Skip to main content

Business Intelligence Analysts

15-2051.01 Bright Outlook $158K
384
postings
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 & Sales Enablement Lead
Humana · Olympia, WA
Senior Master's
2026-06-04
Requirements
  • Bachelor's Degree
  • 7+ years in Project Management, Process management or Business transformation.
  • 5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
  • CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
  • CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
  • Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
  • Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
  • Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
  • WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
  • A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
  • Satellite and Wireless Internet service is NOT allowed for this role.
  • A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Responsibilities
  • *CRM Strategy & Optimization
  • Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
  • Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
  • Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
  • Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
  • *Content Management & Strategy
  • Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
  • Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
  • Lead vendor management and stewardship engagement with our enablement vendors to
  • Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
  • Support Strategic Sales enablement activities as needed.
  • Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
  • Partner with leadership on key transformation activities as needed.
  • Position could Lead 1 or 2 associates.
Business Intelligence & Sales Enablement Lead
Humana · Boise, ID
Senior Master's
2026-06-04
Requirements
  • Bachelor's Degree
  • 7+ years in Project Management, Process management or Business transformation.
  • 5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
  • CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
  • CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
  • Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
  • Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
  • Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
  • WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
  • A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
  • Satellite and Wireless Internet service is NOT allowed for this role.
  • A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Responsibilities
  • *CRM Strategy & Optimization
  • Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
  • Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
  • Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
  • Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
  • *Content Management & Strategy
  • Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
  • Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
  • Lead vendor management and stewardship engagement with our enablement vendors to
  • Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
  • Support Strategic Sales enablement activities as needed.
  • Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
  • Partner with leadership on key transformation activities as needed.
  • Position could Lead 1 or 2 associates.
Business Intelligence & Sales Enablement Lead
Humana · Salem, OR
Senior Master's
2026-06-04
Requirements
  • Bachelor's Degree
  • 7+ years in Project Management, Process management or Business transformation.
  • 5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
  • CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
  • CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
  • Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
  • Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
  • Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
  • WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
  • A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
  • Satellite and Wireless Internet service is NOT allowed for this role.
  • A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Responsibilities
  • *CRM Strategy & Optimization
  • Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
  • Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
  • Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
  • Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
  • *Content Management & Strategy
  • Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
  • Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
  • Lead vendor management and stewardship engagement with our enablement vendors to
  • Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
  • Support Strategic Sales enablement activities as needed.
  • Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
  • Partner with leadership on key transformation activities as needed.
  • Position could Lead 1 or 2 associates.
Business Intelligence & Sales Enablement Lead
Humana · Helena, MT
Senior Master's
2026-06-04
Requirements
  • Bachelor's Degree
  • 7+ years in Project Management, Process management or Business transformation.
  • 5+ years in Sales Enablement, Sales Operations, Revenue operations and/or Go-To-Market functions.
  • CRM Proficiency: Advanced knowledge of CRM platforms like Salesforce, particularly Sales cloud environments.
  • CMS/LMS Knowledge: Familiarity with Content Management Systems (CMS) and Learning Management Systems (LMS)
  • Analytical Mindset: Proficient in interpreting sales metrics and data-driven storytelling.
  • Strategic Communication: Ability to translate complex product / process technicalities into clear, value-based sales messaging.
  • Experience utilizing analytic tools (i.e. PowerBI, Tabelau)
  • WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
  • A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
  • Satellite and Wireless Internet service is NOT allowed for this role.
  • A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Responsibilities
  • *CRM Strategy & Optimization
  • Manage Sales Tools: Lead the optimization and implementations of CRM system (e.g., Salesforce) enhancements partnering with agile product delivery teams to identify sales automation tools to ensure seamless data flow, and serving as the primary business owner.
  • Maintain CRM Hygiene: Monitor and enforce standards for data entry, pipeline hygiene, and forecasting discipline within the CRM.
  • Generate Performance Analytics: Create dashboards and reports in the CRM to track critical KPIs like quota attainment, win rates, and time-to-productivity for new hires.
  • Improve Workflow Automation: Identify bottlenecks in the sales process and leverage CRM capabilities to automate routine tasks, saving time for frontline sellers.
  • *Content Management & Strategy
  • Manage Central Repository: Own and organize a centralized content repository (e.g., Highspot, Seismic, Showpad), ensuring all materials are current, tagged properly, and easily searchable.
  • Track System and Content Adoption: Analyze usage data to determine which assets drive the most engagement and revenue, then refine the content strategy based on these insights.
  • Lead vendor management and stewardship engagement with our enablement vendors to
  • Develop Sales Collateral: Partner with Marketing and Product teams to create and maintain high-impact materials utilizing key capabilities embedded within our enablement solutions.
  • Support Strategic Sales enablement activities as needed.
  • Attend key internal and external events as necessary, including our annual National Sales Conference and key market events.
  • Partner with leadership on key transformation activities as needed.
  • Position could Lead 1 or 2 associates.
Principal Data Analyst - Revenue Cycle - Remote
Providence · Renton, WA
Senior Bachelor's
2026-06-02
Requirements
  • Bachelor's Degree Business, Data Analytics, Mathematics, Economics, Finance, Healthcare Administration, Other Or equivalent educ/experience
  • 7 years A minimum of seven years of progressively responsible experience in data analysis, business intelligence, or analytics roles involving large and complex data sets.
  • 4 years Demonstrated proficiency in SQL, including advanced query development, data modeling, and performance optimization within large relational databases.
  • 5 years Strong skills in MS Office (eg Excel)
  • 2 years Experience working with Epic systems, including Epic Clarity, and the ability to extract, interpret, and analyze data from Epic revenue cycle modules
Preferred
  • 5 years Experience translating analytical findings into actionable insights and presenting results to senior leadership, including Finance and Revenue Cycle executives.
  • 5 years Experience managing multiple concurrent analytical requests, prioritizing work effectively, and delivering high-quality outputs in a fast-paced environment.
  • 5 years Experience identifying metric drivers, conducting root-cause analysis, and developing recommendations to improve operational or financial performance.
  • 3 years Experience working with cross-functional teams, external vendors, and consultants on data requirements, analytical approaches, and solution development.
Principal Data Analyst - Revenue Cycle - Remote
Providence · Portland, OR
Senior Bachelor's
2026-06-02
Requirements
  • Bachelor's Degree Business, Data Analytics, Mathematics, Economics, Finance, Healthcare Administration, Other Or equivalent educ/experience
  • 7 years A minimum of seven years of progressively responsible experience in data analysis, business intelligence, or analytics roles involving large and complex data sets.
  • 4 years Demonstrated proficiency in SQL, including advanced query development, data modeling, and performance optimization within large relational databases.
  • 5 years Strong skills in MS Office (eg Excel)
  • 2 years Experience working with Epic systems, including Epic Clarity, and the ability to extract, interpret, and analyze data from Epic revenue cycle modules
Preferred
  • 5 years Experience translating analytical findings into actionable insights and presenting results to senior leadership, including Finance and Revenue Cycle executives.
  • 5 years Experience managing multiple concurrent analytical requests, prioritizing work effectively, and delivering high-quality outputs in a fast-paced environment.
  • 5 years Experience identifying metric drivers, conducting root-cause analysis, and developing recommendations to improve operational or financial performance.
  • 3 years Experience working with cross-functional teams, external vendors, and consultants on data requirements, analytical approaches, and solution development.
Sr. Business Intelligence Engineer, B2C, Amazon Leo
Amazon · Bellevue, WA
Senior
2026-06-01
Requirements
  • Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
  • 6+ years of professional or military experience
  • 5+ years of SQL experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
Responsibilities
  • Architect, build, and maintain foundational business datasets across our tech stack and other internal systems to support analytics, reporting, and customer growth use cases.
  • Develop SQL-based transformations, data models, and ETL/ELT workflows to structure and unify marketing and customer data for customer lifecycle use cases.
  • Design, optimize, and manage Amazon QuickSight dashboards that provide visibility into acquisition performance, attribution, and lifecycle funnels.
  • Conduct deep-dive analysis to identify funnel drop-offs, diagnose performance issues, uncover customer insights, and evaluate marketing effectiveness.
  • Translate ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools.
  • Drive alignment on KPI definitions, measurement frameworks, taxonomy, and data governance across global marketing teams.
  • Collaborate closely with Product, Sales Ops, Data Science, and cross-functional partners to support experimentation, segmentation, forecasting, and predictive insights.
  • Communicate effectively with senior management audiences (e.g. narratives, inputs into weekly/monthly/quarterly business reviews).* Drive best practices in operational excellence, data modeling, and analysis. Ensure that BI solutions are correctly and efficiently supporting the business.* Participate in hiring activities and mentor junior team members
  • You will spend part of your day improving the business health data architecture-designing better datasets, cleaning pipelines, and enabling new use cases in the CDP and other internal spaces. Another part of your day will involve partnering with Data Engineering to review instrumentation or troubleshoot data issues. You will also work directly with Marketing and Product teams to conduct deep dives, and design new measurement approaches. You will be a strategic and technical owner ensuring that Amazon Leo Marketing can make accurate, timely, data-driven decisions.
Sr. Business Intelligence Engineer, B2C, Amazon Leo
Amazon · Bellevue, WA
Senior
2026-05-31
Requirements
  • Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
  • 6+ years of professional or military experience
  • 5+ years of SQL experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
Responsibilities
  • Architect, build, and maintain foundational business datasets across our tech stack and other internal systems to support analytics, reporting, and customer growth use cases.
  • Develop SQL-based transformations, data models, and ETL/ELT workflows to structure and unify marketing and customer data for customer lifecycle use cases.
  • Design, optimize, and manage Amazon QuickSight dashboards that provide visibility into acquisition performance, attribution, and lifecycle funnels.
  • Conduct deep-dive analysis to identify funnel drop-offs, diagnose performance issues, uncover customer insights, and evaluate marketing effectiveness.
  • Translate ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools.
  • Drive alignment on KPI definitions, measurement frameworks, taxonomy, and data governance across global marketing teams.
  • Collaborate closely with Product, Sales Ops, Data Science, and cross-functional partners to support experimentation, segmentation, forecasting, and predictive insights.
  • Communicate effectively with senior management audiences (e.g. narratives, inputs into weekly/monthly/quarterly business reviews).* Drive best practices in operational excellence, data modeling, and analysis. Ensure that BI solutions are correctly and efficiently supporting the business.* Participate in hiring activities and mentor junior team members
  • You will spend part of your day improving the business health data architecture-designing better datasets, cleaning pipelines, and enabling new use cases in the CDP and other internal spaces. Another part of your day will involve partnering with Data Engineering to review instrumentation or troubleshoot data issues. You will also work directly with Marketing and Product teams to conduct deep dives, and design new measurement approaches. You will be a strategic and technical owner ensuring that Amazon Leo Marketing can make accurate, timely, data-driven decisions.
Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation
Amazon · Seattle, WA
Senior Master's
2026-05-30
Requirements
  • 5+ years of SQL, ETL or Oracle experience
  • 5+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
  • Master's degree in statistics, data science, or an equivalent quantitative field
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Responsibilities
  • Work directly with the models/data. Work with large data sets and the technical tools needed to work with them
  • Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL). Build data models leveraging Python.
  • Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes
  • Use analytical and statistical rigor to solve complex problems and drive business decisions
  • Drive towards simple, scalable solutions to difficult problems
  • Project-manage multiple workflows and communicate complex analytical results, both written and verbally
  • Work with key business stakeholders to understand requirements and shape analytical deliverables
  • Think strategically about business, product, and technical challenges, with the ability to work cross-organizationally
Sr. Business Data Analyst
Insight Global · Seattle, WA
Senior
2026-05-30
Requirements
  • At least 5 years of experience with Power BI
  • Proven experience building and managing semantic models specifically within Microsoft Fabric
  • Expert-level knowledge of dimensional modeling and relational database concepts
  • Advanced proficiency in SQL/T-SQL and experience with programming languages like Python or R
  • Practical knowledge of Procore, Salesforce, and ERP systems (and their underlying data structures)
  • Strong understanding of data integrity, security, and governance standards
  • Familiarity with JIRA/Azure DevOps and Agile/Scrum methodologies Experience in the Architectural, Engineering, and Construction (AEC) industry is a significant plus.
Responsibilities
  • Leverage data to drive informed decision-making and business improvements specifically within the Energy & Technical Services (E&TS) Line of Business. This role is a key member of the Reporting & Analytics team, responsible for building the foundational data architecture that empowers teams to make real-time, data-driven decisions. The analyst will actively manage the transition to Microsoft Fabric, ensuring that complex datasets from construction and energy performance are transformed into actionable insights. Success will look like the following: Successful migration and replatforming of E&TS dashboards and semantic models into Microsoft Fabric; creation of performant dimensional models that integrate data seamlessly from Salesforce, ERPs, and Procore; strong technical leadership and adherence to data governance and quality assurance standards.
