelligence Engineer II, SCOT-AIM
Amazon · Bellevue, WA
Mid-level
2026-05-05
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience writing complex SQL queries
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • You will be owning building of data and AI products that provide stakeholders across Amazon with deep insights to identify and resolve defects. - We own metrics, bridges, anomaly detection, insight generation and defect repair systems used by Senior leadership, stakeholders and business teams across entire Amazon e-commerce organization worldwide.
  • You will always be challenged to think several steps ahead so that the solutions we are building today will scale well with future growth and without adding excessive operational overhead.
  • You will need to develop deep technical and business understanding of existing system (owned by us as well as other teams across Amazon) as you will responsible for identifying synergies and minimizing investment in redundant features.
  • You will work with supply chain operations teams, in-house scientists, other BI Engineers, and software teams to identify enhancement opportunities and new features for our data products.
  • Successful candidates should excel at diving into data in order to analyze problems and implement simple, long term solutions.
  • This is a highly visible role and will require regular interaction and communication with senior leaders.
  • You must have experience and capability to document your work for technical as well as non-technical audiences.
  • You will have the opportunity to thrive in a highly collaborative, creative, analytical, and fast-paced environment oriented around building the world's most flexible and effective supply chain management technology.
  • Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
  • The benefits that generally apply to regular, full-time employees include:
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
  • At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
View full posting on CareerOneStop → ID: 068d82221a56
Business Intelligence Engineer, CreativeX Advertising Finance
Amazon · Seattle, WA
Mid-level Bachelor's
2026-05-05
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
Market & Business Intelligence Analyst
DLA Piper LLP (US) · Seattle, WA
Mid-level
2026-05-05
Preferred
  • Must have strong analytical skills to gather, analyze and interpret a variety of data information. Knowledge of the legal market and competitors is a plus. Strong communication and interpersonal skills required to interact with staff of all levels. Must have experience using AI to conduct research. Must be fluent in data gathering and analysis, including organizing and manipulating data in Excel spreadsheets using basic and advanced functions
Responsibilities
  • Identifies market trends, industry developments, client movements and other relevant client news in an effort to provide information for the firm's marketing and business development department, attorneys, firm leadership, and other stakeholders.
  • Conducts extensive research on current and potential clients using web sources and internal data to assist in identifying potential areas of cross-selling and targeting opportunities in providing legal services.
  • Analyzes search results, compiles reports and provides a written executive summary. Provides information critical to the firm's business development and competitive advantage initiatives.
  • Analyzes the firm's clients, prospects, key industries serviced, and competitors and identify new markets. Supports client pitches and provides needed information for responding to RFPs.
  • Assists management with developing a highly functioning global competitive intelligence research and business analysis group by contributing ideas, suggestions, and using information and tools not typically found in a law firm.
  • Other duties as assigned.
View full posting on CareerOneStop → ID: abdfa4380900
Business Intelligence / Data Analyst
SunSoft Online · Scottsdale, AZ
Mid-level
2026-05-04
View full posting on CareerOneStop → ID: 0a511ed68824
Data Analyst
IDR Inc. · Loveland, CO
Mid-level
2026-05-04
View full posting on CareerOneStop → ID: 2e05c3969903
Business Intelligence Analyst
The Boeing Company · Auburn, WA
Mid-level Bachelor's
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
Data Analyst - Logistics, Mobility & Compliance Optimization - Tucson, AZ
RTX Corporation · Tucson, AZ
Mid-level
2026-05-03
View full posting on CareerOneStop → ID: 53d6871c8bc7
RN Program Coordinator - Quality - Data Analytics
Mayo Clinic · Phoenix, AZ
Mid-level
2026-05-03
View full posting on CareerOneStop → ID: f284c2418cd3
Business Intelligence Engineer , Worldwide Engineering and Innovation North American Sortation and Ultrafast Engineering
Amazon · Bellevue, WA
Mid-level
2026-05-02
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Build and manage AWS QuickSight Dashboards
  • Optimize and organize data pipelines into the visualization environment
  • Collaborate with business users on requirements, objectives and measures
  • Access large scale data and use analytical tools
  • Provide input and recommendations on technical issues to data engineering, data science, and software engineering teams
  • Contribute to data design, data modeling and data extracts/transforms
  • Work on ambiguous and think big Gen AI initiative to improve user productivity
  • In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment.
  • Realtime reporting. Leveraging AWS and Gen AI tools to be first to market in analytics with predictive and proactive solutions.
View full posting on CareerOneStop → ID: 8faa7377c513
Business Intelligence Engineer, Prime Video Science Tech
Amazon · Seattle, WA
Mid-level
2026-05-02
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 3+ years of SQL, ETL or Oracle experience
  • 3+ years of processing large, multi-dimensional datasets from multiple sources experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • 3+ years of performing statistical analysis experience
  • 3+ years of developing automated reporting experience
  • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Interacting with stakeholders (technical and non-technical) to understand primary use cases and questions.
  • Building data queries for ad hoc uses, dashboards, and deep-dive on data-pipeline.
  • Working with Data Engineers, Data scientists and Marketing media managers to provide data and insights for building Prime Video marketing measurement insights.
  • Managing cross organizational program for providing quality data for Prime Video Science models. Strong in communication and document writing for sharing regular updates on programs.
  • A typical day in this role provides opportunities for building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions.
  • Gather detailed requirements from stakeholders to understand their manual processes and pain points. Serve as the liaison between the engineering team and Prime Video stakeholders.
  • Think creatively to identify opportunities to solve problems using technology-driven solutions.
  • Design and implement optimal automation solutions to address stakeholder needs.
  • Manage cross organizational Data programs. Respond to ad hoc requests, and communicate on program updates.
  • Run Tech prioritization mechanism, and write document for leadership review on program updates.
View full posting on CareerOneStop → ID: cde0b7bec974
Data Analyst II - Inventory & SEO Growth
Rock Family of Companies · Seattle, WA
Mid-level Master's
2026-05-02
Responsibilities
  • Serve as a subject matter expert on Redfin's listings data.
  • Leverage analytical expertise to deliver simple answers to complex, ambiguous questions.
  • Build and maintain Tableau dashboards supporting the Growth analytics reporting portfolio.
