Data Analyst Medical Economics | 100% 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. Key Responsibilities 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, PowerPivot, 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. Required Qualifications 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. Preferred Qualifications 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. Why Join Us 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. Seniority level Mid-Senior level Employment type Full-time Job function Other and Information Technology Industries Hospitals and Health Care IT Services and IT Consulting #J-18808-Ljbffr