Senior Healthcare Economics Analyst

Description:

Job Role

ProgenyHealth is seeking an experienced Sr. Healthcare Economics Analyst to join our Medical Economics team.

The Senior Healthcare Economics Analyst plays a critical role in demonstrating the value and impact of ProgenyHealth’s care management programs. This highly analytical, hands-on position focuses on evaluating healthcare cost, utilization, and clinical outcomes using large claims and EMR datasets. The role partners closely with the Director of Healthcare Economics and cross-functional stakeholders to produce actionable insights that inform client reporting, program optimization, and growth initiatives.

This is a highly visible, individual-contributor role requiring strong analytical thinking, technical expertise, and the ability to translate complex data into clear, compelling narratives for internal and external audiences.

Responsibilities:

• Analyze claims and EMR data to evaluate program performance, including cost, utilization, and clinical outcomes
• Support development of ROI analyses and performance reporting for clients and prospective clients
• Build and maintain recurring and ad hoc analyses, ensuring accuracy and clarity of results
• Translate business questions into structured analyses with guidance from the Director
• Identify trends, outliers, and key drivers within healthcare data and clearly communicate findings
• Partner with clinical, client success, and internal teams to support decision-making and continuous improvement
• Contribute to the development and standardization of reporting, data processes, and analytical approaches
• Prepare clear, concise summaries and presentations for internal and external stakeholders

Requirements:

Required Skills & Experience:

• A minimum of 4 years of experience working with healthcare claims data in a payer, managed care, or healthcare analytics environment
• Strong SQL (or similar) skills with proven experience in the ability to query, manipulate, and analyze large datasets
• Experience analyzing healthcare and utilization data to identify root causes of variation regarding spend/costs; exposure to Medicaid populations preferred
• Familiarity with clinical (EMR) data and how it complements claims-based analysis
• Experience building analyses or models to support business or operational decision-making
• Experience presenting findings to stakeholders in a clear and concise way
• Experience in maternity, neonatal, or population health management programs.
• Familiarity with data visualization tools such as Tableau or Power BI .
• Bachelor’s degree required; Master’s degree (MBA, MPH, MS) in a related discipline preferred.

What Sets You Apart:

• Curious and proactive. You don’t just complete tasks, you ask why and look for deeper insight
• Comfortable with some ambiguity and willing to work through unclear or evolving requirements
• Strong sense of ownership. You take responsibility for your work and follow through
• Thoughtful communicator. You can explain complex findings in a clear, practical way
• Organized and adaptable. You can manage multiple priorities and shift as needed
• Motivated to grow. You want to expand your skills and take on more responsibility over time

Compensation and Benefits

This position has a salary range of $110,000 - $135,000 annually based on relevant experience. The actual compensation offered may vary based on factors including, but not limited to, relevant experience, education, skills, internal equity, geographic location, and applicable law .

In addition to base pay, some of the benefits we offer our team are:

• Paid Time Off
• Paid Parental Leave
• Medical, dental, vision benefits
• 401K with company match
• Short- and Long-Term Disability
• Group Life Insurance
• Tuition reimbursement
• Professional development opportunities

ProgenyHealth positively recruits people from diverse backgrounds, including individuals with disabilities - if you need an accommodation to interview, please contact us by email: [email protected] All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.