Business Intelligence Lead - CAHPS & HOS Analytics
Humana · Boise, ID
Senior Bachelor's
2026-05-29
Requirements
  • Bachelor's degree and 5+ years of technical experience in business intelligence, analytics, or survey data analysis
  • 2 or more years of project leadership experience
  • Advanced experience in dashboard development, reporting automation, and working with big and complex data sets
  • Experience analyzing data to solve a wide variety of business problems and creating data visualizations that drive strategic direction
  • Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
  • Expertise with BI tools such as Power BI or Tableau
  • Demonstrated ability to streamline data operations and reduce manual effort through automation
  • Proficiency in verbal/written communication to senior and executive leadership
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Preferred
  • Advanced Degreein a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or relevant certifications (e.g., CBIP, Lean Six Sigma)
  • Experience in Medicare, Stars, or healthcare analytics
  • Experience working with CAHPS & HOS or other survey data
  • Advanced in SQL, SAS and other data systems
  • Experience programming in Python
  • Expertise in data mining, forecasting, simulation, and/or predictive modeling
  • Experience with automation tools and technologies to automate workflows, data pipelines, and reporting processes
  • *Additional Information
Business Intelligence Lead - CAHPS & HOS Analytics
Humana · Olympia, WA
Senior Bachelor's
2026-05-29
Requirements
  • Bachelor's degree and 5+ years of technical experience in business intelligence, analytics, or survey data analysis
  • 2 or more years of project leadership experience
  • Advanced experience in dashboard development, reporting automation, and working with big and complex data sets
  • Experience analyzing data to solve a wide variety of business problems and creating data visualizations that drive strategic direction
  • Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
  • Expertise with BI tools such as Power BI or Tableau
  • Demonstrated ability to streamline data operations and reduce manual effort through automation
  • Proficiency in verbal/written communication to senior and executive leadership
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Preferred
  • Advanced Degreein a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or relevant certifications (e.g., CBIP, Lean Six Sigma)
  • Experience in Medicare, Stars, or healthcare analytics
  • Experience working with CAHPS & HOS or other survey data
  • Advanced in SQL, SAS and other data systems
  • Experience programming in Python
  • Expertise in data mining, forecasting, simulation, and/or predictive modeling
  • Experience with automation tools and technologies to automate workflows, data pipelines, and reporting processes
  • *Additional Information
Senior Data Analyst
Nike · Beaverton, OR
Senior Master's
2026-05-29

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

Business Intelligence Lead - CAHPS & HOS Analytics
Humana · Salem, OR
Senior Bachelor's
2026-05-29
Requirements
  • Bachelor's degree and 5+ years of technical experience in business intelligence, analytics, or survey data analysis
  • 2 or more years of project leadership experience
  • Advanced experience in dashboard development, reporting automation, and working with big and complex data sets
  • Experience analyzing data to solve a wide variety of business problems and creating data visualizations that drive strategic direction
  • Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
  • Expertise with BI tools such as Power BI or Tableau
  • Demonstrated ability to streamline data operations and reduce manual effort through automation
  • Proficiency in verbal/written communication to senior and executive leadership
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Preferred
  • Advanced Degreein a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or relevant certifications (e.g., CBIP, Lean Six Sigma)
  • Experience in Medicare, Stars, or healthcare analytics
  • Experience working with CAHPS & HOS or other survey data
  • Advanced in SQL, SAS and other data systems
  • Experience programming in Python
  • Expertise in data mining, forecasting, simulation, and/or predictive modeling
  • Experience with automation tools and technologies to automate workflows, data pipelines, and reporting processes
  • *Additional Information
Business Intelligence Lead - CAHPS & HOS Analytics
Humana · Helena, MT
Senior Bachelor's
2026-05-29
Requirements
  • Bachelor's degree and 5+ years of technical experience in business intelligence, analytics, or survey data analysis
  • 2 or more years of project leadership experience
  • Advanced experience in dashboard development, reporting automation, and working with big and complex data sets
  • Experience analyzing data to solve a wide variety of business problems and creating data visualizations that drive strategic direction
  • Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
  • Expertise with BI tools such as Power BI or Tableau
  • Demonstrated ability to streamline data operations and reduce manual effort through automation
  • Proficiency in verbal/written communication to senior and executive leadership
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Preferred
  • Advanced Degreein a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or relevant certifications (e.g., CBIP, Lean Six Sigma)
  • Experience in Medicare, Stars, or healthcare analytics
  • Experience working with CAHPS & HOS or other survey data
  • Advanced in SQL, SAS and other data systems
  • Experience programming in Python
  • Expertise in data mining, forecasting, simulation, and/or predictive modeling
  • Experience with automation tools and technologies to automate workflows, data pipelines, and reporting processes
  • *Additional Information
Senior Business Intelligence Engineer, Global Logistics Analytics
Amazon · Bellevue, WA
Senior
2026-05-28
Requirements
  • 10+ years of relevant professional or military experience
  • 5+ years of SQL experience
  • Experience in ETL management/data pipeline
  • 2+ years of data visualization and reports tools experience
  • Experience with scripting for automation (e.g., Python) and AWS technologies
  • Experience applying statistical analysis methods and experimental design to business problems
Preferred
  • Experience in program management, logistics, operations, supply chain, transportation, or a related field
  • Experience translating between complex data and business needs for non-technical stakeholders, including senior leadership
  • Experience designing measurement frameworks, KPI systems, or analytics strategies for new business initiatives
  • Experience with machine learning, predictive modeling, or advanced forecasting applied to operational optimization
  • Experience mentoring or coaching analysts/engineers on analytical methodologies and best practices
  • Experience building self-service BI platforms that scale across cross-functional teams
Responsibilities
  • Own the end-to-end analytics strategy for GL Product & GTM, designing measurement systems, KPIs, and business metrics that guide investment decisions, product roadmaps, and operational performance across ocean freight, air freight, customs clearance, and emerging logistics solutions.
  • Architect and deliver self-service BI tools (dashboards, reports, automated pipelines) that empower a 12-person cross-functional team and senior leaders to independently access and act on data-reducing time-to-insight and enabling faster decision-making.
  • Size and prioritize business growth opportunities by building analytical models, applying statistical methods, and conducting deep-dive investigations to maximize return on effort and reduce lead-times from concept to launch.
  • Partner with centralized Data Engineering teams to improve data assets, quality, and accessibility-driving requirements for new data sources and ensuring reliable insights from large-scale, multi-source datasets.
  • Communicate findings and coach peers by writing concise documents, publishing data-driven recommendations to VP-level audiences, and mentoring team members who lead functional strategies on how to leverage data effectively.
  • You might start your morning reviewing dashboard metrics on freight volume and seller adoption, then dive into a deep-dive analysis sizing a new customs clearance opportunity. After lunch, you'll partner with Product Managers to define success metrics for an upcoming launch, followed by presenting quarterly performance insights to GL leadership.
Sr Business Intelligence Engineer III, SCOT - Long Term Planning and Forecasting
Amazon · Bellevue, WA
Senior
2026-05-28
Requirements
  • 5+ years of SQL experience
  • 5+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 5+ years of developing automated reporting experience
  • 5+ years of performing statistical analysis experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
Responsibilities
  • Design, develop, and maintain scalable analytical solutions, dashboards, and data pipelines using Amazon QuickSight, SQL, and AWS services to track forecast performance across Topline, Inventory, and Capacity planning - ensuring solutions are extensible, well-architected, and easy for others to maintain
  • Partner with scientists, engineers, product managers, and cross-functional stakeholders to gather requirements, prioritize initiatives, and deliver data solutions that drive to root cause
  • Build and optimize data models, ETL processes, and automated reporting mechanisms that enable data-driven decision making across the organization
  • Identify and implement opportunities to integrate generative AI into analytical tools and processes, accelerating insight generation and automating reporting workflows
  • Conduct deep-dive analyses to identify trends, patterns, and opportunities for improvement, leading the analytics strategy for complex and ambiguous business questions independently
  • Identify and mitigate data quality issues, dependencies, and bottlenecks; escalate and drive resolution as needed
  • Take the lead on large projects from start to finish - developing project plans, tracking milestones, and communicating findings effectively to management audiences
  • Influence the team's analytics strategy and drive best practices in data modeling, metric definitions, and code quality - continuously improving processes and tools
  • Mentor and develop other team members; participate in hiring and technical assessments
  • LTPF BI Engineers focus on how our customers use our forecasts and plans, and ensuring it's as easy as possible to access and understand them. We serve on the front lines of forecast and plan validation as a proxy for our customers, making sure changes across Topline, Inventory, and Capacity are well understood and clearly communicated. We develop reports and data access points that answer key questions about forecast performance, inventory positioning, and capacity planning - and work with science and engineering teams to resolve forecast and planning questions.
  • Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
  • The benefits that generally apply to regular, full-time employees include:
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
  • At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
Sr Data Analyst
DLA Piper LLP (US) · Seattle, WA
Senior
2026-05-26
Responsibilities
  • Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact analytics, forecasting, reporting and insight-driven solutions.
  • Collaborate with FP&A Revenue & Strategic Finance to identify practice group challenges and prioritize analysis and solutions.
  • Implement best practices and innovative solutions to enhance data integrity and data reporting accuracy, leveraging AI tools to enable data validation of financial reportin
Senior/Lead Data Analyst - CX Strategy & Insights
Eliassen Group · Olympia, WA
Senior Bachelor's
2026-05-23
Requirements
  • 4 to 7+ years in CX analytics, product analytics, or journey analytics.
  • Hands-on experience with Qualtrics or similar CX platforms, including transactional surveys, digital intercepts, and session replay or behavioral tracking.
  • Experience with NPS, CSAT, and Voice of Customer data.
  • Experience with contact center data including call drivers, repeat contact, and AHT.
  • Experience with digital funnel and journey analytics.
  • Proven ability to connect CX signals to operational and business outcomes.
  • Demonstrated capability to independently structure work, build analytical outputs, and drive execution from insight to action.
  • Strong cross-functional collaboration skills across Product, Technology, and Operations.
  • High ownership, execution rigor, and speed in ambiguous environments.
Education
  • Bachelor's degree required. Analytics, data, or technical background preferred.
  • *_Recruitment Transparency Notice_
  • *_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
  • _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
Responsibilities
  • Own end-to-end journey analytics and CX measurement across priority member and client journeys such as Account Access, Claims, Client, and Card.
  • Connect digital behavior, contact drivers, and experience metrics to business and operational outcomes.
  • Design and deploy transactional surveys in Qualtrics or similar platforms aligned to journey steps.
  • Implement digital intercepts across key touchpoints and instrument session replay tagging to capture behavioral signals.
  • Maintain complete listening coverage across journeys, document instrumentation, identify gaps, and drive closure of gaps.
  • Analyze Voice of Customer, digital, and contact center data to identify root causes of friction, repeat contact, and poor experience outcomes.
  • Translate insights into clear actions with defined owners and measurable outcomes, and ensure execution.
  • Deliver weekly CX reporting with metric trends, variance explanations, root cause insights, actions in progress, and expected impact.
  • Own structured work tracking with actions, owners, priorities, outcomes, and regular progress updates.
  • Develop CX insight outputs such as newsletters and deep dives that articulate wins, issues, customer pain signals, root causes, and actions.
  • Partner with Product, Operations, Technology, and CX teams to validate insights, remove blockers, and ensure follow-through.
  • Operate independently, structure ambiguous problems, and drive execution without constant direction.
Data Analyst -Project Delivery Senior Analyst - AI & Engineering
Deloitte · Boise, ID
Senior Bachelor's
2026-05-23
Requirements
  • 4+ Years Experience in Analytics + data skills: strong analytical thinking; ability to frame ambiguous questions; SQL proficiency for querying/validating datasets; strong Excel
  • 4+ Years Experience with BI tooling: hands-on Tableau and/or Power BI (building or enhancing reports/dashboards); understanding of metrics/KPI definitions and dashboard usability
  • 4+ Years Experience in Structured Storytelling abilities in PPT
  • 4+ Years Experience Familiarity with Snowflake
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Familiarity with modern data platforms/warehouses (e.g., Snowflake)
  • Stakeholder management: crisp communication, expectation-setting, and ability to handle high-volume ad-hoc requests with clear prioritization and turnaround commitments.
  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations
  • The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $69,000 to $127,000.
  • You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Responsibilities
  • Partner with product owners and business stakeholders to intake, clarify, and document analytics needs (problem statements, scope, assumptions, success metrics/KPIs).
  • Translate needs into Agile/SAFe-ready work: epics/features/user stories, acceptance criteria, and sprint-ready backlog items; support sprint planning/reviews/retros and cross-team coordination.
  • Provide ad-hoc analysis and "quick-turn" reporting (directional insights, quick views) and, where appropriate, build lightweight dashboards in Tableau/Power BI; collaborate with BI/reporting developers to industrialize high-usage reporting.
  • Support recurring analyses/reports (monthly/biweekly/weekly as applicable): define requirements, validate outputs with stakeholders, and maintain runbooks.
  • Coordinate/support UAT and release/change activities (dependency tracking, risk/issue management, stakeholder comms) aligned to our client's standards and governance processes.
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
  • Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Senior/Lead Data Analyst - CX Strategy & Insights
Eliassen Group · Boise, ID
Senior Bachelor's
2026-05-23
Requirements
  • 4 to 7+ years in CX analytics, product analytics, or journey analytics.
  • Hands-on experience with Qualtrics or similar CX platforms, including transactional surveys, digital intercepts, and session replay or behavioral tracking.
  • Experience with NPS, CSAT, and Voice of Customer data.
  • Experience with contact center data including call drivers, repeat contact, and AHT.
  • Experience with digital funnel and journey analytics.
  • Proven ability to connect CX signals to operational and business outcomes.
  • Demonstrated capability to independently structure work, build analytical outputs, and drive execution from insight to action.
  • Strong cross-functional collaboration skills across Product, Technology, and Operations.
  • High ownership, execution rigor, and speed in ambiguous environments.
Education
  • Bachelor's degree required. Analytics, data, or technical background preferred.
