Data Analyst Medical Economics | Remote

Data Analyst Medical Economics | 100% Remote

We are expanding our Medical Economics team and seeking a Data Analyst who can turn complex healthcare data into clear, actionable insights. This role is ideal for someone with strong SQL, advanced Excel/Power BI skills, and deep experience with Medicare, Medicaid, or Marketplace analytics. Candidates with managed care, actuarial, or medical economics consulting backgrounds tend to excel in this environment.

• Analyze Medicare, Medicaid, and Marketplace data to support Medical Loss Ratio (MLR), Quality and Affordability Initiatives (QAI), and financial performance targets.
• Build and validate metrics, dashboards, and models using SQL, Power BI, Power Pivot, and advanced Excel functions.
• Develop and maintain complex SQL queries for data extraction, validation, and transformation across large databases.
• Evaluate provider payment methodologies, including DRG, APC, and EAPG pricing.
• Perform financial analytics, forecasting, and sizing to support business cases and operational decisions.
• Partner with cross-functional teams, including Actuarial, Finance, and Clinical Operations, to assess key performance indicators and cost-of-care drivers.
• Ensure data quality, conduct verification processes, and maintain documentation of data logic and modeling assumptions.
• Contribute to ongoing enhancements of Medical Economics reporting tools, dashboards, and methodologies.

• Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or related field; or equivalent experience.
• 4+ years of experience working with large healthcare datasets, data verification, and data management; OR 2+ years of IT experience with a strong data focus.
• Strong SQL skills, including writing and interpreting complex queries, SELECT statements, JOINs, and aggregations.
• Advanced Excel skills:
  Pivot Tables, Power Query, VLOOKUP/XLOOKUP, nested formulas, and financial modeling.
• Experience with Power BI, including DAX and Power Pivot.
• Background in Medicare, Medicaid, Marketplace, managed care analytics, or medical economics.
• Understanding of healthcare payment methodologies: DRG, APC, EAPG, or similar.

• Experience with Python or R for statistical analysis or automation.
• Actuarial experience (health insurance, pricing, or reserving) or work in medical economics consulting.
• Familiarity with evaluation of QAI initiatives, MLR targets, and healthcare KPIs.

• Fully remote environment with a collaborative, data-driven team.
• High-impact role directly influencing affordability initiatives, cost-of-care strategies, and financial performance.
• Opportunity to work across Finance, Actuarial, Clinical, and Analytics teams.

• Mid-Senior level

• Full-time

• Other and Information Technology

• Hospitals and Health Care
• IT Services and IT Consulting