Data Analyst IV - Medical Economics - Remote

Title: Data Analyst IV - Medical Economics
Status: Full-time
Location: Remote (U.S. only - CST/EST preferred; PST must work 6 AM-3 PM PST)
Relocation: Not Available
Salary: Salary to be discussed with a Bryant Staffing Solutions Recruiter.
Bonus: 8% Targeted Bonus
Visa Support: Not Available

We are seeking an experienced Data Analyst IV to join a growing Medical Economics team within a major healthcare organization. This fully remote role offers the opportunity to work closely with cross-functional teams to support key financial and clinical analytics initiatives. Candidates located in CST or EST time zones are preferred; those in PST must be available to work early hours to align with business needs.

• Serve as a lead analyst for large, complex healthcare datasets from various sources (claims, member data, provider data, HEDIS, pharmacy, and more).
• Deliver actionable insights to improve operations and support business decisions.
• Perform advanced SQL queries and data modeling for financial modeling, trend analysis, and root-cause analysis.
• Create and optimize tables, stored procedures, and indexes for performance.
• Develop dashboards and visualizations using Excel, Power BI, and other tools.
• Ensure compliance with state and federal data reporting requirements.
• Mentor junior analysts and assist in workload distribution.

• Bachelor's degree in a relevant field (economics, statistics, public health, actuarial science, healthcare admin, etc.) OR 9+ years of equivalent experience without a degree.
• Minimum 5 years of experience with large-scale databases, data verification, and data management.
• Strong SQL expertise with complex JOINs, SELECT statements, and stored procedures.
• Advanced Excel capabilities (Power Query, Pivot Tables, VLOOKUP/XLOOKUP, formula nesting).
• Experience with healthcare analytics including Medicare/Medicaid/Marketplace data.
• Familiarity with payment methodologies (DRG, APC, EAPG).
• Experience with Power BI (DAX, Power Pivot).
• Knowledge of Python or R is a plus.
• Previous success in Medical Economics, actuarial analysis, or consulting roles in managed care is highly valued.