  • *_Recruitment Transparency Notice_
  • *_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
  • _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
Responsibilities
  • Own end-to-end journey analytics and CX measurement across priority member and client journeys such as Account Access, Claims, Client, and Card.
  • Connect digital behavior, contact drivers, and experience metrics to business and operational outcomes.
  • Design and deploy transactional surveys in Qualtrics or similar platforms aligned to journey steps.
  • Implement digital intercepts across key touchpoints and instrument session replay tagging to capture behavioral signals.
  • Maintain complete listening coverage across journeys, document instrumentation, identify gaps, and drive closure of gaps.
  • Analyze Voice of Customer, digital, and contact center data to identify root causes of friction, repeat contact, and poor experience outcomes.
  • Translate insights into clear actions with defined owners and measurable outcomes, and ensure execution.
  • Deliver weekly CX reporting with metric trends, variance explanations, root cause insights, actions in progress, and expected impact.
  • Own structured work tracking with actions, owners, priorities, outcomes, and regular progress updates.
  • Develop CX insight outputs such as newsletters and deep dives that articulate wins, issues, customer pain signals, root causes, and actions.
  • Partner with Product, Operations, Technology, and CX teams to validate insights, remove blockers, and ensure follow-through.
  • Operate independently, structure ambiguous problems, and drive execution without constant direction.
Senior/Lead Data Analyst - CX Strategy & Insights
Eliassen Group · Helena, MT
Senior Bachelor's
2026-05-23
Requirements
  • 4 to 7+ years in CX analytics, product analytics, or journey analytics.
  • Hands-on experience with Qualtrics or similar CX platforms, including transactional surveys, digital intercepts, and session replay or behavioral tracking.
  • Experience with NPS, CSAT, and Voice of Customer data.
  • Experience with contact center data including call drivers, repeat contact, and AHT.
  • Experience with digital funnel and journey analytics.
  • Proven ability to connect CX signals to operational and business outcomes.
  • Demonstrated capability to independently structure work, build analytical outputs, and drive execution from insight to action.
  • Strong cross-functional collaboration skills across Product, Technology, and Operations.
  • High ownership, execution rigor, and speed in ambiguous environments.
Education
  • Bachelor's degree required. Analytics, data, or technical background preferred.
  • *_Recruitment Transparency Notice_
  • *_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
  • _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
Responsibilities
  • Own end-to-end journey analytics and CX measurement across priority member and client journeys such as Account Access, Claims, Client, and Card.
  • Connect digital behavior, contact drivers, and experience metrics to business and operational outcomes.
  • Design and deploy transactional surveys in Qualtrics or similar platforms aligned to journey steps.
  • Implement digital intercepts across key touchpoints and instrument session replay tagging to capture behavioral signals.
  • Maintain complete listening coverage across journeys, document instrumentation, identify gaps, and drive closure of gaps.
  • Analyze Voice of Customer, digital, and contact center data to identify root causes of friction, repeat contact, and poor experience outcomes.
  • Translate insights into clear actions with defined owners and measurable outcomes, and ensure execution.
  • Deliver weekly CX reporting with metric trends, variance explanations, root cause insights, actions in progress, and expected impact.
  • Own structured work tracking with actions, owners, priorities, outcomes, and regular progress updates.
  • Develop CX insight outputs such as newsletters and deep dives that articulate wins, issues, customer pain signals, root causes, and actions.
  • Partner with Product, Operations, Technology, and CX teams to validate insights, remove blockers, and ensure follow-through.
  • Operate independently, structure ambiguous problems, and drive execution without constant direction.
Senior/Lead Data Analyst - CX Strategy & Insights
Eliassen Group · Salem, OR
Senior Bachelor's
2026-05-23
Requirements
  • 4 to 7+ years in CX analytics, product analytics, or journey analytics.
  • Hands-on experience with Qualtrics or similar CX platforms, including transactional surveys, digital intercepts, and session replay or behavioral tracking.
  • Experience with NPS, CSAT, and Voice of Customer data.
  • Experience with contact center data including call drivers, repeat contact, and AHT.
  • Experience with digital funnel and journey analytics.
  • Proven ability to connect CX signals to operational and business outcomes.
  • Demonstrated capability to independently structure work, build analytical outputs, and drive execution from insight to action.
  • Strong cross-functional collaboration skills across Product, Technology, and Operations.
  • High ownership, execution rigor, and speed in ambiguous environments.
Education
  • Bachelor's degree required. Analytics, data, or technical background preferred.
  • *_Recruitment Transparency Notice_
  • *_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
  • _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
Responsibilities
  • Own end-to-end journey analytics and CX measurement across priority member and client journeys such as Account Access, Claims, Client, and Card.
  • Connect digital behavior, contact drivers, and experience metrics to business and operational outcomes.
  • Design and deploy transactional surveys in Qualtrics or similar platforms aligned to journey steps.
  • Implement digital intercepts across key touchpoints and instrument session replay tagging to capture behavioral signals.
  • Maintain complete listening coverage across journeys, document instrumentation, identify gaps, and drive closure of gaps.
  • Analyze Voice of Customer, digital, and contact center data to identify root causes of friction, repeat contact, and poor experience outcomes.
  • Translate insights into clear actions with defined owners and measurable outcomes, and ensure execution.
  • Deliver weekly CX reporting with metric trends, variance explanations, root cause insights, actions in progress, and expected impact.
  • Own structured work tracking with actions, owners, priorities, outcomes, and regular progress updates.
  • Develop CX insight outputs such as newsletters and deep dives that articulate wins, issues, customer pain signals, root causes, and actions.
  • Partner with Product, Operations, Technology, and CX teams to validate insights, remove blockers, and ensure follow-through.
  • Operate independently, structure ambiguous problems, and drive execution without constant direction.
Senior People Analytics Data Analyst
Blue Origin LLC · Seattle, WA
Senior Bachelor's
2026-05-23
Requirements
  • Bachelor's degree in Data Science, Computer Science, Business Analytics, or a related field or equivalent in years of exp.
  • 8+ years of experience in business intelligence, data analytics, or related domains.
  • Expertise in SQL and data visualization tools (e.g., Tableau, PowerBI).
  • Strong critical thinking and problem-solving skills, with the ability to provide impactful solutions.
  • Excellent attention to detail, ensuring recommendations are accurate and actionable.
  • Strong communication skills for effective interaction with both technical and non-technical stakeholders.
  • A mindset of ownership and curiosity, with the drive to understand data within its broader business context.
Preferred
  • Solid experience in HR analytics, with a deep understanding of its impact on talent management and policy decisions.
  • Proficiency in data analysis tools and programming languages (e.g., Python, R, Etc).
  • Experience with enterprise systems such as Workday and Cornerstone.
  • Familiarity with big data platforms and cloud technologies.
Responsibilities
  • Analyze HR data to deeply understand processes, trends, and opportunities, ensuring findings are actionable and aligned with organizational goals.
  • Design and implement advanced data visualizations and dashboards using tools like Tableau or PowerBI to drive strategic decision-making.
  • Collaborate with HR and business teams to identify to develop metrics that promote excellence and optimize workflows.
  • Perform detailed data analysis and validation to ensure accuracy and reliability of insights provided to stakeholders.
  • Proactively address challenges, offering innovative, data-driven solutions that enhance HR processes and outcomes.
  • Communicate complex data insights clearly and effectively, ensuring all stakeholders understand implications and actions.
  • Develop and maintain data documentation, run books, and data dictionaries in collaboration with HR data governance.
  • Stay informed of industry trends and best practices in people analytics and apply them to enhance our workforce strategies.
Senior Business Intelligence Engineer, Devices Demand Science Optimization
Amazon · Seattle, WA
Senior
2026-05-22
Requirements
  • 10+ years of professional or military experience
  • 7+ years of SQL, ETL or Oracle experience
  • 7+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 5+ years of developing automated reporting experience
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Knowledge of data warehousing and data modeling
  • Experience working directly with business stakeholders to translate between data and business needs
Preferred
  • Experience managing, analyzing and communicating results to senior leadership
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Responsibilities
  • Design, build, and maintain scalable core data tables and pipelines that serve as the single source of truth for Devices sales, inventory, pricing and demand planning metrics.
  • Automate reporting workflows and data processes to reduce manual effort and improve speed, accuracy, and reliability of insights delivered to stakeholders.
  • Build and enhance QuickSuite dashboards that provide self service analytics for product line leaders, finance, and supply chain teams.
  • Develop contextual data layers that connect disparate data sources into unified, business ready datasets, enabling deeper analysis and cross functional visibility.
  • Build and integrate AI powered features into BI solutions, including intelligent agents, automated callouts, and generative AI driven summaries that surface key insights proactively.
  • Implement data governance frameworks and quality control mechanisms, including automated validation, monitoring, and alerting to ensure data accuracy and reliability across all assets.
  • Design and manage pipeline orchestration to coordinate data ingestion, transformation, and delivery across multiple systems and schedules.
  • Partner with stakeholders across demand planning, forecasting, and inventory teams to translate business requirements into well scoped, long term, AI-driven data solutions.
Workday Finance Systems and Data Analyst - Senior
Seattle Children's · Seattle, WA
Senior Bachelor's
2026-05-21
Preferred
  • Progressively responsible work experience as a Systems or Reporting Analyst or equivalent.
  • Experience managing medium to large projects using standard project management skills, tools and methodologies.
  • Experience working with Workday including architecture, business process setup, foundation data model structures and interfaces with related systems.
  • Continuing technical education requirements of minimum 20 hours per year.
Education
  • Bachelor's degree in Business Administration, Industrial Engineering, Computer Science or a related field, or equivalent work experience.
  • Minimum of seven (7) years experience in an Information Services/Information Technology environment working with client/server and/or database concepts.
  • Minimum of two (2) years development experience with SQL (views, functions etc.), Crystal, Tableau or Workday.
  • Minimum of two (2) years experience working with Finance systems and processes supporting business customers, end users, and ERP Systems.
  • Proven experience and knowledge of project management skills, tools and methodologies.
  • Proven experience leading committees, projects and activities.
  • Proven ability to fully use and apply standard principles, theories and concepts related to technical discipline.
  • Experience with clinical, hospital and / or financial applications and / or systems.
  • *Required Credentials
  • Certified Workday Professional (e.g., Workday Pro, Workday FIN, Workday Report to Pay) completed or in process.
Senior Business Intelligence Engineer, Amazon Customer Service
Amazon · Seattle, WA
Senior
2026-05-21
Sr Business Intelligence Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team
Amazon · Seattle, WA
Senior
2026-05-21
Senior Business Intelligence Engineer, Infra Supply Chain Automation
Amazon · Seattle, WA
Senior Bachelor's
2026-05-20
Requirements
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Bachelor's degree
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Responsibilities
  • Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
  • Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
  • Be hands-on with ETL to build data pipeline to support automated reporting.
  • Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc analyses to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.
  • Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Quality Systems Specialist (Data Analysis/Visualization & Application) (Associate and Experienced)
The Boeing Company · Everett, WA
Senior
2026-05-20
Requirements
  • 3+ years of experience in analytics and data visualization
  • 3+ years of experience working with relational database management systems (Exadata, Oracle, Teradata, SQL Server)
  • 3+ years of experience years of experience in developing with front-end programming languages
  • 3+ years of experience in collecting, interpreting data, and managing high level projects for management
  • 3+ years of experience with Microsoft Office Applications
  • 3+ years of experience working with Quality and/or Safety Corrective Action/Preventative Action, Root Cause Corrective Actions
  • 3+ years of experience with a modern JavaScript-based web application front end framework such as React, Vue or Angula
  • This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required.
  • "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
  • *Export Control Details:
  • US based job, US Person required
Preferred
  • Level 3 : 3+ years of related work experience or an equivalent combination of education and experience
  • Experience with programming/coding in Python
  • Experience working with and partnering with cross-functional teams on projects and initiatives
  • Experience developing reports and presentations for executive leadership
  • Skill at defining and prioritizing critical requirements
  • Experience resolving issues and developing solutions to summarize and convey complex information clearly and concisely
  • This is a non-union represented position
  • *Conflict of Interest :
  • Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process
Responsibilities
  • At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
  • *Boeing Commercial Airplanes (BCA) is looking for an Associate and Experienced Quality Systems Specialist (Data Analysis/Visualization & Application) to join the Supplier Quality Data & Systems team based out of Everett, Washington .
  • Boeing is a great workplace where employees maintain a positive environment and culture. We are committed to providing our team equal growth opportunities in a stable work environment. We encourage every teammate to feel empowered to bring their best through creativity, innovation, and diversity, as this drives a positive culture through transparency, safety, quality, and respect. Above all, employees will be provided with the opportunity to seek, speak, and listen within the organization. They are encouraged to share externally with each Boeing customer to build balanced work relationships.
  • Assists in review of proposals, contracts, regulatory, program and customer requirements to prepare quality assurance plans and tests for hardware and software products, processes and services
  • Maintains Quality directives, policies, processes, procedures and metrics to assure program, contract, customer, regulatory requirements, international standards and working agreements are deployed using established procedures
  • Collects and verifies data to support the identification of root cause routine problems
  • Provides ideas and concepts for corrective action development
  • Supports quality source selection and process reviews of suppliers' ability to meet program quality requirements
  • Assists with hardware, software and system level audits to determine compliance with quality management system standards, configuration assurance, related business, regulatory and customer requirements
  • Documents audit results in standard formats
  • Compiles data and provides recommendations for material review disposition
  • Works under general supervision
Senior Specialist, Data Analytics
Cardinal Health · Boise, ID
Senior Bachelor's
2026-05-15
Requirements
  • Bachelors Degree in related field or equivalent work experience
  • 2+ years experience in related field preferred
  • Proficiency in Microsoft Office products preferred
  • Experience with innovative analytical insights
  • Business Requirements documentation experience preferred
  • Strong understanding of Agile development methodologies preferred.