  • Define success metrics and perform rigorous analyses for experiments.
  • Collaborate with team members to review analyses, code, and dashboards, ensuring high-quality deliverables that answer the right questions.
View full posting on CareerOneStop → ID: 477139ec7801
Data Analyst II - User Engagement & Conversion
Rock Family of Companies · Seattle, WA
Mid-level Master's
2026-05-02
Responsibilities
  • Serve as a subject matter expert on homeowner audiences and Redfin Estimate product performance and user engagement.
  • Leverage analytical expertise to deliver simple answers to complex, ambiguous questions.
  • Build and maintain Tableau dashboards supporting the Growth analytics reporting portfolio.
  • Define success metrics and perform rigorous analyses for experiments.
  • Collaborate with team members to review analyses, code, and dashboards, ensuring high-quality deliverables that answer the right questions.
View full posting on CareerOneStop → ID: 9c225949b81c
Business Intelligence Engineer III
Ampcus, Inc · Seattle, WA
Mid-level Master's
2026-05-02
Requirements
  • 7 years of experience working with large-scale complex datasets
  • Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
  • Strong working knowledge of SQL
  • Background (academic or professional) in statistics, programming, and marketing
  • SAS experience a plus
  • Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
  • Excellent communication skills, equally adept at working with engineers as well as business leaders
Responsibilities
  • Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
  • Statistical testing of A/B and multivariate experiments
  • Design, build and maintain metrics and reports on program health
  • Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
  • Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
  • Participate in strategic and tactical planning discussions
View full posting on CareerOneStop → ID: cb736e41cd02
Business Intelligence Engineer V
Ampcus, Inc · Seattle, WA
Mid-level Master's
2026-05-02
Requirements
  • 6 years of experience working with large-scale complex datasets.
  • Experience working with executive stakeholders in ecommerce or retail companies.
  • Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions.
  • Strong working knowledge of SQL.
  • Background (academic or professional) in statistics, programming, and marketing.
  • SAS experience a plus.
  • Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
  • Excellent communication skills, equally adept at working with engineers as well as business leaders.
Responsibilities
  • Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention.
  • Design, build and maintain metrics and reports on program health.
  • Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis.
  • Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base.
  • Participate in strategic and tactical planning discussions.
View full posting on CareerOneStop → ID: aff2506330aa
SCM MASTER DATA ANALYST
Trident Seafoods Corporation · Seattle, WA
Mid-level
2026-05-02

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

View full posting on CareerOneStop → ID: 4a3dcc57e7de
Data Analysis Post Bachelors Student
Los Alamos National Laboratory · Los Alamos, NM
Mid-level
2026-05-02
View full posting on CareerOneStop → ID: 4704c0330b4a
Business Intelligence Analyst
GardaWorld · Saint Louis, MO
Mid-level
2026-05-02
View full posting on CareerOneStop → ID: 1fc430c9ee1d
Business Intelligence Engineer , Worldwide Engineering and Innovation North American Sortation and Ultrafast Engineering
Amazon · Nashville, TN
Mid-level
2026-05-02
View full posting on CareerOneStop → ID: 3ba6aad5e82b
Business Intelligence Analyst
T-Mobile USA, Inc · Bellevue, WA
Mid-level Bachelor's
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
Business Intelligence Analyst 2
St. Luke's Health System · Boise, ID
Mid-level
2026-05-01
View full posting on CareerOneStop → ID: 28c0fb2dbeae
DPAS Data Analyst / Property Accountability Analyst
Butler America · Tucson, AZ
Mid-level
2026-05-01
View full posting on CareerOneStop → ID: a9a14e1f8e6b
System Test Data Analyst - Secret Clearance
Lockheed Martin · Colorado Springs, CO
Mid-level
2026-05-01
View full posting on CareerOneStop → ID: 31bbe1370a16
Business Intelligence Analyst
System One · Lenexa, KS
Mid-level
2026-05-01
View full posting on CareerOneStop → ID: fe6d64fb271e
GIS Data Analyst
Westinghouse Electric Company · Minneapolis, MN
Mid-level
2026-05-01
View full posting on CareerOneStop → ID: 53576802c1ac
Healthcare Data Analyst
Comagine Health · Jackson, MS
Mid-level
2026-05-01
View full posting on CareerOneStop → ID: 15f3646560d4
Data Analyst 2: Inventory (Hybrid - Seattle, WA)
Nordstrom · Seattle, WA
Mid-level Bachelor's
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
Business Intelligence Analyst
WPS Online, LLC · Bothell, WA
Mid-level Master's
2026-04-30
Requirements
  • Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
  • 3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
  • This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
  • Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.
Responsibilities
  • Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
  • Providing technical support for existing reports, dashboards, or other tools.
  • Providing reports through office applications to improve business processes.
  • Analyzing competitive market strategies through analysis of related products and markets.
  • Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
  • Managing timely flow of business intelligence information to users.
  • Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.
View full posting on CareerOneStop → ID: 494331878669
Business Intelligence Analyst
WPS Online, LLC · Bothell, WA
Mid-level Master's
2026-04-30
Requirements
  • Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
  • 3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
  • This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
  • Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.
Responsibilities
  • Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
  • Providing technical support for existing reports, dashboards, or other tools.
  • Providing reports through office applications to improve business processes.
  • Analyzing competitive market strategies through analysis of related products and markets.
  • Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
  • Managing timely flow of business intelligence information to users.
  • Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.
View full posting on CareerOneStop → ID: c9796bdbf9c0
Business Intelligence Analyst
WPS Online, LLC · Bothell, WA
Mid-level Master's
2026-04-30
Requirements
  • Other majors/fields of study required include MS in management of technology, MBA, MS in Computer Science.
  • 3 months related experience that must include working knowledge of database management programming languages such as sql, sqlplus and experience with software such as WeChat Work, WeChat, Line, Douyin, ClassIn, Fanqiezhujiao.
  • This position includes travel to China, Taiwan, and South Korea. Expected to travel approximately 30% of the time.
  • Send your resume to HR at 1617 183rd St SE Bothell, WA 98012.
Responsibilities
  • Creating business intelligence tools or systems, including design of related databases, spread sheets or outputs.
  • Providing technical support for existing reports, dashboards, or other tools.
  • Providing reports through office applications to improve business processes.
