Data Analyst Principal

Healthpartners•Bloomington, MN

About The Position

HealthPartners is hiring a Data Analyst Principal - Product Owner. The Product Owner drives the delivery of high-quality analytic products by prioritizing work, shaping user stories, and ensuring alignment with business objectives. Acting as the primary liaison to sponsor, the PO ensures clear communication of goals, trade-offs, and progress. They collaborate with developers, analysts, and engineers in Agile teams to build scalable data solutions, maintain domain expertise, and provide consultative support for strategic decisions. Key responsibilities include managing the product roadmap, planning sprints, validating deliverables, and championing data accuracy, security, and compliance—all while driving adoption and measurable business value. ACCOUNTABILITIES: All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning Acts as domain experts, partnering with business groups, and data engineers to frame problems, model, clean and integrate data, and determine the best way to leverage that data in service of a goal Works with business partners to understand and create their “user stories;” they identify and clarify opportunities to leverage data analytics in service of customer or business value Independently creates, deploys, monitors, and maintains highly interactive data visualizations and analytic services Leads and participates in strategic measurement activities, including Return on Investment (ROI) analyses, Key Performance Indicator (KPI) development, risk assessment and indexing, as well as domain-specific measurements (example: readmission rates) Works with their teams to ensure data accessibility, accuracy, and quality, and may act as data stewards by contributing to management of central data stores and metadata Provides consultative, data-driven support on product and business strategy development Defines, sets up, and executes test cases to validate that analytic and software solutions meet the business acceptance criteria Communicates solution tradeoffs to business partners to frame and influence project decisions Leverages internal and external sources to validate data accuracy and benchmark results Promotes and champions our security and de-identification standards, while they handle sensitive administrative data (medical and pharmacy claims, clinical data, and other sensitive organizational data assets).

Requirements

Bachelor's degree in economics, mathematics, business, computer science, data or social science, operations research, statistics, or a related quantitative field. Alternate experience and education in equivalent areas is acceptable. Experience in more than one area is strongly preferred.
Five or more years direct experience using technical and analytical skills to extract, integrate, layout and interpret complex and disparate data sources (certification/other training in lieu of yrs experience)
Demonstrated expertise using data visualization tools such as Microsoft Power BI, Tableau, etc. Must have mastered the ability to tell stories using data
Must have expertise in SQL and relational database design
Expert programming skills using Python, R, etc. (“or similar”)
Demonstrated experience and skill presenting findings and actionable recommendations
Must be motivated, self-driven, curious, and creative
Must be skilled communicators, and demonstrate an ability to work with development teams, end users and business leaders
Demonstrated ability to support and complement the work of a diverse development and / or operations team
Communication & Stakeholder Management Ability to clearly convey priorities, trade-offs, and progress to sponsors and stakeholders, and translate business needs into actionable user stories.
Build Business Domain Knowledge Develop a deep understanding of the relevant business area to ensure solutions align with strategic goals.
Prioritization & Decision-Making Expertise in managing backlogs, setting priorities, and making trade-offs to maximize business value.
Agile & Scrum Practices Familiarity with agile methodologies, sprint planning, and collaboration within cross-functional teams.
Technical Awareness Understanding of data systems, analytics tools, and visualization platforms to guide development effectively.
Problem-Solving & Adaptability Ability to frame complex problems, adapt to changing requirements, and deliver incremental value.
Leadership & Influence Leading without direct authority, motivating teams, and influencing decisions through clear rationale.
Collaboration Working effectively with developers, analysts, engineers, and business partners

Nice To Haves

Knowledge of health care operations
Exposure to agile/scrum (including tools like JIRA)
Experience using Azure Data Lake, DevOps, Power Automate, or other tools in the Azure Suite
Working knowledge of medical terminology, medical coding systems; ICD-10, CPT4, DRG, GPI.
Knowledge of statistical methods and techniques (predictive modeling, segmentation, regression, etc.)
Familiarity with software development, data and integration architecture
Experience working with unstructured or semi-structured data
Pharmacy data experience

Responsibilities

Acts as domain experts, partnering with business groups, and data engineers to frame problems, model, clean and integrate data, and determine the best way to leverage that data in service of a goal
Works with business partners to understand and create their “user stories;” they identify and clarify opportunities to leverage data analytics in service of customer or business value
Independently creates, deploys, monitors, and maintains highly interactive data visualizations and analytic services
Leads and participates in strategic measurement activities, including Return on Investment (ROI) analyses, Key Performance Indicator (KPI) development, risk assessment and indexing, as well as domain-specific measurements (example: readmission rates)
Works with their teams to ensure data accessibility, accuracy, and quality, and may act as data stewards by contributing to management of central data stores and metadata
Provides consultative, data-driven support on product and business strategy development
Defines, sets up, and executes test cases to validate that analytic and software solutions meet the business acceptance criteria
Communicates solution tradeoffs to business partners to frame and influence project decisions
Leverages internal and external sources to validate data accuracy and benchmark results
Promotes and champions our security and de-identification standards, while they handle sensitive administrative data (medical and pharmacy claims, clinical data, and other sensitive organizational data assets)