  • Excellent written and verbal communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders preferred.
Preferred
  • *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
Responsibilities
  • Hands-on experience with Python scripting for data engineering and automation preferred.
  • Experience with enterprise scheduling tools such as Airflow, UC4, AutoSys, or Control-M preferred.
  • Experience with AI/ML-driven data platforms, including feature engineering and data pipelines supporting analytics or machine learning workloads preferred.
  • Experience with Large Language Models (LLMs) and Generative AI (GenAI), use cases, or integrations (e.g., leveraging data platforms for AI-driven insights or automation) preferred.
  • Experience with enterprise data platforms such as GCP BigQuery, Databricks preferred.
  • Expertise in database design, data modeling, and performance optimization preferred.
  • Expert-level experience developing database objects including SQL, stored procedures, views, partitioning, indexing, and query optimization preferred.
  • Experience building semantic layers for analytics consumption using tools such as AtScale and/or LookML preferred.
  • Experience working on large-scale, business-critical data platforms preferred.
  • Experience leading or mentoring small development teams preferred.
  • Hands-on experience with DevSecOps and CI/CD practices, including tools such as GitHub, Airflow, and pipeline automation preferred.
Senior Specialist, Data Analytics
Cardinal Health · Salem, OR
Senior Bachelor's
2026-05-15
Requirements
  • Bachelors Degree in related field or equivalent work experience
  • 2+ years experience in related field preferred
  • Proficiency in Microsoft Office products preferred
  • Experience with innovative analytical insights
  • Business Requirements documentation experience preferred
  • Strong understanding of Agile development methodologies preferred.
  • Excellent written and verbal communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders preferred.
Preferred
  • *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
Responsibilities
  • Hands-on experience with Python scripting for data engineering and automation preferred.
  • Experience with enterprise scheduling tools such as Airflow, UC4, AutoSys, or Control-M preferred.
  • Experience with AI/ML-driven data platforms, including feature engineering and data pipelines supporting analytics or machine learning workloads preferred.
  • Experience with Large Language Models (LLMs) and Generative AI (GenAI), use cases, or integrations (e.g., leveraging data platforms for AI-driven insights or automation) preferred.
  • Experience with enterprise data platforms such as GCP BigQuery, Databricks preferred.
  • Expertise in database design, data modeling, and performance optimization preferred.
  • Expert-level experience developing database objects including SQL, stored procedures, views, partitioning, indexing, and query optimization preferred.
  • Experience building semantic layers for analytics consumption using tools such as AtScale and/or LookML preferred.
  • Experience working on large-scale, business-critical data platforms preferred.
  • Experience leading or mentoring small development teams preferred.
  • Hands-on experience with DevSecOps and CI/CD practices, including tools such as GitHub, Airflow, and pipeline automation preferred.
Sr Business Intelligence Engineer, FBA Analytics
Amazon · Bellevue, WA
Senior
2026-05-15
Requirements
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
Responsibilities
  • Deep dive into data to uncover actionable insights.
  • Create robust reporting to increase visibility into the metrics and data.
  • Partner with key stakeholders to enable data driven decision making.
  • Partner with data engineers to build data pipeline and standardize data transformation logic.
  • Design and implement scalable self-service dashboards to enable business users get answer frequently asked business questions in self service fashion.
  • Apply statistical techniques to infer impact of product and policy decisions on business outcomes.
Sr. Business Intelligence Engineer, B2C, Amazon Leo
Amazon · Bellevue, WA
Senior
2026-05-15
Requirements
  • Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
Responsibilities
  • Architect, build, and maintain foundational business datasets across our tech stack and other internal systems to support analytics, reporting, and customer growth use cases.
  • Develop SQL-based transformations, data models, and ETL/ELT workflows to structure and unify marketing and customer data for customer lifecycle use cases.
  • Design, optimize, and manage Amazon QuickSight dashboards that provide visibility into acquisition performance, attribution, and lifecycle funnels.
  • Conduct deep-dive analysis to identify funnel drop-offs, diagnose performance issues, uncover customer insights, and evaluate marketing effectiveness.
  • Translate ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools.
  • Drive alignment on KPI definitions, measurement frameworks, taxonomy, and data governance across global marketing teams.
  • Collaborate closely with Product, Sales Ops, Data Science, and cross-functional partners to support experimentation, segmentation, forecasting, and predictive insights.
  • Communicate effectively with senior management audiences (e.g. narratives, inputs into weekly/monthly/quarterly business reviews).* Drive best practices in operational excellence, data modeling, and analysis. Ensure that BI solutions are correctly and efficiently supporting the business.* Participate in hiring activities and mentor junior team members
  • You will spend part of your day improving the business health data architecture-designing better datasets, cleaning pipelines, and enabling new use cases in the CDP and other internal spaces. Another part of your day will involve partnering with Data Engineering to review instrumentation or troubleshoot data issues. You will also work directly with Marketing and Product teams to conduct deep dives, and design new measurement approaches. You will be a strategic and technical owner ensuring that Amazon Leo Marketing can make accurate, timely, data-driven decisions.
Senior Specialist, Data Analytics
Cardinal Health · Olympia, WA
Senior Bachelor's
2026-05-15
Requirements
  • Bachelors Degree in related field or equivalent work experience
  • 2+ years experience in related field preferred
  • Proficiency in Microsoft Office products preferred
  • Experience with innovative analytical insights
  • Business Requirements documentation experience preferred
  • Strong understanding of Agile development methodologies preferred.
  • Excellent written and verbal communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders preferred.
Preferred
  • *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
Responsibilities
  • Hands-on experience with Python scripting for data engineering and automation preferred.
  • Experience with enterprise scheduling tools such as Airflow, UC4, AutoSys, or Control-M preferred.
  • Experience with AI/ML-driven data platforms, including feature engineering and data pipelines supporting analytics or machine learning workloads preferred.
  • Experience with Large Language Models (LLMs) and Generative AI (GenAI), use cases, or integrations (e.g., leveraging data platforms for AI-driven insights or automation) preferred.
  • Experience with enterprise data platforms such as GCP BigQuery, Databricks preferred.
  • Expertise in database design, data modeling, and performance optimization preferred.
  • Expert-level experience developing database objects including SQL, stored procedures, views, partitioning, indexing, and query optimization preferred.
  • Experience building semantic layers for analytics consumption using tools such as AtScale and/or LookML preferred.
  • Experience working on large-scale, business-critical data platforms preferred.
  • Experience leading or mentoring small development teams preferred.
  • Hands-on experience with DevSecOps and CI/CD practices, including tools such as GitHub, Airflow, and pipeline automation preferred.
Senior Specialist, Data Analytics
Cardinal Health · Helena, MT
Senior
2026-05-15
Senior Data Analyst - Performance Marketing
Last Brand, Inc. · Seattle, WA
Senior Master's
2026-05-14
Responsibilities
  • [Analyze large-scale marketing datasets from multiple channels (e.g., paid search, social, display, email, affiliate) using statistical and computational techniques to evaluate performance, identify key trends, and optimize return on investment (ROI).]{segoe="" ui",="" tahoma,="" sans-serif"=""}
  • [Develop and maintain predictive and econometric models, including marketing mix models and attribution frameworks, to quantify the incremental impact of each marketing channel on conversions, revenue, and customer acquisition.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
  • [Design and execute controlled experiments (A/B and multivariate tests) to assess the effectiveness of ad creatives, audience targeting, and bidding strategies, applying rigorous statistical validation methods.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
  • [Create and automate data pipelines and dashboards to provide real-time insights into marketing performance and customer behavior for cross-functional stakeholders.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
  • [Apply machine learning algorithms and forecasting techniques to predict customer lifetime value (LTV), conversion probability, and channel performance trends.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
  • [Collaborate with cross-functional teams (marketing, data engineering, finance, and product) to integrate data sources, ensure data quality, and align analytical insights with business objectives.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
  • [Communicate findings and recommendations through clear data visualizations, reports, and presentations to both technical and non-technical audiences.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
  • [Continuously evaluate and refine analytical methodologies to improve modeling accuracy, scalability, and business impact.]{segoe="" ui",="" tahoma,="" sans-serif"=""}
  • *Job Requirement: Master's degree in a quantitative field (e.g. Statistics, Analytics, Mathematics, Economics, Data Science, or similar). At least 2 years in a data analytics role, with a focus on performance or digital marketing. proficiency in SQL and data visualization tools, and knowledge of statistical analysis and A/B testing.
Sr Business Intelligence Engineer , Rapid and Rural Logistics
Amazon · Bellevue, WA
Senior
2026-05-14
Requirements
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
Responsibilities
  • Define and own the KPI frameworks and metrics that measure Amazon Now's operational health across Finance, Supply Chain, Delivery, and UTR operations
  • Design, build, and maintain scalable data pipelines (ETL/ELT) that power operational reporting across all four pillars
  • Develop executive-facing dashboards and automated reports (daily, weekly, monthly business reviews) that drive operational decision-making
  • Conduct deep-dive analyses to identify cost reduction opportunities, operational bottlenecks, capacity constraints, and process improvements
  • Build self-serve analytics capabilities so operational stakeholders can answer their own questions at scale
  • Partner with Finance, Operations, Supply Chain, and Delivery leadership to translate business questions into analytical solutions
  • Communicate findings and recommendations to senior leadership through clear data storytelling and written narratives
Sr Business Intelligence Engineer, AWS Marketplace & Partner Services
Amazon · Seattle, WA
Senior
2026-05-14
Requirements
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
  • 1+ years of developing automated reporting experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
Responsibilities
  • In this role you sit at the intersection of question and answer - architecting the intelligent systems that transform raw data into on-demand, business-ready insight. This role designs and deploys agentic data experiences, semantic models, and automated frameworks that allow AWS Marketplace & Partner Services stakeholders to securely inspect data conversationally, at scale, and with trust. Rather than producing static reports, the BIE encodes deep subject matter expertise - metric definitions, cross-domain context, and business logic - directly into AI-consumable systems that reason, validate, and deliver answers.
Experienced Business Intelligence Analyst
The Boeing Company · Everett, WA
Senior
2026-05-14
Senior Data Analyst
El Paso County · Colorado Springs, CO
Senior
2026-05-13
Senior Data Analyst, People Analytics
Uber · San Francisco, CA
Senior
2026-05-13
DPS - FIN - Senior Financial Data Analyst - 0654
TEXAS DEPARTMENT OF PUBLIC SAFETY DEPT 405 · Austin, TX
Senior
2026-05-13
Senior Data Analyst- Financial Services
Capital One · Plano, TX
Senior
2026-05-13
THECB - Data Analyst V (Senior Analyst)
TEXAS HIGHER EDUCATION · Austin, TX
Senior
2026-05-13
Principal, Data Analyst (Data Ventures)
Walmart · Bentonville, AR
Senior
2026-05-13
Senior, Data Analyst
Walmart · Bentonville, AR
Senior
2026-05-13
Senior Data Analyst - USDS (Multiple Positions)
TikTok U.S. Data Security Inc. · Bellevue, WA
Senior
2026-05-13
Senior Software Engineer, Generative AI, GCP Data Analytics
Google · Kirkland, WA
Senior
2026-05-13
Senior Business Intelligence Engineer
Humana · Olympia, WA
Senior Associate's
2026-05-12
Requirements
  • Minimum 5 years of experience using SQL to write complex queries against large data sets to derive insights and visualize the results with modern data visualization software such as Power BI
  • Experience designing, building, and maintaining technology solutions in low-code application technology like Microsoft Power Apps/Power Automate
  • Strong experience working within the healthcare secto
  • Proven ability to work with cross-functional teams to translate requirements between business users and technical development teams
  • Ability to gather, analyze, interpret, and present complex data and create accurate and meaningful information for data reporting and decision support to senior leadership
  • Experience consulting with users at all levels of familiarity with modern BI tools to design and implement the appropriate solution
  • Proficiency in verbal/written communication to senior and executive leadership
  • At minimum, a download speed of 25 mbps and an upload speed of 10 mbps is recommended; wireless, wired cable or DSL connection is suggested
  • Satellite, cellular and microwave connection can be used only if approved by leadership
  • Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
  • Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.
  • Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Preferred
  • Certification in Power BI, Power Platform, Power Apps
  • Experience using Python to create automated solutions
  • Experience using MS SQL Server, PL/SQL, Azure Synapse Analytics and/or Databricks
  • Experience with Power BI report builde
  • Experience analyzing medical claims and provider data, especially using Humana's internal data
  • Experience creating analytics solutions within the healthcare secto
  • *Additional Information
  • This role is not eligible for work visa sponsorship
  • As part of our hiring process for this opportunity, we may contact you via text message and email to gather more information using a software platform called HireVue. HireVue Text, Scheduling and Video technologies allow you to interact with us at the time and location most convenient for you.
  • If you are selected to move forward from your application prescreen, you may receive correspondence inviting you to participate in a pre-recorded Voice, Text Messaging and/or Video interview. Your recorded interview will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.
  • Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Sr Business Data Analyst
EBSCO Information Services · Olympia, WA
Senior
2026-05-12
Responsibilities
  • Collect, process, and analyze large product usage datasets to identify trends, patterns, and anomalies
  • Produce regular and ad hoc reports for internal stakeholders, presenting findings in a clear and accessible manne
  • Collaborate with internal teams to understand reporting needs and deliver relevant insights
  • Manage multiple concurrent projects and deliverables, meeting deadlines without sacrificing quality
  • Contribute to the continuous improvement of data collection, analysis, and reporting processes
  • You will be welcomed to a small but dynamic Usage team that is part of a broader SaaS Product Management team.Our team enjoys the flexibility and greater work life balance working remotely offers.There will be ample resources, tools, training, and support to ensure your success as a Business/Data Analyst II and your development and career growth at EIS.
Senior Data Analyst (Multiple Positions)
TikTok Inc. · Bellevue, WA
Senior Master's
2026-05-12
Requirements
  • Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Data Analytics, Business Analytics, Statistics, Mathematics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Data Analytics, Business Analytics, Statistics, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work experience.
  • Of the required experience, must have 2 years of experience in each of the following:
  • Developing graphical and visual representations of data using business intelligence tool Excel or Tableau;
  • Working with cross-functional teams to design and build self-serve data analysis solutions;
  • Creating, maintaining, and delivering reports using Excel and developing, validating, and maintaining metrics to manage and evaluate business performance;
  • Using SQL coding and database management systems to extract, transform, and analyze data from the platform and enterprise systems; and
  • Constructing advanced queries using SQL.
  • Travel Requirement: International and domestic travel required up to 20%.
  • Type: Full time, 40 hours/week
  • Location: Bellevue, WA
Responsibilities
  • Develop comprehensive analytics frameworks and product metrics to proactively track, attribute, and identify opportunities to improve products and the business.
  • Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.
  • Identify key trends, patterns, and opportunities to drive e-commerce business growth and optimize business and user product offerings.
  • Monitor key performance indicators and develop metrics framework to help measure cross-function team efforts in a quantitative way.
  • Conduct A/B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features.
  • Partner closely with key stakeholders to optimize overall product adoption and performance-driven growth.
  • Provide recommendations for improvements to achieve business goals.
Senior Business Intelligence Engineer
Humana · Boise, ID
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Boise, ID
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Salem, OR
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Salem, OR
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Helena, MT
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Helena, MT
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Cheyenne, WY
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Cheyenne, WY
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Salt Lake City, UT
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Salt Lake City, UT
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Carson City, NV
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Carson City, NV
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Bismarck, ND
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Bismarck, ND
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Pierre, SD
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Pierre, SD
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Sacramento, CA
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Sacramento, CA
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Phoenix, AZ
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Phoenix, AZ
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Santa Fe, NM
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Santa Fe, NM
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Denver, CO
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Denver, CO
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Lincoln, NE
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Lincoln, NE
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Topeka, KS
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Topeka, KS
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Oklahoma City, OK
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Oklahoma City, OK
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Austin, TX
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Austin, TX
Senior
2026-05-12
Sr. Data Analyst - INTL Mexico
Insight Global · Dallas, TX
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Saint Paul, MN
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Saint Paul, MN
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Des Moines, IA
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Des Moines, IA
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Jefferson City, MO
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Jefferson City, MO
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Little Rock, AR
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Little Rock, AR
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Baton Rouge, LA
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Baton Rouge, LA
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Madison, WI
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Madison, WI
Senior
2026-05-12
Business Intelligence Analyst (Senior or Lead)
The Boeing Company · Chicago, IL
Senior
2026-05-12
Senior Business Intelligence Analyst, Cat Digital
Caterpillar, Inc. · Chicago, IL
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Springfield, IL
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Springfield, IL
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Jackson, MS
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Jackson, MS
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Montgomery, AL
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Montgomery, AL
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Nashville, TN
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Nashville, TN
Senior
2026-05-12
Senior Business Intelligence Engineer
Humana · Frankfort, KY
Senior
2026-05-12
Sr Business Data Analyst
EBSCO Information Services · Frankfort, KY
Senior
2026-05-12
Data Analyst - Technical - Senior
Intermountain Health · Boise, ID
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Salem, OR
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Helena, MT
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Cheyenne, WY
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Salt Lake City, UT
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Carson City, NV
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Bismarck, ND
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Pierre, SD
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Phoenix, AZ
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Santa Fe, NM
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Denver, CO
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Lincoln, NE
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Topeka, KS
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Oklahoma City, OK
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Austin, TX
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Saint Paul, MN
Senior
2026-05-10
Senior Healthcare Data Analyst - Agency Policy Specialist
State of Minnesota · Saint Paul, MN
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Des Moines, IA
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Jefferson City, MO
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Little Rock, AR
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Baton Rouge, LA
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Madison, WI
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Springfield, IL
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Jackson, MS
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Montgomery, AL
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Nashville, TN
Senior
2026-05-10
Data Analyst - Technical - Senior
Intermountain Health · Frankfort, KY
Senior
2026-05-10
Senior Business Intelligence Engineer
ManpowerGroup · Redmond, WA
Senior
2026-05-09
Requirements
  • 5+ years of experience in Business Intelligence, Data Engineering, or Analytics roles
  • Advanced SQL skills with experience working on large-scale datasets (billions of rows)
  • Strong experience with AWS data stack (Redshift, S3, Athena, Glue, Lambda)
  • Proficiency in Python (or similar) for data processing and automation
  • Experience building ETL pipelines and managing full data lifecycle
  • Strong experience with BI tools (QuickSight, Tableau, or Power BI)
  • Experience with data modeling, data warehousing, and datamarts
  • Proven ability to influence business decisions through data insights
Preferred
  • Experience working with distributed data processing frameworks (Spark, Trino, EMR)
  • Knowledge of modern table formats (Apache Iceberg, Delta Lake)
  • Experience with Airflow or workflow orchestration tools
  • Background in statistical modeling or machine learning techniques
  • Experience working with executive stakeholders in fast-paced environments
  • Key Success Metrics
  • Reduction in data pipeline latency and improvement in refresh cycles
  • Increased adoption of dashboards and self-service analytics tools
  • Quantifiable business impact (e.g., revenue growth, cost savings, efficiency gains)
  • Data quality improvements and reduction in reporting errors
  • Scalability and reliability of data infrastructure
Responsibilities
  • Data Engineering & Architecture
  • Design, build, and maintain scalable ETL pipelines processing billions of records using modern data architectures (e.g., Apache Iceberg, S3, distributed query engines).
  • Develop and optimize data workflows leveraging AWS services such as Redshift, Athena, Glue, Lambda, and EMR.
  • Build and maintain data lakes and datamarts that consolidate data from disparate sources (S3, relational databases, logging systems).
  • Ensure high data availability and performance for large-scale analytics workloads.
  • Analytics & Business Intelligence
  • Develop and maintain executive-facing dashboards and reporting solutions (e.g., QuickSight, Tableau, Power BI) to support weekly and quarterly business reviews.
  • Translate complex business problems into data-driven insights, including opportunity tracking, revenue optimization, and operational efficiency metrics.
  • Design multidimensional reporting frameworks to enable trend analysis and long-term strategic planning.
  • Automate reporting processes to reduce manual effort and improve data accessibility across teams.
  • Advanced Analytics & Data Science
  • Apply statistical techniques (A/B testing, regression models, segmentation algorithms) to solve business problems and guide decision-making.
  • Perform deep-dive root cause analysis on operational issues and system performance.
  • Develop predictive or classification models to identify high-value segments and optimize targeting strategies.
  • Data Quality & Governance
  • Design and implement data validation frameworks to ensure accuracy, consistency, and reliability across datasets.
  • Lead large-scale data migrations and ensure integrity across systems.
  • Establish best practices for data governance, monitoring, and schema management.
  • Cross-Functional Collaboration
  • Partner closely with Product, Engineering, Finance, and Business teams to define KPIs and deliver actionable insights.
  • Communicate findings and strategic recommendations to senior leadership (Director/VP level).
  • Collaborate on product analytics initiatives to improve user behavior tracking and feature adoption measurement.
Senior Business Intelligence Engineer
CenterWell · Olympia, WA
Senior Master's
2026-05-09
Requirements
  • Bachelor's degree and 5+ years of technical experience in data analysis OR Master's degree and 3+ years of experience.
  • Advanced experience working with big and complex data sets within large organizations.
  • Experience analyzing data to solve different business problems and create data visualizations that create strategic direction.
  • Proficiency in understanding Healthcare related data.
  • Proficiency in communication to senior and executive leadership.
  • Must be passionate about contributing to an organization focused on improving consumer experiences.
  • Will work within the Eastern Time (EST) zone.
Preferred
  • Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
  • Advanced in SQL, SAS, and other data systems.
  • Experience with tools such as Tableau and Qlik for creating data visualizations.
  • Expertise in data mining, forecasting, simulation, and predictive modeling.
  • Experience creating analytics solutions for multiple healthcare sectors.
  • Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Olympia, WA
Senior Bachelor's
2026-05-09
Requirements
  • 8+ years of experience in related field, including experience with specific tools in scope such as Google Cloud Platform, preferred
  • Experience/proficiency in SQL, Python, Tableau, Google Looke
  • Demonstrated expertise of solution design and modeling
  • Experience with business critical applications.
  • Excellent written and oral communication skills.
  • Demonstrated understanding of financial implications of projects.
  • Experience on large-scale implementation programs preferred
  • Business Requirements Documentation Experience preferred
  • Bachelor's Degree in related field (i.e. Computer Science) or equivalent work experience preferred
  • *What is expected at this level:
  • Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
  • Participates in the development of policies and procedures to achieve specific goals
  • Recommends new practices, processes, metrics, or models
  • Works on or may lead complex projects of large scope
  • Projects may have significant and long-term impact
  • Provides solutions which may set precedent
  • Independently determines method for completion of new projects
  • Receives guidance on overall project objectives
  • Acts as a mentor to less experienced colleagues
Preferred
  • *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
Responsibilities
  • The primary role of the Senior Data Analyst is to support and expand the technical capabilities of the Financial Insights team across an array of technologies and business domains, including Credit, Rebates, Accounting, and FP&A. This role will require expertise in deployment of Machine Learning models in the Cardinal Health environment, and therefore strong Python and SDLC experience is preferred. This person will work collaboratively with Shared Services/Cloud teams, offshore/onshore developers, 3rd party business partners, and business users to solve business problems and deliver solutions.
  • Work with cross-functional partners across our highly matrixed organization to understand both upstream inputs to, and downstream impact of, current and future processes
  • Prepares and analyzes data. This can include: locating, profiling, cleansing, extracting, mapping, importing, transforming, validating or modeling.
  • Ensure technical specifications are aligned with both business needs and technical design standards
  • Partner with external consultants, solution providers, and managed services organizations to enable product/solution development as well as meeting documented standards
  • Interact with multiple organizations to track project progress, identify risks, communicate risks and status to leadership, and to assess potential impacts to the business.
  • Generate ideas and suggestions for process and technical improvements for platforms and processes supported by the team
  • Ensure platforms and tools meet or exceed data security standards, including internal and external audits performed
  • Willingness to become a techno-functional expert in the solutions being implemented.
  • Use strong verbal and written communication skills that non-technical business and end-users can understand.
  • Develop best practices for solution and tool frameworks, leveraging standard naming conventions, scripting and coding practices to ensure consistency of data solution.
Sr Dir - HR Data Analytics
Maximus · Olympia, WA
Senior Bachelor's
2026-05-09
Requirements
  • '- Bachelor's degree in relevant field of study.
  • 12+ years of relevant professional experience required.?
Responsibilities
  • Team Leadership
  • Lead, coach, and grow a multi-disciplinary team (analytics, data engineering, and/or reporting); set priorities, operating rhythms, and performance expectations aligned to enterprise needs.
  • Build organizational capability through talent strategy, succession planning, and knowledge management; manage budgets and vendor performance to deliver high-quality, reliable analytics services.
  • HR Analytics & Insights
  • Set the enterprise people analytics strategy, including executive dashboards and an integrated insights cadence for the HR Leadership Team and business executives.
  • Oversee advanced analytics (e.g., predictive modeling) to quantify drivers of retention, performance, engagement, and productivity at enterprise scale.
  • Deliver board- and executive-ready narratives that connect workforce insights to business outcomes, risk, and investment decisions.
  • Establish disciplined methodologies for insight generation (data validation, assumptions, documentation, and reproducibility) and set quality standards for enterprise reporting.
  • Assess and prioritize AI use cases across the HR function, partnering with HRBPs and Centers of Excellence to identify high-value opportunities
  • Build team capability in AI-assisted analytics tools, including prompt engineering, output validation, and critical evaluation of model results
  • Translate AI-generated insights into actionable narratives for CHRO and executive audiences, ensuring findings are communicated with appropriate confidence levels and caveats
  • Maintain data lineage documentation so that any metric or prediction can be traced back to its source, logic, and assumptions
  • Govern access permissions for AI-generated outputs, ensuring sensitive insights are restricted to appropriate audiences
  • Serve as an internal advocate for responsible AI use, raising concerns when AI applications risk producing inequitable or legally problematic outcomes
  • Strategic Workforce Intelligence
  • Facilitate enterprise workforce intelligence in partnership with Talent Acquisition, Learning, Total Rewards, HRBPs, and Finance to inform multi-year workforce and skills strategies.
  • In partnership with the Strategic Workforce Planning (SWP) team, support forecasting, scenario planning, and capacity models; translate strategic plans into demand/supply insights, leading indicators, and quantified trade-offs.
