Required Job Qualifications:

• Bachelor's degreeand 6 years of experience in health care services, statistical analysis, or insurance industry economics or related field OR Master’s degree with 4 years of experience in health care services, statistical analysis, or insurance industry economics or related field OR PhDwith 2 years of experiencein health care services, statistical analysis, or insurance industry economics or related field OR 10 years of experience in health care services, statistical analysis, or insurance industry economics or related field

• Understanding, and being highly proficient at querying a wide variety of internal and external data sources to get meaningful insights.

• Strong analytical skills and proficiency in computer languages, such as SQL, Python, R, etc.

• Ability to create a dynamic and visually engaging dashboard leveragingdata visualization tools such as Tableau or Power BI

• High degree of business intelligence and understanding how to take a business case from inception to customer or partner execution. 

• Experience leading an analytic initiative to success. 

• Excellent communication and presentation skills.

• Ability to work independently and as part of a team.

• Performance excellence in championing initiatives and collaborating with multiple stakeholders to bring the initiative to life.

• Ability to work under pressure and delivery high quality output to senior leadership to decision making within short timeline.

Preferred Job Qualifications:

• Intermediate to advanced expertise in:
  • Medical drug landscape, including biologics, biosimilars, and coding systems (HCPCS, NDC)
  • Drug reimbursement methodologies (e.g., ASP-based pricing, fee schedules, contracting strategies)
  • Healthcare claims data (medical and/or pharmacy)
• Demonstrated experience working within a managed care or health insurance environment
• Strong understanding of line-of-business distinctions, including Commercial, Individual and Family Market, Medicare, and Medicaid, and their respective analytical and reimbursement approaches
• Demonstrated success in leading analytical initiatives from concept through execution and delivery
• Experience developing, maintaining, and automating recurring and ad hoc reports to support pricing operations and business decision-making
• Excellent communication and presentation skills, with the ability to clearly convey complex findings to both technical and non-technical audiences, including senior leadership
• Experience utilizing transparency data sources and industry benchmarks (e.g., machine-readable files, CMS ASP data) to support pricing and reimbursement analysis
• Ability to apply benchmarking methodologies to assess reimbursement rates and identify optimization opportunities
• Experience supporting or developing preferred drug strategies
• Proven experience working with large-scale healthcare datasets using Teradata or similar data platforms

This is a Flex (Hybrid) role: 3 days in office, 2 days work from home.

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