Senior Healthcare Economics Consultant. Minneapolis LilyLifestyle

Requisition number: 2343705

Job category: Healthcare Economics

Location: Remote (U.S.) with required in-office days for Minneapolis or Washington, D.C. area.

You will enjoy the flexibility to work remotely from anywhere within the U.S., with a requirement for in-office work minimum of four days per week for employees in the Minneapolis or Washington, D.C. area.

• Develop and maintain highly optimized Tableau dashboards to support Risk Adjustment reporting and analytics
• Write and manage efficient, scalable SQL code to support data pipelines and dashboard requirements
• Perform ad-hoc analysis to support decision-making and business needs across Risk Adjustment initiatives
• Maintain thorough documentation, including dashboard reference materials and development logs
• Support the migration of existing reports and dashboards from Tableau to Power BI where needed
• Troubleshoot data or performance issues related to dashboards and underlying queries
• Collaborate cross-functionally with clinical, business, and analytics teams to translate requirements into actionable reporting solutions
• Ensure data accuracy and quality through validation, QA checks, and proactive monitoring
• Manage the full lifecycle of dashboard development—from requirements gathering to deployment and user support
• Stay current on CMS Risk Adjustment guidelines to ensure accurate and compliant reporting

• Bachelor's degree (or higher) in Statistics, Mathematics, Engineering, Finance, Health Administration, or other closely related fields
• 4+ years of experience in a healthcare analytics role
• 4+ years of experience specializing in the design and development of highly interactive Tableau dashboards
• 4+ years of experience with SQL
• 4+ years of experience with strong communication and documentation skills to support cross-team collaboration
• 4+ years of experience in demonstrated commitment to data accuracy and a strong ability to present data through impactful visual storytelling
• 2+ years of experience with Snowflake
• 1+ years of experience with Power BI

• Master's degreein quantitative fields such as Statistics, Mathematics, Engineering Finance, Health Administration, or other related fields
• 6+ years of experience in healthcare analytics
• Experience integrating Python scripts within Tableau using Tab Py for advanced calculations and model-driven visualization
• Risk adjustment experience
• Knowledge of CMS regulations and Medicare Advantage risk adjustment methodologies such CMS-HCC model (Hierarchical Condition Category), and risk score calculation
• Proficiency in Power BI, especially in the context of transitioning Tableau reports
• Strong attention to details and accuracy
• Strong problem-solving skills and analytical thinking across data visualization, analysis, and reporting
• Exposure to AI capabilities
• Expert in Python or R

Benefits and Compensation

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. In addition to your salary, we offer a comprehensive benefits package, incentive and recognition programs, equity stock purchase, and 401(k) contribution (all benefits are subject to eligibility requirements).

The salary is compliant with all minimum wage laws as applicable.

* All Telecommuters will be required to adhere to United Health Group's Telecommuter Policy.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

United Health Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.