  • Analyzing competitive market strategies through analysis of related products and markets.
  • Collecting business intelligence data from available industry reports, public information, field reports or purchased sources.
  • Managing timely flow of business intelligence information to users.
  • Analyzing the company's business, specifically online business to assist in determining methods for calculating commissions from online sales/customers.
View full posting on CareerOneStop → ID: 673739589259
Healthcare Data Analyst
COMAGINE HEALTH · Seattle, WA
Mid-level Master's
2026-04-30
Requirements
  • []{style="font-family: Arial, Helvetica, sans-se
Education
  • Bachelor's degree (BA/BS) in a relevant field
  • Master's degree (MA/MS) preferred
View full posting on CareerOneStop → ID: 02d1175bb024
Healthcare Data Analyst
COMAGINE HEALTH · Murray, UT
Mid-level
2026-04-30
View full posting on CareerOneStop → ID: 1dab6678df9a
OCHIN EPIC FINANCIAL DATA ANALYST
Sioux Land Community Health · Sioux City, IA
Mid-level
2026-04-30
View full posting on CareerOneStop → ID: eeb143efa47c
Business Intelligence Insights Analyst
ManpowerGroup · Milwaukee, WI
Mid-level
2026-04-30
View full posting on CareerOneStop → ID: 61c71cbd4395
Data Analyst Student Employee
Auburn University · Auburn, AL
Mid-level
2026-04-30
View full posting on CareerOneStop → ID: 6f81b2d5d41f
Business Intelligence Analyst 1
Chegg Inc. · Frankfort, KY
Mid-level
2026-04-30
View full posting on CareerOneStop → ID: 63de2fdeeaaf
Business Intelligence Analyst 1
Chegg Inc. · Malta, MT
Mid-level
2026-04-30
View full posting on CareerOneStop → ID: 02be2c0cb775
Business Intelligence Engineer, Amazon Music DISCO
Amazon · Seattle, WA
Mid-level
2026-04-29
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Lead analytics and insights efforts for the marketing attribution project for Amazon Music.
  • Work as the internal lead analytics consultant for marketing teams and collaborate on long-term strategy together.
  • Define and deliver reporting and visualization that supports the analytical needs of internal business leaders.
  • Drive self-service solutions for senior business stakeholders informing marketing investment decisions.
  • Use analytical insights to help increase business and team effectiveness against key strategic goals.
  • Build a thorough understanding of the streaming music industry, the subscription business model, and key internal partners across Prime, Amazon devices, media and entertainment businesses.
  • Partner with analytics and science teams across Amazon entertainment and subscription businesses.
  • Evangelize analytics, insights, and measurement across internal teams by writing whitepapers, knowledge documentation and delivering learning sessions.
View full posting on CareerOneStop → ID: 04373d7c93a5
Business Intelligence Engineer, ASP BI
Amazon · Seattle, WA
Mid-level Master's
2026-04-29
Requirements
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)
  • Familiarity with Agentic AI concepts, LLMs, or Generative AI tooling in a BI context
Preferred
  • Master's degree, or Advanced technical degree
  • Knowledge of data modeling and data pipeline design
  • Experience with statistical analysis, co-relation analysis
  • Experience working in a Sales Operations analytics environment
Responsibilities
  • Explore and learn the latest AWS technologies and contribute to the team's Agentic reporting development initiatives.
  • Implement data pipelines from disparate sources to ingest, transform, and store data in a scalable format that other BI builders can leverage for similar metrics.
  • Gather and understand data requirements by working with cross-functional teams to achieve high-quality and scalable data solutions for our products and mechanisms.
  • Dive deep into requirements to unearth optimal reporting design (e.g., key dimensions, broadest reporting audience, scalability) with Operations leads and drive constructive technical discussions.
  • Build end-to-end BI solutions, from data sourcing through visualization and enablement.
  • Determine data lineage to understand the chain of custody and transformation of data, and build enablement material that scales the impact of your solutions.
  • Create interactive data visuals with QuickSight, and other AWS-native visualization tools.
  • Contribute to the curation and maintenance of centralized knowledge repositories and sources of truth for Partner metrics.
  • Support Executive Reporting (Organizational Level 1-4) including in-depth analyses and standardized reporting sources for ASP LT, SMGS LT, and S-Team reporting.
  • Participate in causation/correlation research ("finding the Why") to provide proactive insight into trends, churn drivers, and actionable levers.
  • You will build scalable reporting artifacts used across the ASP Partner Organization, partnering with Line of Business BI Teams to tell the Partner ecosystem story. You will create trusted data artifacts and Agentic flows, act as an SME on top-line metric drivers, and communicate actionable insights to both technical and non-technical stakeholders. You will contribute to Agentic reporting development, knowledge curation, and causation research - building reporting that is transparent, precise, and tailored for the personas who consume it.