  • Data Quality, Governance & Infrastructure
  • Own enterprise HR data governance for people analytics, including platform strategy, vendor partnerships, and integration with enterprise data/BI ecosystems.
  • Establish and enforce enterprise measurement standards (definitions, hierarchies, metadata, and stewardship) to ensure a single source of truth for workforce metrics.
  • Ensure data privacy, security, and compliance practices (including retention and access controls) are embedded in analytics products and AI-enabled workflows.
  • Define the analytics technology roadmap in partnership with the Technology team; evaluate, select, and govern tools to improve insight delivery, automation, and self-service analytics across HR and the enterprise.
  • Cross-Functional Partnership
  • Serve as the enterprise people analytics advisor to the CHRO and HR Leadership Team, shaping decisions through data-driven perspectives and measurable outcomes.
  • Lead analytics support for enterprise initiatives (e.g., growth, transformation, M&A integration, skills strategy), aligning metrics, governance, and change adoption.
  • Influence senior stakeholders across HR, Technology, Finance, and operations; establish engagement models, service levels, and governance forums that enable enterprise-wide alignment.
  • Oversee advanced analytics (e.g., predictive modeling) to quantify the drivers of retention, performance, engagement, and productivity at enterprise scale.
  • Deliver board- and executive-ready narratives that connect workforce insights to business outcomes, risks, and investment decisions.
  • Establish disciplined methodologies for insight generation (including data validation, assumptions, documentation, and reproducibility) and set quality standards for enterprise reporting.
  • Collaborate with the Strategic Workforce Planning (SWP) team to support forecasting, scenario planning, and capacity models; translate strategic plans into demand and supply insights, leading indicators, and quantified trade-offs.
  • Translate AI-generated insights into actionable narratives for CHRO and executive audiences, ensuring that findings are communicated with appropriate confidence levels and caveats.
  • Lead, coach, and grow a multidisciplinary team (analytics, data engineering, and/or reporting); set priorities, operating rhythms, and performance expectations aligned with enterprise needs.
Senior Business Intelligence Engineer
CenterWell · Boise, ID
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Boise, ID
Senior
2026-05-09
Sr Data Analyst
Simplot · Boise, ID
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Boise, ID
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Salem, OR
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Salem, OR
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Salem, OR
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Helena, MT
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Helena, MT
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Helena, MT
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Cheyenne, WY
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Cheyenne, WY
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Cheyenne, WY
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Salt Lake City, UT
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Salt Lake City, UT
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Salt Lake City, UT
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Carson City, NV
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Carson City, NV
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Carson City, NV
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Bismarck, ND
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Bismarck, ND
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Bismarck, ND
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Pierre, SD
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Pierre, SD
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Pierre, SD
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Sacramento, CA
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Sacramento, CA
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Phoenix, AZ
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Phoenix, AZ
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Phoenix, AZ
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Santa Fe, NM
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Santa Fe, NM
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Santa Fe, NM
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Denver, CO
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Denver, CO
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Denver, CO
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Lincoln, NE
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Lincoln, NE
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Lincoln, NE
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Topeka, KS
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Topeka, KS
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Topeka, KS
Senior
2026-05-09
Sr. Specialist, Quality Data Analytics
Colgate-Palmolive · Topeka, KS
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Oklahoma City, OK
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Oklahoma City, OK
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Oklahoma City, OK
Senior
2026-05-09
Data Analyst Sr. - Level 3
Lockheed Martin · Fort Worth, TX
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Austin, TX
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Austin, TX
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Saint Paul, MN
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Saint Paul, MN
Senior
2026-05-09
Senior Quality Engineer - Trending and Data Analytics
Medtronic · Mounds View, MN
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Saint Paul, MN
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Des Moines, IA
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Des Moines, IA
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Des Moines, IA
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Jefferson City, MO
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Jefferson City, MO
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Jefferson City, MO
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Little Rock, AR
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Little Rock, AR
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Little Rock, AR
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Baton Rouge, LA
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Baton Rouge, LA
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Baton Rouge, LA
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Madison, WI
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Madison, WI
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Madison, WI
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Springfield, IL
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Springfield, IL
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Springfield, IL
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Jackson, MS
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Jackson, MS
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Jackson, MS
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Montgomery, AL
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Montgomery, AL
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Nashville, TN
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Nashville, TN
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Nashville, TN
Senior
2026-05-09
Senior Business Intelligence Engineer
CenterWell · Frankfort, KY
Senior
2026-05-09
Senior Data Analyst, Finance Digital Solutions
Cardinal Health · Frankfort, KY
Senior
2026-05-09
Sr Dir - HR Data Analytics
Maximus · Frankfort, KY
Senior
2026-05-09
Principal, Data Analyst
Walmart · Bentonville, AR
Senior
2026-05-08
Senior, Data Analyst
Walmart · Bentonville, AR
Senior
2026-05-08
Senior Product Data Analyst (Hybrid)
American Family Insurance - Corporate · Madison, WI
Senior
2026-05-08
Surest Senior Data Analyst
UnitedHealth Group · Chicago, IL
Senior
2026-05-08
Senior Data analyst
UnitedHealth Group · Brentwood, TN
Senior
2026-05-08
Sr. Data Analyst, Financial Analytics
Sunrun · San Francisco, CA
Senior
2026-05-08
Sr. Business Intelligence Engineer, Amazon Publisher Monetization, Analytics
Amazon · Seattle, WA
Senior
2026-05-07
Requirements
  • Experience working as a BIE in a technology company
  • 5+ years of professional or military experience
  • 5+ years of SQL experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
  • Experience with AI/ML technologies
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
  • Knowledge of digital advertising or search advertising or analytics solutions (e.g. Google Analytics)
Responsibilities
  • Own end-to-end business intelligence for Live Events, from data modeling through executive-ready insights
  • Build deep monetization domain expertise to proactively surface opportunities the business isn't yet asking about
  • Partner with Product, Business Development, and Executive leadership to translate data into go-to-market strategies and publisher actions with measurable business impact
  • Conduct deep-dive analyses of business problems, formulate recommendations, and present to senior leadership
  • Build and architect AI-powered analytics experiences (conversational agents, prompt-driven interfaces) using LLMs and generative AI
  • Define the analytics roadmap for your business area - identify what to build, what to deprecate, and where AI can replace manual workflows
  • Mentor BIEs and raise the technical bar for analytics quality, tooling, and methodology across the team
  • Design scalable, reusable applications and data models
Senior Data Analyst
State of Utah - Jobs · Salt Lake City, UT
Senior
2026-05-07
Senior Enterprise Data Analyst
Blue Cross and Blue Shield of Minnesota · Eagan, MN
Senior
2026-05-07
Senior, Data Analyst
Walmart · Bentonville, AR
Senior
2026-05-07
Lead People Data Analyst
American Family Insurance - Corporate · Madison, WI
Senior
2026-05-07
Senior Data Analyst
Aston Carter · Barrington, IL
Senior
2026-05-07
Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Policy
Amazon · Seattle, WA
Senior Master's
2026-05-06
Requirements
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • 5+ years of SQL, ETL or Oracle experience
  • 5+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 5+ years of performing statistical analysis experience
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
  • Master's degree in statistics, data science, or an equivalent quantitative field
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • 1+ years of developing automated reporting experience
Responsibilities
  • Work directly with the models/data. Work with large data sets and the technical tools needed to work with them
  • Manage complex, manual, revenue routing processes to ensure revenue is reported accurately
  • Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL). Build data models leveraging Python.
  • Work cross-functionally with billing to ensure revenue is flowing to the right customer accounts
  • Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes
  • Use analytical and statistical rigor to solve complex problems and drive business decisions
  • Drive towards simple, scalable solutions to difficult problems
  • Project-manage multiple workflows and communicate complex analytical results, both written and verbally
  • Work with key business stakeholders to understand requirements and shape analytical deliverables
  • Think strategically about business, product, and technical challenges, with the ability to work cross-organizationally
Sr. Business Intel Engineer, WIMSI
Amazon · Seattle, WA
Senior
2026-05-05
Requirements
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
Responsibilities
  • Design, develop, and oversee the reporting pipelines to onboard agency managed media metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL, Python, Spark, AWS Lambda, etc.).
  • Onboard and monitor new features for current and future roadmap of reporting and measurement products .to enable data-driven decision-making
  • Collaborate with stakeholders (marketing, advertising, finance, engineering, science, legal, and product management) to understand business domains, requirements, and expectations.
  • Work closely with owners of data source systems to gain insights into their capabilities and limitations
  • Deliver minimally to moderately complex data analysis to support business needs
  • Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation.
  • The successful candidate will demonstrate an ability to influence business owners, support thoughtful decision-making, and adapt to a rapidly-evolving environment. They will collaborate with executives and business units across Amazon, bring excellent verbal and written communication skills, and prioritize the most impactful projects and programs to drive businesses forward. A typical day in this role provides an opportunity of building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions.
Business Intelligence - Senior Programmer
U.S. Bank · Minneapolis, MN
Senior
2026-05-05
Business Intelligence - Senior Programmer
U.S. Bank · Owensboro, KY
Senior
2026-05-05
Senior Submissions/Encounter Healthcare Data Analyst
Blue Cross and Blue Shield of Minnesota · Eagan, MN
Senior
2026-05-04
Senior Data Analyst, Partner Analytics
Rock Family of Companies · Seattle, WA
Senior Bachelor's
2026-05-02
Responsibilities
  • Be a subject matter expert on Redfin's Partner Business Funnel
  • Leverage your analytical expertise to deliver simple answers to complex, ambiguous questions.
  • Excel at stakeholder communication and translating analytics findings into strategic action.
  • Collaborate with team members across Brokerage and Partner analytics to review analyses, code, and dashboards to ensure high fidelity deliverables that answer the right questions.
Senior Healthcare Data Analyst
CVS Health · Utah
Senior
2026-05-02
Senior Healthcare Data Analyst
CVS Health · Nevada
Senior
2026-05-02
Senior Healthcare Data Analyst
CVS Health · Arizona
Senior
2026-05-02
Senior Healthcare Data Analyst
CVS Health · New Mexico
Senior
2026-05-02
Senior Healthcare Data Analyst
CVS Health · Colorado
Senior
2026-05-02
Senior Healthcare Data Analyst
CVS Health · Nebraska
Senior
2026-05-02
Sr. Business Intelligence Developer
ULINE INC · Pleasant Prairie, WI
Senior
2026-05-02
Enterprise Data Analytics Architect
Washington State Patrol · Olympia, WA
Senior
2026-05-01
Responsibilities
  • This position will provide an enterprise-level role that develops and manages the agency's enterprise analytics program and associated standards, procedures, and policies. Further, in support of the businesses within the agency, this position will develop analytical data products and dashboards and mentor the business in learning to ask for information that can tell the agency's story in reporting. This position will have primary responsibilities and authority to establish the enterprise data analytics and literacy environment, technology/project configuration and contract parameters, policies and procedures, governance, implementation activities, reporting and metrics for WSP's data analytics program. This position reports to the Chief Data Officer.
  • *Our new teammate will be able to:
  • Develop and maintain WSP data analytics and literacy policies and procedures to advance WSP's competency in data analysis internally/externally, across all work streams and all stages of the data lifecycle.
  • Collaborate cross-functionally with business, technical, and data teams as well as other internal stakeholders to gather and translate requirements into actionable, testable, and measurable stories with clear acceptance criteria.
  • Establish a deep understanding of agency IT and Network architecture, particularly activities and infrastructure that effects the ability to conduct broad enterprise analytics goals.
  • Develop a working knowledge of multiple business work processes and workflows, so that mentorship and recommendations can be provided to teach the business what to ask for in data reporting.
  • Develop dashboards, reports, and implement leadership and staff adoption of data products.
  • Participate in the agency Data Governance Council.
  • Conduct general continuous high-level awareness and communications.
  • Educate agency staff by designing and delivering specific and targeted data analytics and literacy training.
  • Communicate with legislature, stakeholders, and the public on WSP data analysis practices.
  • Build relationships and collaborate with external stakeholders and partners.
  • Deliver business - focused reports prioritizing Field Operations and Office of Professional Standards first.
  • Collaborate with governance, risk, and security teams.
  • Advance agency compete
Senior Business Intelligence Analyst
ZILLOW INC · Seattle, WA
Senior Master's
2026-05-01

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

Senior Data Analyst - Equity Research
WESTERN GOVERNORS UNIVERSITY · Salt Lake City, UT
Senior
2026-05-01
Sr. Healthcare Data Analyst
Comagine Health · Jackson, MS
Senior
2026-05-01
Senior Data Analyst
Southern Home Care Services, Inc. · Louisville, KY
Senior
2026-05-01
Sr. Business Intelligence Engineer, AWS Compliance & Security Assurance
Amazon · Seattle, WA
Senior Bachelor's
2026-04-30
Requirements
  • 5+ years of SQL experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with AWS technologies
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience working directly with business stakeholders to translate between data and business needs
  • 5+ years of relevant professional experience in business intelligence, data engineering, or analytics engineering
Preferred
  • Experience managing, analyzing and communicating results to senior management
  • Experience mentoring team members on best practices
  • Experience leveraging technology to drive process improvements
  • Experience with anomaly detection and automated monitoring frameworks for data products
  • Bachelor's degree in a related technical field (e.g., Statistics, Mathematics, Economics, Engineering, etc.)
