Medical Economics & Business Process Manager | Philadelphia, PA, USA | Remote
Job
Selby Jennings
Remote
Full-Time
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Job Description
Manager, Medical Economics & Business Analytics - Remote A leading healthcare organization is seeking a highly technical Manager-level professional to join its Medical Economics and Analytics team. This is a hands-on, player-coach role focused on delivering actionable insights that drive business performance across multiple markets. Key Responsibilities
- Manage and develop a small team of analysts
- Oversee analytics for multiple regional markets, delivering ongoing performance insights
- Conduct total cost of care (TCOC) analysis and support medical economics reporting
- Perform deep-dive, ad hoc analyses to inform key business decisions
- Write, optimize, and review complex SQL queries across large healthcare datasets
- Work directly with claims data to identify trends, opportunities, and risks
- Train and mentor junior analysts, elevating technical capabilities across the team
- Improve data quality processes and reduce reporting burden on senior leadership Required Qualifications
- Strong, hands-on SQL and data programming experience (non-negotiable)
- Proven experience working with healthcare claims data / medical datasets
- Ability to generate insights and ensure data integrity in a fast-paced environment
- Experience mentoring or training junior analysts in technical skillsets
- Exposure to modern data platforms (experience with Databricks or similar cloud environments preferred; willingness to learn is essential) Preferred Background
- Actuarial training or exam progress (ASA/FSA not required but a plus)
- Prior experience in consulting environments (e.g., healthcare analytics or actuarial consulting firms)
- Background in payer-side analytics, medical economics, or population health What We're Looking For
- A true player-coach who enjoys both leading and doing
- Strong technical depth-this is not a project management role
- Someone who thrives in a hands-on environment and can translate data into business value
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