How do I apply for the Data Analyst job at Eli Lilly and Company?

Use the apply link on this page: you apply directly with Eli Lilly and Company on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Eli Lilly and Company want for this Data Analyst role?

The job description asks for SQL, SAS / R / Python (analytics & modelling), Expertise in AI/ML, Data visualization (Power BI / Tableau), Data modelling, validation, and governance and Clinical data understanding (in pharma context). Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

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Is this Data Analyst job remote or onsite?

This is based in Bengaluru East, Karnataka.

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Data Analyst

Eli Lilly and Company

Bengaluru East, Karnataka, India

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Role Purpose

A Data Analyst/Senior Data Analyst is an individual contributor responsible for:

Driving end-to-end analytics delivery
Translating business / clinical needs into data-driven solutions
Influencing strategic decision-making through insights

This role often combines deep technical expertise + functional leadership + stakeholder influence.

Key Responsibilities

Analytics Delivery & Technical Leadership
Lead design, development, and delivery of analytics solutions / dashboards / reports
Perform advanced data analysis, modelling, and interpretation
Ensure data quality, validation, and compliance standards
Drive set-up, conduct, and closure phases for data delivery in clinical/data programmes
Translate business questions into analytical frameworks and outputs
Business Translation & Stakeholder Engagement
Convert business requirements into technical specifications
Present insights to stakeholders in clear, actionable form
Partner with cross-functional teams to shape strategy and decisions
Provide analytics support for study/program deliverables and regulatory needs
Process, Standards & Governance
Define and enforce data standards, checks, and validation frameworks
Improve efficiency, consistency, and scalability of analytics processes
Ensure compliance with internal SOPs and regulatory expectations
Lead adoption of standardized approaches and tools across teams
Innovation & Continuous Improvement
Drive process improvements and automation
Introduce new analytical methods, tools, and AI/ML approaches
Identify opportunities to:
Reduce rework
Improve turnaround time
Enhance quality and audit-readiness
Stay updated on emerging analytics trends

Key Deliverables

Analytics dashboards / reports for studies or business functions
Standardized data checks and validation frameworks
Business-to-technical requirement documentation
Insights supporting:
Clinical programmes
Operational performance
Strategic decisions

Required Skills

Technical

SQL, SAS / R / Python (analytics & modelling)
Expertise in AI/ML
Data visualization (Power BI / Tableau)
Data modelling, validation, and governance
Clinical data understanding (in pharma context)

Functional

Strong problem-solving and analytical thinking
Ability to translate ambiguous business needs into structured analysis
Understanding of clinical trial lifecycle / data standards

Other

Stakeholder management (cross-functional/global)
Driving standards and influencing decisions

Typical Experience / Qualification

Bachelor’s/Master’s in Statistics, Data Science, Life Sciences, or similar
Significant experience in data analytics / clinical data domains
Proven track record of:
Leading analytics initiatives
Managing complex datasets
Influencing business decisions

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly

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