View full posting on CareerOneStop → ID: c39b5d5806ac
Business Intelligence Engineer, WHS Data
Amazon · Bellevue, WA
Mid-level Bachelor's
2026-04-29
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 Analyst
WaveDivision Holdings LLC · Bellingham, WA
Mid-level
2026-04-29

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

View full posting on CareerOneStop → ID: 4a09189c2635
Data Analyst/IT System Support-Hybrid Work Model
Arapahoe County Government · Aurora, CO
Mid-level
2026-04-29
View full posting on CareerOneStop → ID: ae6aafad35a0
Data Analyst II - LMD Fraud Prevention
Walmart · Bentonville, AR
Mid-level
2026-04-29
View full posting on CareerOneStop → ID: 38beb2d90b80
Business Intelligence Engineer, Amazon Games
Amazon · Seattle, WA
Mid-level
2026-04-28
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 3+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 3+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience writing complex SQL queries
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Experience in Games Industry (supporting title Development, Release, or Live Ops)
Responsibilities
  • Own the end-to-end analytics framework for our game portfolio, including defining KPIs, building automated ETL processes, and creating dashboards that enable data-driven decision making
  • Partner with game development teams to design and instrument telemetry, ensuring comprehensive and reliable data capture that supports analytics, reporting, and product decisions
  • Conduct deep-dive analyses on player behavior and translate findings into actionable recommendations for game teams and leadership
  • Build and maintain reporting mechanisms for internal and external partnerships across game development, platforms, marketing, and distribution
  • Develop self-service reporting tools and documentation that enable stakeholders to independently access and interpret data
  • Communicate findings and recommendations to both technical and non-technical audiences, including leadership, through written documents and presentations
  • Evaluate and adopt new technologies and methodologies to continuously improve the analytics platform and team capabilities
View full posting on CareerOneStop → ID: 483e314e2ef2
Financial Data Analyst
U.S. Bank · Earth City, MO
Mid-level
2026-04-28
View full posting on CareerOneStop → ID: a3b1cd1ecbd4
Data Analyst
Robert Half · New Orleans, LA
Mid-level
2026-04-28
View full posting on CareerOneStop → ID: 9027d9916829
Business Intelligence Engineer, Private Brands Finance
Amazon · Seattle, WA
Mid-level
2026-04-25
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Experience using Python scripting to process data for modeling
Responsibilities
  • Own the architecture and development of scalable, reliable data pipelines and reporting infrastructure that support APB Finance's multi-dimensional P&L
  • Lead the design and delivery of self-service analytics tools and dashboards, enabling 200+ stakeholders to independently access and act on financial data
  • Drive deep-dive analyses on profitability drivers, cost structures, and category performance to inform strategic investment decisions
  • Partner with and influence senior Finance, Supply Chain, and Category leaders - proactively identifying analytical opportunities and translating business questions into data solutions
  • Lead and scope Gen-AI agent builds and automation projects that improve reporting efficiency and reduce manual effort across the finance organization
  • Support strategic planning cycles (OP1/OP2) with data modeling, scenario analysis, and performance benchmarking
  • Establish and champion best practices for data quality, pipeline reliability, and documentation standards
View full posting on CareerOneStop → ID: 269368f91544
Data Analyst - Power BI Developer
Capgemini · Bellevue, WA
Mid-level
2026-04-25
Requirements
  • Stronghands-on experience with Power BI , including dashboard design,report development, and workspace management.
  • Provenexpertise in data modeling (star schema, fact/dimensionmodeling, performance optimization).
  • Advancedproficiency in DAX for measures, time intelligence, andcomplex calculations.
  • Strong SQLskills , including writing complex queries, joins, aggregations, andperformance optimization.
  • Experienceanalyzing datasets and translating data insights into clear, business-friendlynarratives.
  • Abilityto translate business requirements into technical BI solutions withminimal guidance.
  • Excellentcommunication skills, with the ability to collaborate effectively withtechnical and non-technical stakeholders.
Preferred
  • Experienceworking with enterprise or centralized semantic models.
  • Familiaritywith data governance, security, and access controls in Power BI.
  • Experiencewith large-scale or enterprise BI reporting environments.
  • Exposureto Azure data services (e.g., Azure SQL, Azure Synapse, Data Lake) is aplus.
  • Strongdocumentation and presentation skills for executive or leadershipaudiences.
  • *Life atSogeti: Sogeti
  • supports all aspects of your well-being throughout the changing stages of you
  • life and career. For eligible employees, we offer:
  • Flexiblework options
  • 401(k)with 150% match up to 6%
  • EmployeeShare Ownership Plan
  • Medical,Prescription, Dental & Vision Insurance
  • 100%Company-Paid Mobile Phone Plan
  • 3 WeeksPTO + 7 Paid Holidays
  • PaidParental Leave
  • Adoption,Surrogacy & Cryopreservation Assistance
  • SubsidizedBack-up Child/Elder Care & Tutoring
  • CareerPlanning & Coaching
  • $5,250Tuition Reimbursement & 20,000+ Online Courses
  • EmployeeResource Groups
  • Counseling& Support for Physical, Financial, Emotional & SpiritualWell-being
  • DisasterRelief Programs
  • the Capgemini Group, Sogeti makes business value through technology fo
  • organizations that need to implement innovation at speed and want a local
  • partner with global scale. With a hands-on culture and close proximity to
  • its clients, Sogeti implements solutions that will help organizations work
  • faster, better, and smarter. By combining its agility and speed of
  • implementation through a DevOps approach, Sogeti delivers innovative solutions
  • in quality engineering, cloud and application development, all driven by AI,
  • data and automation.
  • Your Best | www.sogeti.us
Responsibilities
  • are seeking a highly skilled Data Analyst (Power BI Developer) to
  • design, build, and maintain advanced Power BI dashboards that delive
  • actionable insights to business stakeholders. This role requires strong
  • expertise in data modeling, DAX, and SQL, along with the ability to translate
  • complex business requirements into scalable and intuitive BI solutions. The
  • ideal candidate is analytical, detail-oriented, and comfortable working closely
  • with business, engineering, and analytics partners to drive data-informed
  • decision-making.
  • Design,develop, and maintain advanced Power BI dashboards and reports thatprovide accurate, timely, and actionable insights to stakeholders.
  • Buildand optimize semantic data models to support scalable,consistent, and high-performing BI solutions.
  • Write,optimize, and maintain DAX measures and calculated columns tosupport complex business logic and KPIs.
  • Analyzelarge and complex datasets to identify trends, patterns, risks, andopportunities.
  • Partnerwith business stakeholders to understand requirements , define KPIs,and translate needs into effective BI solutions.
  • Developand maintain SQL queries and views to extract, transform, andanalyze data from multiple data sources.
  • Ensuredata accuracy, integrity, and consistency across reports and dashboards.
  • Supportongoing dashboard enhancements, performance tuning, and user adoption.
  • Documentdata models, business logic, KPIs, and report definitions to supportgovernance and reuse.
