Data Analyst – Consultant/Senior Consultant
Eli Lilly and CompanyMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 pharma brand, popular data role, mid-level experience, and Bangalore location increase competition.
Requires specialized MMIT and U.S. payer knowledge, so skills are not easily transferable across industries.
Explicit 4+ years, required pharma payer/MMIT experience and mandatory SQL/dataviz skills create strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Own extraction, analysis, and validation of formulary and access data from MMIT to monitor payer and formulary dynamics across US commercial, Medicare, and Medicaid channels.
Leverage AI and data visualization tools to develop KPIs, present analytical findings, and support data-driven decision-making with stakeholders in market access, brand, and pricing/contracting.
Collaborate with cross-functional teams to drive access strategy initiatives and improve data quality and governance.
Minimum Requirements
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Life Sciences, or related discipline.
Minimum 4 years of experience in pharma market access, payer analytics, or formulary/access data analysis role.
Hands-on experience with MMIT datasets/platforms and solid understanding of US payer landscape including Commercial, Medicare Part D, Medicaid, PBMs, and formulary mechanics.
Proficiency in SQL for data extraction; experience with data visualization tools (Tableau, Power BI, or Qlik Sense).
Ideal Candidate Profile
Experienced in translating complex US payer and formulary data into actionable insights for commercial and Medicare/Medicaid segments.
Operationally skilled in leveraging AI and data visualization to automate reporting and enhance decision support.
Comfortable working in fast-paced, cross-functional environments engaging with stakeholders across market access, brand, and pricing teams.