Policy Analytics Specialist — Healthcare Reimbursement Strategy

LE001 Berkeley Research Group, LLC; United States; On-site; USD 100,000 - 150,000; Full time

Job summary

Berkeley Research Group in the United States seeks a Policy Analyst to support Washington, DC–based policy teams, applying quantitative analysis to inform policy development and evaluate proposals. The role combines qualitative and quantitative work focusing on Medicare, Medicaid, and reimbursement, with responsibilities across modeling, data analysis, and client-facing deliverables.

Candidates should have a strong analytical background and the ability to translate findings into practical

Qualifications

• Bachelor's degree in public policy or related field is required.
• Graduate degree is preferred.
• Minimum four years of healthcare consulting or policy research experience.
• Strong understanding of Medicare/Medicaid policy and data sources.

Responsibilities

• Research and interpret federal and state healthcare legislation, regulations, and payment policies.
• Support policy development by identifying policy options and developing evidence-based recommendations.
• Define data needs, select datasets and methods, and assess effects on spending and access.
• Develop specifications for data analytics and translate results into client-ready insights.
• Prepare client-ready presentations and summaries, and present findings to teams and clients.
• Take ownership of work streams and manage priorities with project leaders.

Skills

Quantitative analysis

Policy research

Strong communication

Education

Bachelor's degree in public policy, public health, economics, healthcare management, statistics, mathematics, business, or a related field

Graduate degree preferred

Tools

SAS

SQL

R

Stata

Job description

Berkeley Research Group in the United States seeks a Policy Analyst to support Washington, DC–based policy teams, applying quantitative analysis to inform policy development and evaluate proposals. The role combines qualitative and quantitative work focusing on Medicare, Medicaid, and reimbursement, with responsibilities across modeling, data analysis, and client-facing deliverables.

Candidates should have a strong analytical background and the ability to translate findings into practical