Eli Lilly and Company is inviting applications for the Intern – CI&A Data Analyst position at its Bengaluru location. The role is part of the Customer Insights & Analytics (CI&A) team, which supports commercial teams through data analytics, business intelligence, market insights, and actionable recommendations.
Candidates with a degree in a quantitative discipline, such as Statistics, Mathematics, Finance, Engineering, or Computer Science, from a Tier-I institute are eligible to apply. The role involves working with SQL, Python, Databricks, Power BI, and Generative AI tools to support commercial analytics and reporting.
The application deadline is October 30, 2026.
Eli Lilly Intern – CI&A Data Analyst Job Details
| Particulars | Details |
|---|---|
| Company | Eli Lilly and Company |
| Job Title | Intern – CI&A Data Analyst |
| Job Requisition ID | R-113282 |
| Department | Customer Insights & Analytics |
| Location | Bengaluru, India |
| Job Type | Full-time |
| Qualification | Degree in a quantitative discipline from a Tier-I institute |
| Application Mode | Online |
| Last Date to Apply | October 30, 2026 |
Position Available
Intern – CI&A Data Analyst
The selected candidate will support commercial analytics by developing governed datasets, analysing business metrics, maintaining dashboards, and translating analytical findings into insights for brand and commercial teams.
Job Responsibilities
Key responsibilities for the Eli Lilly CI&A Data Analyst internship include:
- Working with commercial data sources and developing governed datasets using Databricks Unity Catalog and Gold Layer or semantic layer assets.
- Analysing patient journeys, segmentation, targeting, channel spend, and persistency to generate actionable business insights.
- Building and maintaining Power BI dashboards and reports for brand performance, market monitoring, launch tracking, and KAM/Institutional analytics.
- Querying Gold Layer metric views using SQL and Python in Databricks notebooks.
- Applying Generative AI tools such as Claude and Copilot to accelerate analysis, summarise insights, and automate routine reporting.
- Participating in stakeholder meetings and presenting analytical findings and recommendations.
- Supporting commercial teams in making informed business decisions through data-driven insights.
Eligibility Criteria and Educational Qualifications
Candidates must have a degree in a quantitative discipline from a Tier-I institute.
Eligible disciplines listed in the job description include:
- Statistics
- Mathematics
- Finance
- Engineering
- Computer Science
Required Skills
Technical Skills
- Strong problem-solving skills.
- Advanced Microsoft Excel and PowerPoint skills.
- SQL experience is preferred.
- Familiarity with data visualisation tools such as Power BI is preferred.
- Knowledge of AWS services on Databricks is preferred.
- Familiarity with Python, Databricks, and Generative AI tools is relevant to the role’s responsibilities.
Soft Skills
- Strategic thinking in ambiguous analytical environments.
- Strong work ethic and personal motivation.
- Good presentation and communication skills.
- Ability to collaborate across time zones.
- Strong stakeholder management skills.
- Ability to work effectively in an international matrix environment.
- A dynamic, result-oriented, and collaborative approach.
How to Apply
