Job Summary

We are seeking a highly motivated and detail-oriented Data Analyst - Consultant/Senior Consultant (Formulary Payer Access Analytics) to join our team at Eli Lilly Services India Pvt Ltd. In this role, you will play a crucial part in supporting data-driven decision-making around formulary and payer access by leveraging MMIT datasets and other market access data sources. You will work closely with market access, brand, and pricing/contracting stakeholders to translate complex payer landscape data into actionable insights.

Path/Level: P1/P2

Note: Roles are posted at the lowest level of a band, however, employees should search across all levels of the band to identify all opportunities. Employees hired on banded positions (ex: P1-P3, R-path, B1-B3, etc.) transfer at their current level, despite the level indicated on the job posting. For example, if a P2 candidate is selected for a P1-P3 banded position, the candidate will remain a P2 in the new role.

Job Responsibilities

- Extract, analyse, and validate formulary and access data from MMIT to track coverage, tier placement, and utilization management restrictions (PA, ST) across commercial, Medicare, and Medicaid channels.
- Perform in-depth analysis of payer/PBM formulary decisions, competitive access positioning, and formulary shifts impacting brand performance.
- Build and leverage AI to present key performance indicators (KPIs) and analytical findings to stakeholders.
- Collaborate with business users to understand their requirements and translate them into technical specifications for data analysis products or projects.
- Identify opportunities for data quality improvement and implement best practices for data governance while creating data products.
- Prepare clear and concise summaries, presentations, and recommendations based on formulary and access analytical findings.




- Participate in cross-functional teams to contribute to data-driven access strategy initiatives.
- Continuously learn, leverage AI, and apply recent data analysis techniques, tools, and technologies to formulary/access reporting.

Job Qualifications

- Bachelors degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Life Sciences, or a related discipline.
- 4+ years of experience in pharma market access, payer analytics, formulary/access data analysis, or a similar role.
- Hands-on working experience with MMIT datasets/platforms.
- Solid understanding of the U.S. payer landscape - Commercial, Medicare Part D, Medicaid, PBMs, and Formulary mechanics.
- Proficiency in SQL for data extraction and manipulation; experience with Databricks is preferable.
- Strong experience with data visualization tools (such as Tableau, Power BI, or Qlik Sense).
- Leverage AI in day-to-day work - including documenting processes, developing and training AI agents, automating repetitive tasks, and effective presentation of insights - to drive efficiency and productivity.
- Excellent analytical and problem-solving skills with a keen eye for detail.
- Ability to communicate complex formulary/access insights effectively to both technical and non-technical audiences.
- Proficiency in Microsoft Excel (pivot tables, VLOOKUP, advanced formulas).
- Experience with a programming language for data analysis (e.g., Python, R) is a plus.
- Ability to work independently and as part of a team in a fast-paced environment.
- Strong organizational skills and ability to manage multiple priorities.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Analyst - Consultant/Senior Consultant (Bengaluru)
🏢 Eli Lilly
📍 Bengaluru