Principal Data Analyst

HealthPartners•Bloomington, MN

3d•Hybrid

About The Position

HealthPartners is hiring a Principal Data Analyst. Our mission is to provide simple and affordable health care, and data plays a critical role in improving member and patient experiences, advancing health outcomes, and reducing the cost of care. The Principal Data Analyst serves as the Product Owner for HealthPartners' enterprise ERP reporting portfolio, partnering with business stakeholders and the reporting delivery team to prioritize work, manage the product backlog, define requirements, and guide delivery of reporting solutions that support Finance, Human Resources, Payroll, Supply Chain, and other operational areas. Working in a collaborative Agile environment, this individual partners with developers, data engineers, data scientists, and business leaders to deliver reporting and analytics solutions that transform data into actionable insights. This role requires a strong understanding of business operations, reporting needs, and data capabilities, along with the ability to balance competing priorities across a complex portfolio of initiatives. Through stakeholder engagement, roadmap planning, backlog governance, and delivery oversight, the Principal Data Analyst helps ensure reporting solutions align with organizational goals and provide meaningful value to the business. This position is essential to supporting ongoing reporting needs, advancing the ERP reporting strategy, and delivering high-quality analytics solutions that support HealthPartners' mission.

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 (5) years of firsthand 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.
Experience using programming languages such as Python, R, or similar tools for data analysis and problem-solving.
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.

Nice To Haves

Knowledge of health care operations
Exposure to agile/scrum (including tools like JIRA)
Expert-level knowledge of programming languages such as Python, R, or similar, with demonstrated experience using them to solve complex analytical and business challenges.
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.

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 function 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 manage sensitive administrative data (medical and pharmacy claims, clinical data, and other sensitive organizational data assets).