  • Experience in the application of AI technologies to drive operational efficiencies and speed to insights
  • Experience using AWS services such as S3, Glue, Redshift, Bedrock, Lambda, Step functions and SageMake
Responsibilities
  • Partner cross-functionally to gather requirements and deliver end-to-end analytics solutions - translating ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools
  • Collaborate with Software Development Engineers, Business Intelligence Engineers, Data Engineers, and Data Scientists to transform large, complex datasets into structured, analytics-ready insights that drive business outcomes
  • Design, develop, and deploy production-grade data products - from datasets and pipelines to dashboards and measurement frameworks - enforcing mandatory code reviews, data quality checks, anomaly detection, and monitoring to ensure consistency, reliability, and reusability at scale
  • Drive alignment on metrics definitions, measurement frameworks, taxonomy, and data governance across stakeholders
  • Simplify and automate reporting, enabling stakeholders to self-serve at scale
  • Leverage AI to deliver practical and sophisticated solutions, pushing beyond conventional analytics approaches
  • Mentor and develop junior team members - establishing and driving best analytics practices across the team
  • Communicate results, insights, and recommendations across all levels of the organization - from engineering teams to senior leadership - distilling complex findings into clear, actionable narratives tailored to each audience
Senior Data Analyst
Cardinal Health · Olympia, WA
Senior Bachelor's
2026-04-30
Requirements
  • Bachelor's degree in related field, or equivalent work experience preferred
  • 8-12 years of experience preferred
  • Experience analyzing data leveraging SQL, Python for data models in GCP (BigQuery, BigTable, AtScale), while producing concepts in data visualization tools preferred
  • Experience writing basic SQL queries, stored procedures, etc. preferred
  • Experience in data visualization tools such as Tableau and Looker preferred
  • Healthcare and Finance analytics experience preferred
  • Excellent verbal and oral communication skills preferred
  • Experience in Agile methodologies preferred
  • *What is expected of you and others at this level
  • Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
  • Participates in the development of policies and procedures to achieve specific goals
  • Recommends new practices, processes, metrics, or models
  • Works on, and may lead, complex projects of large scope
  • Provides solutions which may set precedent. Understands and shares short-term and long-term impact.
  • Independently determines method for completion of new projects
  • Understands overall project objectives
  • Acts as a mentor to internal and external partners
Preferred
  • *Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
Responsibilities
  • Lead enterprise-level evaluation of finance systems and operational processes to identify inefficiencies and drive scalable, measurable improvements. Leverage strong finance/accounting knowledge to translate ambiguous business needs into structured problem statements and actionable recommendations.
  • Apply SAP expertise to interpret financial data, validate requirements and ensure alignment between business processes, source systems and reporting outputs.
  • Lead major analytics initiatives that deliver measurable ROI, leveraging tools such as Looker, Tableau, and foundational knowledge of GCP BigQuery to build scalable reporting solutions.
  • Applies deep expertise in concepts, principles, and technical capabilities to independently manage and lead a diverse portfolio of high-impact, cross-functional projects.
  • Independently defines methodologies, frameworks, and analytical approaches for new and ambiguous projects, ensuring clarity, structure, and rigor from inception through execution.
  • Requirements elicitation - ability to take ownership and drive the business in requirements gathering
  • Independently drive end-to-end requirements elicitation, pre-execution activities, engaging and aligning stakeholders, clarifying business needs, defining scope and owning requirements through analysis, design, development support and unit/UAT testing.
  • Continuously expand domain expertise-actively learning new business processes, technologies, tools, and data platforms to strengthen solution quality and accelerate delivery.
  • Communicate complex findings through clear storytelling tailored to diverse audiences, proactively highlighting risks, trends, and strategic insights for business and finance leaders.
  • Partner with business and technology teams to strengthen relationships, build trust, and ensure solutions meet functional needs while maintaining technical accuracy and audit readiness.
  • Perform advanced exploratory data analysis using strong SQL skills, validating hypotheses, uncovering root causes, and synthesizing complex insights that influence business decision-making.
  • Collaborate with Data Engineering teams to design conceptual and logical data models, ensuring consistency in metric definitions and enabling standardized enterprise reporting.
  • Demonstrate accountability for the end-to-end solution-including understanding code logic, validating functionality, and ensuring outputs meet requirements and business expectations.
  • Contributes to and influences the creation, refinement, and adoption of policies, standards, and procedures that advance organizational goals and drive operational excellence.
  • Identifies opportunities for improvement and recommends new practices, scalable processes, KPIs, and analytical models that enhance decision-making and business performance.
Sr. Healthcare Data Analyst
Comagine Health · Seattle, WA
Senior
2026-04-30
Responsibilities
  • Design and lead analytics for quality improvement, research, and care management projects
  • Develop and maintain dashboards, reports, and ad hoc analyses
  • Serve as a subject matter expert on healthcare data interpretation and use
  • Apply advanced statistical methods and programming solutions
  • Standardize analytic and reporting
Senior Data Analyst
Cardinal Health · Boise, ID
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Salem, OR
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Helena, MT
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Cheyenne, WY
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Salt Lake City, UT
Senior
2026-04-30
Sr. Healthcare Data Analyst
COMAGINE HEALTH · Murray, UT
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Carson City, NV
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Bismarck, ND
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Pierre, SD
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Phoenix, AZ
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Santa Fe, NM
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Denver, CO
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Lincoln, NE
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Topeka, KS
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Oklahoma City, OK
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Saint Paul, MN
Senior
2026-04-30
Sr Data Analyst
Target · Minneapolis, MN
Senior
2026-04-30
Sr Data Analyst
Target · Brooklyn Park, MN
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Des Moines, IA
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Jefferson City, MO
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Little Rock, AR
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Baton Rouge, LA
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Madison, WI
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Jackson, MS
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Nashville, TN
Senior
2026-04-30
Senior Data Analyst
Cardinal Health · Frankfort, KY
Senior
2026-04-30
Data Analytics Senior Consultant - Data Lake
Deloitte · Seattle, WA
Senior Bachelor's
2026-04-29
Requirements
  • 2+ years of relevant Analytics consulting or industry experience
  • 2+ Experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (Langchain, CrewAI, etc.)
  • 2+ years experience in statistical analysis, machine learning, and data mining techniques.
  • 2+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
  • 2+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
  • 1+ years of experience with SOC threat hunting and incident response
  • Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation.
  • Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.
Preferred
  • Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
  • Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
  • Experience parsing and normalizing cyber or IT specific telemetry datasets
  • Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
  • Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
  • Ability to work independently and manage multiple task assignments.
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Senior Software Engineer, Google.org, Data Analytics
Google · Seattle, WA
Senior Doctorate
2026-04-29
Requirements
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • Experience in SQL.
Preferred
  • Master's degree or PhD in Computer Science, or a related technical field.
  • 5 years of experience with data structures and algorithms.
  • 5 years of experience with performance and large-scale systems data analysis, visualization tools, or debugging.
  • Experience supporting non-profits or other philanthropic organizations.
Responsibilities
  • Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
  • We strive to organize the world's information to make it universally accessible and useful, but we know that relevance means something different to each person. The Social team recognizes that great information is more than pages -- it's also about relationships. We want all of Google's products to reflect something personal, and we're dedicated to making your Google experience centered around you.
  • The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
  • Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
  • Own the design and architecture of project components, scoping problems and recommending solutions for both short and long-term needs.
  • Drive the evaluation and recommendation of AI strategies (e.g., prompt engineering) to solve technical problems and increase team velocity.
  • Implement high-complexity technical solutions.
  • Design and execute testing strategies, including integration and performance testing, to ensure quality and reliability.
  • Guide implementation, ensuring the systems are scalable and maintainable.
  • Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Sr. Business Intelligence Engineer, ASP Ops - WWSO Sales & Biz Ops
Amazon · Seattle, WA
Senior Master's
2026-04-29
Requirements
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
  • Master's degree in statistics, data science, or an equivalent quantitative field
  • Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
  • Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
  • Experience visualizing data in Tableau or other relevant data visualization software
  • Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in computer architecture
Responsibilities
  • Architect and develop scalable and resilient data solutions, using both traditional dashboards and AI Agents, enabling self-service business intelligence for analytics users.
  • Build ETL pipelines, statistical models, and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities.
  • Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes
  • Collaborate with product managers, engineers, data scientists, and business stakeholders to understand strategies, goals, and objectives, and align the analytics roadmap accordingly.
  • Design and implement end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress.
  • Perform complex analyses to inform product strategy, design, and business priorities, presenting insights and recommendations to senior leadership.
  • Continuously improve reporting and processes, automating and scaling solutions while ensuring stability and performance.
  • Identify opportunities for new metrics, techniques, and strategies to enhance targeting, measurement, and overall product capabilities.
  • Stay up-to-date with industry trends and best practices, contributing to the team's evolution through Agentic AI.
Senior Data Analyst
Advanced Energy · Denver, CO
Senior
2026-04-29
Data Analytics Senior Consultant - Data Lake
Deloitte · Nashville, TN
Senior
2026-04-29
Data Analytics Senior Consultant - Data Lake
Deloitte · Memphis, TN
Senior
2026-04-29
Data Analytics Senior Consultant - Data Lake
Deloitte · Hermitage, TN
Senior
2026-04-29
Senior Solutions Architect - Data Analytics & AI, Partner Solutions Architect
Amazon · Bellevue, WA
Senior Bachelor's
2026-04-28
Requirements
  • Bachelor's degree
  • 5+ years of design, implementation, or consulting in applications and infrastructures experience
  • Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
  • 2+ years of technology/software sales experience
Preferred
  • Experience in a customer-facing role such as solutions architect, technical consultant, or professional services
  • Experience with Deep Learning architectures and Transformer models (BERT, GPT, T5, etc.) including training, fine-tuning, and deployment at scale
  • Experience with Agentic AI Solution Framework including (Multi-agent system architecture and orchestration patterns (supervisor agents, agent-to-agent collaboration, Integration with agentic frameworks, Agentic protocols including Model Context Protocol (MCP) and Agent-to-Agent (A2A), Memory management strategies (short-term/long-term memory, session state, context management)
  • Experience with publications, presentations, or speaking engagements at industry conferences on AI/ML or data architecture topics
Responsibilities
  • Architect and design scalable AI/ML and data solutions with strategic partners using AWS services (Amazon Bedrock, SageMaker, Redshift, EMR, Kinesis, and other AI/data services)
  • Provide technical leadership on complex partner opportunities, guiding solution architecture from ideation through production deployment
  • Lead solution ideation sessions and technical account planning with partners to identify opportunities for AI/ML and data-driven solutions
  • Conduct architectural reviews and provide best practices guidance on data platform design, ML pipelines, and AI solution patterns
  • Design and implement agentic AI solutions using Amazon Bedrock AgentCore, AWS Strands Agents SDK, and multi-agent orchestration patterns
  • Guide partners in building production-grade autonomous AI systems across horizontal (SDLC/application modernization) and vertical (industry-specific) use cases
  • Drive partner enablement through technical workshops, immersion days, and thought leadership content focused on AI/ML and data architecture
  • Collaborate with AWS product teams to provide partner feedback and influence AI/ML and data service roadmaps
  • Ensure security, compliance, and architectural excellence in partner-built solutions through structured review frameworks
  • Support partner competency development and certification in AI/ML and data analytics domains
  • Review and respond to partner technical questions via email and Slack. Join architecture review calls to validate partner solution designs. Write code samples and integration guides for partner engineering teams. Conduct hands-on workshops demonstrating AWS service integration patterns. Collaborate with AWS account teams on joint customer opportunities. Update technical documentation and reference architectures. Troubleshoot partner deployment issues and optimize performance. Meet with partner product managers/CPO/CTO to discuss roadmap alignment. Create demo environments showcasing joint solutions. Present solution to Partner's customers. Provide feedback to AWS service teams based on partner requirements.
Sr. Business Intelligence Engineer , AWS GDSP 3PX
Amazon · Seattle, WA
Senior Master's
2026-04-28
Requirements
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience with data visualization using Tableau, Quicksight, or similar tools
Preferred
  • Experience managing, analyzing and communicating results to senior leadership
  • Master's degree in statistics, data science, or an equivalent quantitative field
  • Experience integrating multiple loosely connected datasets to tell a consistent end-to-end story
  • Experience in the application of GenAI technologies to drive operational efficiencies and speed to insights
Responsibilities
  • Lead business discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing.
  • Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services.
  • Develop a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.
  • Develop relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues.
  • Manage and develop analytical tools or reports that through the automation existing inspection mechanisms such as business reviews, annual planning, and forecasting processes.
  • Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.
  • Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems,
  • Create new mechanisms and business processes that simplifies, standardizes and enables operational excellence.
Principal, Data Analyst - Decision Sciences
Walmart · Bentonville, AR
Senior
2026-04-28
Sensory Scientist- Principal, Data Analyst
Walmart · Bentonville, AR
Senior
2026-04-25
Sr Business Intelligence Analyst
BECU · Seattle, WA
Senior
2026-04-24
Responsibilities
  • *Design Scalable Data Solutions:Influence and design data models, structures, and transformation logic that enableaccurateand consistent reporting across the organization.
  • *Own End-to-End Delivery:Lead the full lifecycle of analytical solutions, including requirements gathering, data mapping, solution design, validation, and implementation.
  • *Bridge Business & Technology:Serve as a liaison between business stakeholders and technical teams, translating complex needs into structured, data-driven solutions grounded in system capabilities.
