Eli Lilly Services India Pvt Ltd is hiring for the position of Data Analyst – Consultant/Senior Consultant (Formulary & Payer Access Analytics) in Bengaluru. This opportunity is particularly relevant for experienced professionals looking to build a career in pharma market access, payer analytics, formulary analytics, healthcare data analytics, and commercial analytics.

The Data Analyst will work with MMIT and other market access datasets to analyze formulary coverage, payer access, tier placement, utilization management restrictions, and competitive access positioning. The role combines pharmaceutical market access expertise with technical skills such as SQL, data visualization, Excel, AI, and potentially Python or R.

Candidates should note that this is not a fresher position. Lilly specifically requires 4+ years of relevant experience, along with hands-on MMIT experience and knowledge of the U.S. payer landscape.

About Eli Lilly

Lilly is a global pharmaceutical company focused on discovering and delivering medicines that improve patient outcomes. Through its global workforce, the company works across pharmaceutical research, development, manufacturing, commercial operations, analytics, and healthcare solutions.

For this Bengaluru opportunity, Lilly is seeking professionals capable of translating complex payer and formulary data into actionable business insights that can support market access, brand, pricing, and contracting decisions.

Key Responsibilities

As a Data Analyst – Consultant/Senior Consultant at Lilly, the selected candidate will:

• Extract, analyze, and validate formulary and market access data using MMIT datasets.
• Track drug coverage, tier placement, and utilization management restrictions, including Prior Authorization (PA) and Step Therapy (ST).
• Analyze access across Commercial, Medicare, and Medicaid channels.
• Conduct detailed analysis of payer and Pharmacy Benefit Manager (PBM) formulary decisions.
• Evaluate competitive access positioning and formulary changes that could affect brand performance.
• Develop and leverage AI solutions to communicate KPIs and analytical findings.
• Work with business stakeholders to understand requirements and convert them into technical specifications for analytical products and projects.
• Identify opportunities to improve data quality and implement data governance best practices.
• Develop data products supporting formulary and payer access analytics.
• Prepare presentations, analytical summaries, and actionable recommendations for stakeholders.
• Collaborate with cross-functional teams on data-driven market access strategy initiatives.
• Apply emerging data analysis techniques, AI tools, and technologies to improve formulary and access reporting.
• Use AI for process documentation, AI-agent development, automation of repetitive activities, and presentation of analytical insights.

Eligibility & Qualification

Lilly specifies a Bachelor’s degree in a quantitative or related discipline.

Relevant qualifications may include:

• Bachelor’s Degree in Statistics
• Bachelor’s Degree in Mathematics
• Bachelor’s Degree in Computer Science
• Bachelor’s Degree in Economics
• Bachelor’s Degree in Life Sciences
• Other closely related quantitative disciplines

Because the job description specifically includes Life Sciences, candidates from relevant pharmaceutical or healthcare educational backgrounds may potentially fit the academic requirement. However, qualification alone is not sufficient—the role requires substantial relevant professional experience.

Experience Required

Candidates should have:

4+ years of experience in one or more of the following areas:

• Pharma Market Access
• Payer Analytics
• Formulary Analytics
• Formulary/Access Data Analysis
• Healthcare Market Access Analytics
• Similar payer/access analytics roles

This means freshers and candidates without relevant market access/payer analytics experience are not the target profile for this vacancy.

Essential Skills

The strongest candidates should have:

MMIT: Hands-on working experience with MMIT datasets or platforms is specifically required.

U.S. Payer Landscape: Candidates should understand Commercial insurance, Medicare Part D, Medicaid, PBMs, and formulary mechanics.

SQL: Strong SQL skills for data extraction, manipulation, and analytical workflows are required.

Data Visualization: Experience with platforms such as Tableau, Power BI, or Qlik Sense.

Microsoft Excel: Candidates should be comfortable with pivot tables, VLOOKUP, advanced formulas, and analytical Excel workflows.

Artificial Intelligence: Lilly expects candidates to incorporate AI into day-to-day work, including automation, documentation, AI agents, and presentation of insights.

Preferred / Additional Skills

The following can strengthen a candidate’s profile:

• Databricks
• Python
• R
• Advanced data analytics
• Data governance
• AI-agent development
• Workflow automation
• Pharmaceutical commercial analytics

Python or R is listed as a plus, whereas SQL is a more central requirement for this position.

Who Is Best Suited for This Role?

This Lilly Data Analyst job is particularly suitable for candidates currently working as:

• Market Access Analyst
• Payer Analytics Analyst
• Formulary Analyst
• Healthcare Data Analyst
• Pharmaceutical Data Analyst
• Commercial Analytics Analyst
• Market Access Consultant
• Payer/Access Data Consultant

Candidates with strong generic data analytics experience but without MMIT or U.S. payer/formulary exposure may face a significant skills gap, because these competencies are explicitly requested in the job description.

Key Pharma Market Access Knowledge

Applicants should understand concepts including:

Formulary: A list of prescription medicines covered by a health plan.

Tier Placement: The formulary tier assigned to a medicine, which can influence patient cost-sharing and access.

PA – Prior Authorization: A utilization management requirement under which approval may be necessary before a medicine is covered.

ST – Step Therapy: A requirement that a patient try specified treatments before gaining coverage for another therapy.

PBM – Pharmacy Benefit Manager: An organization involved in administering prescription drug benefits and negotiating aspects of pharmacy coverage.

Knowledge of these areas is important because the role involves evaluating how payer and formulary decisions influence pharmaceutical brand access and performance.

Why Consider This Opportunity?

The position offers exposure to a specialized intersection of pharmaceutical market access and advanced data analytics. Professionals joining the team may work with:

• U.S. payer and formulary datasets
• MMIT data
• Commercial, Medicare and Medicaid access analytics
• Pharmaceutical brand access strategy
• SQL-based analysis
• Data visualization
• AI-powered analytical workflows
• Cross-functional market access stakeholders

For experienced healthcare analytics professionals, these capabilities can be valuable for building expertise in pharma commercial analytics, payer strategy, market access analytics, and data-driven decision support.

Lilly Data Analyst Job – Quick Overview

How to Apply

Application Link