View full posting on CareerOneStop → ID: a075aadeeb8b
Healthcare Data Analyst II
Premera Blue Cross · Mountlake Terrace, WA
Mid-level Bachelor's
2026-04-25
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
Radiochemical Data Analyst (Post Doctoral Researcher)
Los Alamos National Laboratory · Los Alamos, NM
Mid-level
2026-04-25
View full posting on CareerOneStop → ID: d66b56cd53d8
GT Data Analyst
Consolidated Electrical Distributors · Omaha, NE
Mid-level
2026-04-25
View full posting on CareerOneStop → ID: 1a82230dc4fa
Business Intelligence Engineer, Customer Behavior Analytics
Amazon · Seattle, WA
Mid-level
2026-04-24
Requirements
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
  • Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
  • Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
View full posting on CareerOneStop → ID: 377c9b3554de
Data Analyst, RCX
Amazon · Bellevue, WA
Mid-level Bachelor's
2026-04-24
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
DATA ANALYTICS SPECIALIST
Army National Guard Units · Camp Murray, WA
Mid-level Bachelor's
2026-04-24

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

View full posting on CareerOneStop → ID: 3796816486c0
Assistant Professor, Data Analytics and Mathematics Career Track Teaching
Washington State University · Pullman, WA
Mid-level
2026-04-24
Responsibilities
  • *The Opportunity:
  • The Program in Data Analytics and the Department of Mathematics and Statistics at Washington State University (WSU) invites applications for an Assistant Professor (Teaching), career-track faculty position in Everett, WA, with a specialty in Data Analytics and Mathematics. This is a fixed-term, 9-month, 3-year appointment with the possibility of renewal. It is anticipated the successful candidate will begin the appointment on August 16, 2026.
  • We seek applicants with expertise in Data Science and Analytics who can contribute to instruction in data analytics and foundational applied mathematics. Relevant areas of expertise include data structures, artificial intelligence and machine learning, data mining, databases, data modeling, data ethics, corporate or business analytics, as well as applied and discrete mathematics areas that support data analytics, such as algebraic and quantitative reasoning, discrete structures, and mathematical foundations for business and data applications. The successful candidate will be expected to teach undergraduate courses for the Data Analytics program and the Department of Mathematics and Statistics, create curriculum innovation, and work with us to continue to develop and expand the Data Analytics program at WSU.
  • The responsibilities of the position are teaching and programmatic development (80%) and service to the program, department, college, university, community, and profession (20%). The successful candidate will be expected to teach courses within the Data Analytics undergraduate program. In addition, the successful candidate will w
View full posting on CareerOneStop → ID: 8b7c3956b881
Business Intel Engineer II, ORBIT
Amazon · Bellevue, WA
Mid-level
2026-04-23
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Responsibilities
  • Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
  • Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
  • Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
  • Lead and develop a team of Business Intelligence Engineers and Business Analysts
  • Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
  • Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation
  • Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
View full posting on CareerOneStop → ID: 7e38e4946e01
Customer Remediation Quality Control Data Analyst - Consumer & Business Banking Risk
U.S. Bank · Gresham, OR
Mid-level Bachelor's
2026-04-23
Requirements
  • Seven to ten years of applicable experience
  • Bachelor's degree or equivalent work experience
Preferred
  • SQL/SAS coding experience
  • Five years of experience with bank systems
  • Five years in a reporting, analytics, or technology environment
  • Strong problem-solving, process facilitation, project management, and analytical skills
  • Excellent interpersonal, written, and verbal communication skills
  • Considerable knowledge of applicable laws, regulations, financial services, and regulatory trends that impact CBB
  • Advanced understanding of CBB products, services, systems, and associated risks/controls, as well as supporting operational functions
  • Python experience
  • Advanced Excel computer skills and database knowledge
  • Experience with SharePoint or TEAMS
  • Comfortable working in a team environment with layers of required review/approval
  • Ability to work in a fast-paced environment with large workloads
Responsibilities
  • The Customer Remediation Data Analyst in Consumer & Business Banking (CBB) Risk will participate in projects that require quality control, research, data compilation and analysis to ensure compliance with the bank's Customer Remediation Policy. The Analyst should have experience and a thorough understanding of the front-end systems (e.g. Hogan, CA-View, Fusion, Common Transactions, Safe Box Inquiry, Net-O, MSP, CACS, Doc Velocity) for the various business line processes.
  • Customer Remediation Support: The CBB Risk Data Team supports issue and business line management with research, data analysis, documentation and execution
  • Credible Challenge: The CBB Risk Data Team accepts ownership of the data used within all CBB customer remediation events. This includes confirmation to front line systems for any data created internally or obtained from an external source and verification of any component required during validation.
  • Maintain awareness of bank, regulatory, and industry changes and trends
  • Responsibilities may also include contributing to CBB Risk Data Team projects or project implementation
  • Perform other duties as assigned
View full posting on CareerOneStop → ID: 644a4fc9cc09
Customer Remediation Quality Control Data Analyst - Consumer & Business Banking Risk
U.S. Bank · Fargo, ND
Mid-level
2026-04-23
View full posting on CareerOneStop → ID: d3f94b9d85f6
Customer Remediation Quality Control Data Analyst - Consumer & Business Banking Risk
U.S. Bank · Overland Park, KS
Mid-level
2026-04-23
View full posting on CareerOneStop → ID: cda3a1432f54
Customer Remediation Quality Control Data Analyst - Consumer & Business Banking Risk
U.S. Bank · Earth City, MO
Mid-level
2026-04-23
View full posting on CareerOneStop → ID: 7b8bdd0f676f
Customer Remediation Quality Control Data Analyst - Consumer & Business Banking Risk
U.S. Bank · Owensboro, KY
Mid-level
2026-04-23
View full posting on CareerOneStop → ID: c72b4ac9eba5
Data Analyst 3 - Insights Enablement Hub (Hybrid - Seattle, WA)
Nordstrom · Seattle, WA
Mid-level
2026-04-22
Responsibilities
  • Nordstrom is reinventing the retail industry through the power of data and artificial intelligence. The vision for Data Science & Analytics at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by being relevant to the customer through an application of insight and prediction to outcomes.
  • The Data Analyst 3 role on the Insights Enablement Hub team is responsible for collecting, analyzing and presenting data to improve decision making and enable data-driven outcomes across the organization. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data. They should be able to communicate those insights in a way that builds confidence and enables decisions that drive business value.
  • We are part of Nordstrom's Insights Delivery organization, and the Insights Enablement Hub (IEH) team is at the center of enabling analytics at scale across the enterprise. Our focus areas include BI Transformation (migrating from legacy platforms to Looker), Looker platform enablement, Conversational Analytics, and Looker Studio Pro. We build data products, provide analytics consulting, and partner with teams across the business to accelerate the adoption of modern, self-service analytics. We work at the intersection of data engineering and analytics delivery with a passion for enabling data-driven decision making and a devotion to advanced techniques, along with a creative team spirit!
