Market Access Data Analyst

Overview

About Magnolia Market Access partners with pharmaceutical manufacturers, biotechnology, and life sciences companies to navigate payer requirements, strengthen value communication, and accelerate patient access to innovative therapies. We bring together market access strategy, analytics, health policy, and real-world evidence to deliver practical, data-driven recommendations that support development, launch, and lifecycle decision-making. Our teams work closely with clients to translate complex data into clear insights that inform payer engagement, access strategy, and evidence planning.

Magnolia Market Access is a fully remote organization, with team members located across the country. We also have offices in New York City and Bridgewater, New Jersey, which are available for employees who prefer an office-based environment. While our work is primarily remote, we place a strong emphasis on employee engagement, mentorship, and professional development, and are committed to providing associates with regular interaction, coaching, and support to foster growth and development.

The Market Access Data Analyst supports the team by turning complex healthcare data and market information into decision-ready insights. This role is quantitatively focused and ideal for candidates with a few years of experience who enjoy translating data and analysis into actionable strategic insights. The Market Access Data Analyst will support projects including payer mix analyses, coverage and formulary assessments, site-of-care evaluations, patient journey mapping, competitive and market landscape reviews, and policy-informed access strategy initiatives by generating data-driven insights that help U.S. healthcare stakeholders understand access dynamics, payer behavior, reimbursement landscapes, and strategic opportunities.

• Analyze healthcare datasets (e.g., medical and prescription drug claims data, electronic health records, survey data, and other real-world data sources) to understand access barriers, utilization patterns, and drivers of coverage and reimbursement outcomes.
• Build and maintain analytical models and tools in Excel and/or a programming environment (e.g., SAS, SQL, R, Python) to support commercialization and market access analyses.
• Translate analysis results and findings into clear outputs, tables, charts, and narratives for client deliverables (PowerPoint/Word), including executive-ready summaries.
• Support market access strategy work streams by synthesizing payer policies, formulary and coverage information, and stakeholder feedback with quantitative insights.
• Help manage and develop internal datasets and analytical assets to improve efficiency, reproducibility, and consistency across projects.
• Contribute to proposal development and requests for proposals responses by conducting background research, drafting methods, summarizing approaches, and developing illustrative analyses.
• Participate in internal quality review, team meetings, and continuous improvement efforts.
• Collaborate across teams to support integrated client solutions spanning healthy policy, reimbursement, value strategy, and health economics and outcomes research.
• Develop project management skills and assume responsibility for leading projects over time.

Medical insurance, Vision insurance, Dental insurance, 401(k)

Bachelor s Degree

Authorized to work in the United States

No need for visa sponsorship

• Bachelor’s degree in a quantitative or health-related field (e.g., public health, health policy, health economics, statistics, economics, epidemiology, data science, public policy).
• Excellent quantitative skills and a data mindset: comfort working with large datasets, validating results, and explaining assumptions and limitations. Proficient-to-advanced Excel skills (e.g., pivot tables, lookups, structured formulas, slicers; VBA optional).
• Hands-on experience with at least one programming language used for analysis (e.g., SAS, SQL, R, Python) and the ability to quickly learn and work in multiple programming environments.
• Self-starter who can work…