  • *Partner on Data Systems & Archite
Sr. Business Intelligence Engineer, AMZL ORBIT
Amazon · Bellevue, WA
Senior
2026-04-24
Requirements
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
Responsibilities
  • Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
  • Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
  • Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
  • Lead and develop a team of Business Intelligence Engineers and Business Analysts
  • Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
  • Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation
  • Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
Staff Data Analyst
OKTA · Bellevue, WA
Senior Bachelor's
2026-04-24
Requirements
  • BS in CS, MIS, related technical degree
  • 7+ years experience as a Data Analyst/Data Engineer/BI Develope
  • Excellent communication skills, both written and verbal, ability to work with all levels of the organization
  • Provide thought leadership on the evolution of our analytics maturity, moving beyond traditional descriptive dashboards toward predictive, AI-enabled solutions that utilize NLP and deep analysis to drive proactive decision-making
  • Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools
  • Advanced analytics, data science, AI/ML experience and techniques are a plus
  • Ability to work cross-functionally and communicate with technical and non-technic
Responsibilities
  • Serve as the definitive SME for Customer First analytics, defining the data models, metrics, and value drivers that steer company strategy.
  • Lead the exploration and integration of AI-driven tools to automate workflows and pioneer new methodologies for data discovery, including defining the foundational semantic models that power our AI agents.
  • Architect the analytics strategy for customer insights, leveraging product telemetry and public data to identify and predict risk and growth signals.
  • Own the vision for our semantic layer, ensuring it supports advanced modeling, self-service, and high-integrity dashboarding.
  • Participate in high-impact initiatives in predictive modeling (cross-sell, churn, LTV) that directly influence GTM execution.
  • Partner with leadership and account teams to translate raw insights into a high-impact, action oriented Command Center, empowering account teams to instantly prioritize and execute on the most urgent opportunities and risks.
  • Partner with Engineering to co-design data pipelines and transformations that ensure long-term scalability and data quality.
  • Set the bar for excellence in data storytelling and modeling, mentoring the broader team on best practices and process improvement.
Sr. Data Analyst, Commercial Intelligence
PitchBook Data · Seattle, WA
Senior Master's
2026-04-23
Requirements
  • Bachelor's degree in Business, Analytics, Statistics, Economics, or a related field (Master's preferred)
  • 5+ years of experience in revenue operations, business analytics, marketing operations, sales operations, or a related analytical role
  • Strong understanding of B2B revenue and GTM met
Responsibilities
  • The Revenue Operations team is responsible for designing, maintaining, and continuously improving the systems, data, and insights that power PitchBook's go-to-market engine. Operating at the intersection of Sales, Marketing, Customer Success, Finance, Product, and IT, this team drives efficiency, visibility, and revenue impact across the full customer lifecycle.
  • We are seeking a Senior RevOps Data Analyst to help shape how the business measures performance, identifies growth opportunities, and makes data-driven decisions. This is more than an analytics role, it is a strategic partnership role for someone who combines strong business acumen with advanced analytical skills and a systems-level view of revenue.
  • In this role, you will serve as a trusted advisor to senior business leaders, translating complex data into clear insights that guide strategy, execution, and optimization across pipeline, revenue, and customer engagement. You will help build scalable analytics solutions, define success metrics, and elevate how teams use data to make decisions.
  • Partner with senior GTM and Revenue leaders to define success metrics, identify growth opportunities, and influence strategic decisions through data-backed insights
  • Leverage Salesforce (SFDC) reporting expertise to build and interpret reports and dashboards, translating complex data from systems like Marketo and Gong into clear, actionable insights. Provide visibility into pipeline health, customer lifecycle, and revenue performance while ensuring data integrity, consistent KPIs, and scalable reporting.
  • Design and maintain advanced reporting frameworks, dashboards, and models that surface insights across funnel performance, forecasting, retention, and expansion
  • Act as a trusted analytical advisor across Sales, Marketing, Customer Success, and Finance, providing a holistic view of revenue performance and operational efficiency
  • Ensure data quality, governance, and consistency across revenue systems and platforms, championing best practices and scalable processes
  • Identify opportunities for automation, advanced analytics, and predictive insights to improve efficiency, accuracy, and decision-making
  • Mentor analysts and business partners by promoting analytical rigor, a data-driven mindset, and adoption of best-in-class tools and practices
  • Collaborate closely with Product, Finance, IT, and GTM Operations teams to align insights with broader company objectives
  • Support company values through role modeling and strong cross-functional partnership
  • Participate in key company initiatives and projects as needed
Senior Data Analyst - Reservoir Engineering
Continental Resources · Oklahoma City, OK
Senior
2026-04-23
(USA) Senior, Data Analyst - Last Mile Delivery - Fraud Detection
Walmart · Bentonville, AR
Senior
2026-04-23
Senior Business Intelligence Engineer
KeyMe LLC · Hebron, KY
Senior
2026-04-21
Sr. Data Analyst - (Hybrid In Office / Remote)
UnitedHealth Group · Little Rock, AR
Senior
2026-04-19
Staff Software Engineer, Generative AI, Data Analytics
Google · Kirkland, WA
Senior Bachelor's
2026-04-18
Requirements
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience testing, and launching software products.
Preferred
  • Experience reading code in one or more languages such as Java, Python, NodeJS, Golang and exposure to GenAI / AI Agent-based architectures in solution design.
  • Experience with AI/ML techniques including Recommender Systems, Generative AI, Large Language Models, Information Retrieval, etc.
  • Understanding of the modern Data and AI landscape, across Generative AI, Vector Databases, Retrieval-Augmented Generation (RAG), and the practical application of Data Agents to solve enterprise data challenges (e.g., conversational analytics, text-to-SQL, automating data science/AI workflows).
Responsibilities
  • Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models.
  • We build the industry's best data agents to help customers make more, better, and faster data-driven decisions-achieved by enriching the customer knowledge layer, automating data preparation, providing tailored agent harnesses, and leveraging the advanced capabilities of BigQuery and its ecosystem.
  • The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
  • We're the driving channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
  • The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
  • Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
  • Lead the technical strategy and architectural design of the core reasoning engine that translates natural language into reliable SQL insights, ensuring the platform scales to support complex enterprise data exploration.
  • Drive cross-functional collaboration with AI/ML, UX, and Product teams to define the "agentic" future of BigQuery, bridging the gap between raw data and business-ready answers.
  • Establish and maintain engineering excellence by setting the bar for performance, reliability, and observability of production-critical agent services across the BigQuery ecosystem.
  • Mentor and influence a broad group of engineers, identifying and refining ambiguous, high-impact problems into tractable projects that advance our data-centric AI capabilities.
  • Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Senior Data Analyst (Agile)
Goldbelt Glacier Health Services · Elizabethtown, KY
Senior
2026-04-17
Business Intelligence Lead (Remote)
GovCIO · Olympia, WA
Senior Bachelor's
2026-04-16
Requirements
  • Bachelor's degree with 15+ years of experience (or commensurate experience)
  • 10+ years of experience designing, implementing, and maintaining SharePoint and Power Platform solutions (Power BI, Power Apps, Power Automate)
  • Experience delivering solutions in support of federal healthcare or government programs
  • Proficiency in DAX, Power Query, and SQL
  • Experience with data engineering and cross-cloud data integration
  • Demonstrated ability to build scalable, sustainable M365 solutions that meet federal standards
  • Experience managing SharePoint environments, including governance, permissions, and user administration
  • *Clearance Required: None (Public Trust may be required)
Preferred
  • Experience with Azure Databricks or similar cloud data platforms
  • Background in UI/UX design within SharePoint and Power Platform
  • Experience supporting VA or other federal health agency programs
  • Microsoft Power BI certification or equivalent
  • Familiarity with Palantir Foundry or similar data platforms
Responsibilities
  • This person in this position leads the design, implementation, and maintenance of Microsoft 365 and Power Platform solutions in support of federal programs. This role oversees integration-focused delivery across the M365 ecosystem while driving data engineering and business intelligence initiatives.
  • Design, implement, and maintain SharePoint, Power Platform (Power BI, Power Automate, Power Apps), and M365 collaboration tools in support of federal healthcare programs
  • Ensure SharePoint environments reflect visual professionalism, governance standards, and scalable architecture across multiple divisions and user groups
  • Develop and maintain Power BI dashboards and reports to support program analytics and clinical decision-making
  • Lead data engineering efforts including cross-cloud data pipeline design, integration, and management leveraging Azure Databricks and M365 services
  • Deliver scalable, sustainable solutions that meet federal industry standards and can be maintained long-term with minimal resources
  • Collaborate with cross-functional stakeholders to gather requirements and translate them into technical Power Platform and SharePoint solutions
  • Provide technical leadership and guidance to team members on M365, Power Platform, and data visualization best practices
Business Intelligence Lead (Remote)
GovCIO · Boise, ID
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Salem, OR
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Helena, MT
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Cheyenne, WY
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Carson City, NV
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Bismarck, ND
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Pierre, SD
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Santa Fe, NM
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Lincoln, NE
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Topeka, KS
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Oklahoma City, OK
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Des Moines, IA
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Little Rock, AR
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Baton Rouge, LA
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Jackson, MS
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Montgomery, AL
Senior
2026-04-16
Business Intelligence Lead (Remote)
GovCIO · Frankfort, KY
Senior
2026-04-16
Senior Business Intelligence Engineer, ProdOps OAT, Amazon Leo
Amazon · Bellevue, WA
Senior
2026-04-15
Principal Data Analyst
Mom's Meals · Ankeny, IA
Senior
2026-04-14
Senior Associate, Business Intel Analyst
L3Harris · Camden, AR
Senior
2026-04-11
Sr. Business Intelligence Engineer, Leo Global Customer Operations
Amazon · Bellevue, WA
Senior
2026-04-10
Senior Business Intelligence Engineer - Conversational Channels
Humana · Olympia, WA
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Boise, ID
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Salem, OR
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Helena, MT
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Cheyenne, WY
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Carson City, NV
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Bismarck, ND
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Pierre, SD
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Santa Fe, NM
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Lincoln, NE
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Oklahoma City, OK
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Little Rock, AR
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Baton Rouge, LA
Senior
2026-03-31
Senior Business Intelligence Engineer - Conversational Channels
Humana · Jackson, MS
Senior
2026-03-31
Sr. Data Analyst- Remote
Sharecare · Olympia, WA
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Boise, ID
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Salem, OR
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Helena, MT
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Cheyenne, WY
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Carson City, NV
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Bismarck, ND
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Pierre, SD
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Santa Fe, NM
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Lincoln, NE
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Oklahoma City, OK
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Little Rock, AR
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Baton Rouge, LA
Senior
2026-03-28
Sr. Data Analyst- Remote
Sharecare · Jackson, MS
Senior
2026-03-28
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Olympia, WA
Senior
2026-03-25
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Boise, ID
Senior
2026-03-25
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Salem, OR
Senior
2026-03-25
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Helena, MT
Senior
2026-03-25
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Cheyenne, WY
Senior
2026-03-25
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Carson City, NV
Senior
2026-03-25
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Bismarck, ND
Senior
2026-03-25
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Pierre, SD
Senior
2026-03-25
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Santa Fe, NM
Senior
2026-03-25
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Lincoln, NE
Senior
2026-03-25
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Oklahoma City, OK
Senior
2026-03-25
Principal Software Developer - Data Analytics - US Citizenship Required
Oracle · Little Rock, AR
Senior
2026-03-25
Principal Data Analyst-GTM
Cornerstone onDemand · Portland, OR
Senior
2026-03-21
Principal Data Analyst-GTM
Cornerstone onDemand · Boise, ID
Senior
2026-03-21
Principal Data Analyst-GTM
Cornerstone onDemand · Billings, MT
Senior
2026-03-21
Principal Data Analyst-GTM
Cornerstone onDemand · Cheyenne, WY
Senior
2026-03-21
Principal Data Analyst-GTM
Cornerstone onDemand · Las Vegas, NV
Senior
2026-03-21
Principal Data Analyst-GTM
Cornerstone onDemand · Fargo, ND
Senior
2026-03-21
Principal Data Analyst-GTM
Cornerstone onDemand · Sioux Falls, SD
Senior
2026-03-21
Principal Data Analyst-GTM
Cornerstone onDemand · Albuquerque, NM
Senior
2026-03-21
Principal Data Analyst-GTM
Cornerstone onDemand · Omaha, NE
Senior
2026-03-21
Principal Data Analyst-GTM
Cornerstone onDemand · Oklahoma City, OK
Senior
2026-03-21
Principal Data Analyst-GTM
Cornerstone onDemand · Little Rock, AR
Senior
2026-03-21
Principal Healthcare Data Analyst - Remote
Providence St. Joseph Health · Renton, WA
Senior
2026-03-20
Senior, Data Analyst - Transportation Modeling
Walmart · Bentonville, AR
Senior
2026-03-19
Senior Business Intel Engineer
Amazon · Bellevue, WA
Senior
2026-03-18
Principal Software Engineer, Data Analytics
Infoblox · Tacoma, WA
Senior
2026-03-08
Senior Business Intelligence Engineer, Under-the-Roof Business Intelligence
Amazon · Bellevue, WA
Senior
2026-03-07
Senior, Data Analyst - Fashion Network
Walmart · Bentonville, AR
Senior
2026-03-04
Senior Data Analyst
Cribl, Inc · Olympia, WA
Senior
2026-02-26
Sr Data Analyst
Univar Solutions USA Inc. · Clyde Hill, WA
Senior
2026-02-26
Sr Business Intelligence Engineer, CLS Technology
Amazon · Bellevue, WA
Senior
2025-12-05
Source: CareerOneStop (U.S. DOL) · Search more jobs