  • The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. We welcome your curiosity about the business, your passion to unlock rich, nuanced insights from complicated data and the desire to communicate those insights in a way that drives positive business outcomes.
  • Partner with key stakeholders to define success and develop measurement frameworks.
  • Dive deep into complex business problems and provide insights on business vertical performance through hypothesis testing.
  • Responsible for delivering a suite of analytical products include analyses, dashboards, insights, and recommendations.
  • Present the results to the stakeholders up to executive level and guide them to make the best use of analytics in their domain.
  • Find opportunities to use data to develop new strategies and improve overall performance.
  • Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners to drive outcomes.
  • Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise.
  • Reconcile divergent demands from multiple stakeholders in a fast-paced work environment.
  • Collect, analyze, and interpret data to support BI platform enablement, dashboard development, and Looker adoption across business teams.
  • Actively collaborate to apply learning to other channels/campaigns/products/business units.
  • You own this if you have...
  • Experience developing in Looker using LookML, including building Explores, views, derived tables, and dashboard content in a production Looker environment.
  • 5+ years of professional experience analyzing data, drawing conclusions and making recommendations.
  • Strong coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data.
  • 3+ years of experience extracting & manipulating large data sets from relational databases using SQL (BigQuery preferred; experience with other platforms such as Redshift, Oracle, or Teradata also valued).
  • Strong proficiency with advanced BI and visualization tools, including Looker (Looker Core, LookML, Looker Studio Pro), and familiarity with other platforms such as Tableau, Data Studio, or similar.
  • Clear and effective written/verbal communication and strong interpersonal skills.
  • Ability to develop strong, synergistic relationships with a multitude of teams and personnel
  • Strong problem solving skills:
  • Plan out the priority order of tasks
  • Make smart decisions regarding trade-offs.
  • You'll love this Job If You
  • ...are a self-directed individual who operates with passion, urgency, focus, and discipline... put simply, you get-stuff-done.
  • ...have problem solving skills that are unparalleled...you are scrappy and resourceful
  • ...are an adaptable team player. You will enthusiastically take on other assignments as needed to support your team!
  • ...are detailed-oriented with a knack for precision and accuracy in numbers and analyses.
  • ...are someone who appreciates diversity in all its forms
  • ...are someone who appreciates a company that values and encourages work-life balance.
  • We've got you covered...
  • Our employees are our most important asset and that's reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
  • Medical/Vision, Dental, Retirement and Paid Time Away
View full posting on CareerOneStop → ID: 55c7ad4cc0f7
Business Intelligence Analyst
University of Utah · Salt Lake City, UT
Mid-level
2026-04-22
View full posting on CareerOneStop → ID: 4d687cd64f94
Data Analyst
Our Community Credit Union · Shelton, WA
Mid-level Bachelor's
2026-04-21
Requirements
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a related field, or equivalent experience
  • 3 to 5 years of experience in data analytics, data engineering, or database management
Responsibilities
  • As a Data Analyst, you'll partner with teams like Lending, Marketing, Finance, Compliance, and IT to understand what matters most to the team, define the right metrics, and deliver reporting and analysis that drives action. Success in this role requires a proactive communication style, including asking thoughtful questions, confirming requirements, and sharing clear updates as work progresses. You'll create and maintain dashboards, perform ad hoc analysis, and help leaders understand trends in member, product, and operational performance.
  • This role also plays an important part in ensuring report accuracy and consistency- validating data, documenting definitions and logic, and working with IT to resolve data issues. You'll handle sensitive financial and member information with care and help improve data accessibility and reporting efficiency across the organization.
  • Design, develop, and maintain dashboards and reports to support business operations and strategic initiatives
  • Analyze member, product, and operational data to identify trends and opportunities for growth
  • Partner with stakeholders to translate business needs into meaningful analytics and reporting solutions
  • Provide strategic and actionable recommendations to optimize revenue, control expenses, and improve the member experience
  • Conduct data validation, reconciliation, and quality checks to ensure reporting accuracy
  • Investigate and resolve data inconsistencies in collaboration with IT and business teams
  • Document reporting logic, data sources, and methodologies for transparency and repeatability
  • Build and maintain SQL queries, scripts, data models, and ETL processes to enable reliable reporting and analysis
  • Support secure handling of sensitive financial and member data, including appropriate access management
  • Identify opportunities to improve processes, reporting efficiency, and data accessibility
  • *We're Seeking Someone Who Is:
  • Curious and analytical, with a strong logical approach to turning complex questions into clear metrics and insights
  • A problem-solver who can break down ambiguity, identify root causes, and propose practical next steps
  • Collaborative, open, and trustworthy, comfortable partnering within and across teams and sharing knowledge
  • Detail-oriented and committed to accuracy, consistency, and documentation
  • A proactive communicator, providing clear updates and surfacing risks, dependencies, or data limitations early
  • Service-minded, embracing our "people helping people" philosophy in day-to-day work by supporting colleagues and keeping the member impact at the center of analysis
View full posting on CareerOneStop → ID: 20e75152689e
Market Research/Data Analyst
Eliassen Group · Olympia, WA
Mid-level Master's
2026-04-21
Requirements
  • 2 to 5 years of experience in an applied research setting.
  • Proficiency with PowerPoint, SPSS or DisplayR, and Qualtrics.
  • Experience synthesizing data into actionable insights for communications or business decision-making.
  • Background in consumer and social research methodologies.
  • Ability to operate effectively in a preferred hybrid setting in Washington, DC, or fully remote.
  • Capability to provide a writing sample that demonstrates research communication.
Education
  • Bachelor's degree required in Social Science, Marketing Research, or a related field.
  • Master's degree preferred in Social Science, Marketing Research, or a related field.
  • *_Recruitment Transparency Notice_
  • *_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
  • _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
Responsibilities
  • Develop and write small-scale surveys, screeners, and interview guides.
  • Manage vendor deliverables by maintaining research files, performing quality checks, and tracking timelines.
  • Conduct statistical analyses using SPSS and other analytic packages.
  • Create reports and presentations, including charts and tables, using Excel and PowerPoint.
