Application ends: October 8, 2026
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Job Overview
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Date PostedJuly 8, 2026
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LocationRemote
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Expiration dateOctober 8, 2026
Job Description
JOB DETAILS
Requirements
- College degree in a STEM field: e.g. Economics, Actuarial Science, Health Economics, Biostatistics, Health Informatics, Health Services Research.
- 4+ years of quantitative analysis experience.
Responsibilities
- Work under the guidance of the Associate Director, Medical Economics, serving as a and highly engaged analytic partner to drive market performance.
- Analyze regional trends, competitor activities, and industry developments to identify new opportunities and risks.
- Perform in-depth analysis of integrated claims and operational data (medical, pharmacy, lab, auths) to identify cost and trend drivers informing market operations.
- Provide proactive financial guidance on emerging market trends and their potential impact on our financial performance.
- Assess the effectiveness of market-level programs and integrate into the central affordability program.
- Build retrospective studies to measure the actual financial and clinical outcomes of implemented affordability initiatives, comparing results against initial projections.
- Build repeatable analytical processes that scale across market areas.
- Present materials for market finance review meetings and manage follow-up with market leadership
- Develop best practices in analytics, automation, and documentation, contributing to department programs around innovation, AI use, and tooling improvements.
- Compliance with all applicable laws and regulations
- Other duties as assigned
Desired Qualifications
- Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one.
- Excellent communication, collaboration, and relationship-building skills.
- Strong understanding of health insurance concepts, data sources, and nuances.
- Proficiency using SQL, R, and/or Python to query, manipulate and analyze data.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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