Senior Associate, Insights & Analytics (Payer Analytics)

Key Responsibilities Market & Payer Landscape Analysis Conduct payer and provider interviews, formulary reviews, and claims data analysis to map coverage, prior authorization, and step therapy requirements. Build access landscape reports identifying barriers, risks, and opportunities across commercial, Medicare, Medicaid, and government channels. Pricing & Reimbursement Analytics Analyze pricing benchmarks, rebate structures, and gross-to-net (GTN) implications for different access scenarios. Support development of pricing and reimbursement proposals, including health economic and outcomes research (HEOR) inputs where relevant. Strategic Insights & Recommendations Translate complex reimbursement and policy data into executive-ready insights for brand, market access, and commercial teams Develop access strategies at launch and for in-line products, including patient support, co-pay, and hub program considerations. Analytics & Modelling Design and execute quantitative analyses using claims databases, formulary trackers, and pricing tools Build models and dashboards (Excel, SQL, R/Python, Tableau/Power BI) to quantify access impact, patient flow, and budget scenarios. Project & Client Management Manage workstreams end-to-end: scoping, analysis, storytelling, and client presentations.mtechaccess+1 Mentor junior analysts/associates and contribute to proposals, pitches, and thought leadership.mtechaccess+1 Typical Skills & Qualifications Education Bachelor’s or Master’s degree in life sciences, pharmacy, economics, public health, data science, or related fields. Advanced degree preferred for senior roles (e.g., MPH, MSc Health Economics, MBA with healthcare focus). Experience: 3–6 years in pharma/biotech market access, HEOR, pricing analytics, or healthcare consulting. Prior exposure to US/EU/India market access systems and payer research is highly valued. Technical Skills Strong proficiency in Excel, PowerPoint; hands-on with SQL and at least one analytics tool (R, Python, SAS, Tableau, Power BI). Familiarity with claims data, formulary databases, and pricing/analytics platforms (e.g., IQVIA, Komodo, ANAPLAN, Veradigm) is a plus. Core Competencies Structured problem-solving, hypothesis-driven thinking, and comfort with ambiguity. Excellent written and verbal communication; ability to craft clear, executive-level narratives. Stakeholder management across commercial, medical, market access, and finance functions.