  • Verify accuracy of data and assure the quality of research reports through cross-referencing.
  • Compile, synthesize, and analyze secondary research from syndicated sources for internal sharing.
  • Collaborate across the research team on ad hoc data requests and support fast-moving projects.
View full posting on CareerOneStop → ID: b2a060b7a207
Market Research/Data Analyst
Eliassen Group · Boise, ID
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: d4064dcc53c7
Market Research/Data Analyst
Eliassen Group · Salem, OR
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: b25de523c188
Market Research/Data Analyst
Eliassen Group · Helena, MT
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: 3d519fd188a0
Market Research/Data Analyst
Eliassen Group · Cheyenne, WY
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: c4b1679449ac
Market Research/Data Analyst
Eliassen Group · Salt Lake City, UT
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: ab7370bf025c
Market Research/Data Analyst
Eliassen Group · Carson City, NV
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: 685a42ae3591
Market Research/Data Analyst
Eliassen Group · Bismarck, ND
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: d6eb47f8f28d
Data Analyst
Insight Global · Sioux Falls, SD
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: b94a324c4086
Market Research/Data Analyst
Eliassen Group · Pierre, SD
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: 12f85c129a25
Market Research/Data Analyst
Eliassen Group · Santa Fe, NM
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: a0cf0a5ba320
Market Research/Data Analyst
Eliassen Group · Lincoln, NE
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: 1712bc496fc6
Market Research/Data Analyst
Eliassen Group · Topeka, KS
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: 5a9bd4fd9cb3
Market Research/Data Analyst
Eliassen Group · Oklahoma City, OK
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: d54c3983117a
Market Research/Data Analyst
Eliassen Group · Des Moines, IA
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: c57ec7dd38fd
Market Research/Data Analyst
Eliassen Group · Little Rock, AR
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: c2bebf58c07e
Market Research/Data Analyst
Eliassen Group · Baton Rouge, LA
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: 247b096fab59
Market Research/Data Analyst
Eliassen Group · Jackson, MS
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: b5fa3e92483a
Market Research/Data Analyst
Eliassen Group · Montgomery, AL
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: accf4449aa0d
Market Research/Data Analyst
Eliassen Group · Frankfort, KY
Mid-level
2026-04-21
View full posting on CareerOneStop → ID: 96d944818db3
Business Intelligence Analyst
University of Utah · Salt Lake City, UT
Mid-level
2026-04-20
View full posting on CareerOneStop → ID: c4d59339451f
Data Analyst
Insight Global · Oklahoma City, OK
Mid-level
2026-04-18
View full posting on CareerOneStop → ID: 340e8d50ed9c
Scientific Software Data Analyst
General Dynamics Information Technology · Stennis Space Center, MS
Mid-level
2026-04-18
View full posting on CareerOneStop → ID: 1c1d40797973
Business Intelligence Analyst (Salesforce)
Princeton University · Alabama
Mid-level
2026-04-18
View full posting on CareerOneStop → ID: d9917870b025
Enterprise Business Intelligence Analyst
Aegis Therapies Inc · Fort Smith, AR
Mid-level
2026-04-17
View full posting on CareerOneStop → ID: 326a4f8c147c
Data Analyst
Consolidated Electrical Distributors · Omaha, NE
Mid-level
2026-04-16
View full posting on CareerOneStop → ID: f8cf5ea02d83
Data Analytics Engineer - Power BI
Robert Half · Ankeny, IA
Mid-level
2026-04-15
View full posting on CareerOneStop → ID: bddb840d4eab
Manufacturing Data Analytics Engineer
RTX Corporation · Cedar Rapids, IA
Mid-level
2026-04-15
View full posting on CareerOneStop → ID: 7c99a58d4d9b
Business Intelligence Engineer II, Amazon Key
Amazon · Bellevue, WA
Mid-level
2026-04-14
View full posting on CareerOneStop → ID: f1c227e63232
Distribution Data Analyst - Onsite - Winfield, KS
Newell Brands · Winfield, KS
Mid-level
2026-04-14
View full posting on CareerOneStop → ID: 071e54f04180
Business Intelligence Engineer
CenterWell · Boise, ID
Mid-level
2026-04-14
View full posting on CareerOneStop → ID: e205ce6c5191
Business Intelligence Engineer
CenterWell · Salem, OR
Mid-level
2026-04-14
View full posting on CareerOneStop → ID: e6e7be046378
Business Intelligence Engineer
CenterWell · Helena, MT
Mid-level
2026-04-14
View full posting on CareerOneStop → ID: 37d09d1a041e
Data Analyst 2
Bucher & Christian Consulting, Inc. dba BCforward (BCF) · Redmond, WA
Mid-level
2026-04-12
View full posting on CareerOneStop → ID: a478abd69544
Forecasting Data Analyst
ProAmpac Holdings, Inc. · Redmond, WA
Mid-level
2026-04-11
View full posting on CareerOneStop → ID: fc26600c7510
Business Intelligence Engineer, Leo Global Customer Operations
Amazon · Bellevue, WA
Mid-level
2026-04-10
View full posting on CareerOneStop → ID: 9bdba4919c21
Business Intelligence Engineer, R2L Analytics
Amazon · Bellevue, WA
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: 4b9825c9ecdc
Business Intelligence Analyst 1
Chegg Inc. · Olympia, WA
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: f848b0de73f1
Risk Adjustment Data Analyst
Datavant · Olympia, WA
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: c4d351dd8437
Business Intelligence Solutions Developer - Health Plan
St. Luke's Health System · Boise, ID
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: a544161251f8
Risk Adjustment Data Analyst
Datavant · Boise, ID
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: 0824c59f39f8
Risk Adjustment Data Analyst
Datavant · Salem, OR
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: e8ecb0ee2a33
Risk Adjustment Data Analyst
Datavant · Helena, MT
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: f1e45225c512
Risk Adjustment Data Analyst
Datavant · Cheyenne, WY
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: d81717b1e7c3
Risk Adjustment Data Analyst
Datavant · Carson City, NV
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: 01c2a06c95ea
Risk Adjustment Data Analyst
Datavant · Bismarck, ND
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: e52d2e6e126f
Risk Adjustment Data Analyst
Datavant · Pierre, SD
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: a2a09522c0f6
Risk Adjustment Data Analyst
Datavant · Santa Fe, NM
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: e21bec5f4124
Risk Adjustment Data Analyst
Datavant · Lincoln, NE
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: ef03fc22b495
Risk Adjustment Data Analyst
Datavant · Topeka, KS
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: 97c7e979e053
Risk Adjustment Data Analyst
Datavant · Oklahoma City, OK
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: 1809cf60550d
Risk Adjustment Data Analyst
Datavant · Little Rock, AR
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: 9b8dc1e1d1b4
Risk Adjustment Data Analyst
Datavant · Baton Rouge, LA
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: 64d9826bdb8b
Risk Adjustment Data Analyst
Datavant · Jackson, MS
Mid-level
2026-04-09
View full posting on CareerOneStop → ID: 13f17302688d
Business Intelligence Engineer, WW Returns and ReCommerce
Amazon · Bellevue, WA
Mid-level
2026-04-01
View full posting on CareerOneStop → ID: a74c865da866
Business Intelligence Developer
ArcBest · Fort Smith, AR
Mid-level
2026-04-01
View full posting on CareerOneStop → ID: 0c6d5bc86138
Data Analyst - IT
Procter & Gamble · Pineville, LA
Mid-level
2026-04-01
View full posting on CareerOneStop → ID: 308787eae5ee
Games Data Analyst
Insight Global · Redmond, WA
Mid-level
2026-03-27
View full posting on CareerOneStop → ID: 9c75f28c5384
Software Development Engineer, Open Data Analytics - Engines
Amazon · Redmond, WA
Mid-level
2026-03-27
View full posting on CareerOneStop → ID: 2e2e35d381d2
Games Data Analyst
Insight Global · Redmond, WA
Mid-level
2026-03-20
View full posting on CareerOneStop → ID: cec850feb41f
Business Intelligence Engineer (II), Fulfillment Optimization
Amazon · Bellevue, WA
Mid-level
2026-03-12
View full posting on CareerOneStop → ID: 327ab45b7e7f
Data Analyst, Sales Operations
SanMar · Issaquah, WA
Mid-level
2026-03-08
View full posting on CareerOneStop → ID: fd1533240c63
Assistant Professor, Data Analytics and Mathematics Career Track Teaching
Washington State University · Pullman, WA
Mid-level
2026-03-07
View full posting on CareerOneStop → ID: 43ba3abfb78c
Data Analyst
Cribl, Inc · Olympia, WA
Mid-level
2026-03-04
View full posting on CareerOneStop → ID: ddbf9ff0d8ab
Data Analyst -III
Spectraforce Technologies Inc. · Bellevue, WA
Mid-level
2026-02-26
View full posting on CareerOneStop → ID: e12258fc7a30
Business Intelligence Analyst 3
St. Luke's Health System · Boise, ID
Mid-level
2026-02-24
View full posting on CareerOneStop → ID: 70aa2c595ee1
Registered Nurse- Clinical Data Analyst Trauma Services/Spine and Joint (FT- 1.0 FTE, Day Shift)
Bozeman Health · Bozeman, MT
Mid-level
2026-02-24
View full posting on CareerOneStop → ID: 4c4811ab6160
Data Analyst - Nuclear Fuel Manufacturing
Framatome · Richland, WA
Mid-level
2026-02-20
View full posting on CareerOneStop → ID: de1fa7e65375
Space Physics Instrumentation and Data Analysis Postdoctoral Researcher
Los Alamos National Laboratory · Los Alamos, NM
Mid-level
2026-02-14
View full posting on CareerOneStop → ID: a537c560e3c9
Branch Operations Data Analytics Developer
U.S. Bank · Gresham, OR
Mid-level
2026-02-06
View full posting on CareerOneStop → ID: bc42a1b73eaf
Branch Operations Data Analytics Developer
U.S. Bank · Fargo, ND
Mid-level
2026-02-06
View full posting on CareerOneStop → ID: 5e65e02bd6c7
Business Intelligence Solutions Developer 3
St. Luke's Health System · Boise, ID
Mid-level
2026-02-03
View full posting on CareerOneStop → ID: 4ada8f4e5d14
Business Intelligence Data Analyst
Insight Global · Beaverton, OR
Mid-level
2026-01-31
View full posting on CareerOneStop → ID: 7dca6c128ea0
Payor Data Analyst- Remote
Sharecare · Olympia, WA
Mid-level
2026-01-24
View full posting on CareerOneStop → ID: 362b7b0e530c
Payor Data Analyst- Remote
Sharecare · Boise, ID
Mid-level
2026-01-24
View full posting on CareerOneStop → ID: 1080509ac5fd
Payor Data Analyst- Remote
Sharecare · Salem, OR
Mid-level
2026-01-24
View full posting on CareerOneStop → ID: 047f7415b421
Payor Data Analyst- Remote
Sharecare · Helena, MT
Mid-level
2026-01-24
View full posting on CareerOneStop → ID: dce116c2ffd5
Payor Data Analyst- Remote
Sharecare · Cheyenne, WY
Mid-level
2026-01-24
View full posting on CareerOneStop → ID: 7e23a683473c
Payor Data Analyst- Remote
Sharecare · Bismarck, ND
Mid-level
2026-01-24
View full posting on CareerOneStop → ID: 45057d8d2ba0
Payor Data Analyst- Remote
Sharecare · Pierre, SD
Mid-level
2026-01-24
View full posting on CareerOneStop → ID: 558bd38a6722
Payor Data Analyst- Remote
Sharecare · Santa Fe, NM
Mid-level
2026-01-24
View full posting on CareerOneStop → ID: efb6f161a4de
Payor Data Analyst- Remote
Sharecare · Lincoln, NE
Mid-level
2026-01-24
View full posting on CareerOneStop → ID: c32da53b78a4
Data Analyst, Supply Chain (Starlink)
SpaceX · Redmond, WA
Mid-level
2025-12-11
View full posting on CareerOneStop → ID: c243d0ecadf6
Data Analytics Consultant
US Tech Solutions · Kirkland, WA
Mid-level
2024-10-09
View full posting on CareerOneStop → ID: 1626e7c0e6fe
Source: CareerOneStop (U.S. DOL) · Search more jobs