Lilly is a global pharmaceutical leader with a strong focus on innovative medicines, vaccines, and consumer health products. With a presence in more than 120 countries, the company invests heavily in research and development, aiming to improve health outcomes worldwide. In India, Lilly operates cutting‑edge R&D centers, manufacturing units, and commercial offices, offering a vibrant ecosystem for young talent to learn, experiment, and contribute to real‑world health solutions. The Bengaluru campus, known for its collaborative culture, brings together scientists, data professionals, and business strategists to drive data‑backed decisions that shape product pipelines and market strategies. The Intern – CI&A Data Analyst role sits within the Commercial Insights & Analytics (CI&A) team, which partners with business units to translate raw data into actionable insights. As an intern, you will be exposed to end‑to‑end analytics workflows, from data extraction and cleaning to visualization and storytelling. This opportunity is ideal for students who enjoy quantitative problem‑solving, have a knack for spotting patterns, and are eager to see how data influences strategic decisions in a fast‑moving pharma environment. Key Responsibilities: 1. Collect, clean, and preprocess large datasets from internal and external sources. 2. Perform exploratory data analysis to uncover trends, outliers, and correlations. 3. Build and maintain dashboards and visual reports using Excel and BI tools. 4. Assist senior analysts in developing predictive models and statistical tests. 5. Document data pipelines, assumptions, and methodology for reproducibility. 6. Collaborate with cross‑functional teams (marketing, sales, R&D) to understand business requirements. 7. Prepare concise presentations that communicate findings to non‑technical stakeholders. 8. Ensure data quality and integrity throughout the analysis lifecycle. 9. Support ad‑hoc analytical requests and contribute to continuous improvement initiatives. 10. Stay updated on emerging analytics tools and best practices relevant to the pharma sector. Tech Stack: Microsoft Excel, SQL, basic Python/R for statistical analysis, data visualization tools (Power BI/Tableau), and version‑control basics (Git). While the internship may not require deep programming expertise, familiarity with these tools will accelerate learning. Growth Path: Successful interns often receive full‑time offers as Business Analysts or Data Scientists within Lilly’s analytics ecosystem. The role provides a solid foundation for a career in data‑driven decision making, with clear pathways to senior analyst, analytics manager, or specialized roles in clinical data science. Why Join Lilly: Apart from the prestige of working with a world‑renowned pharma company, interns gain exposure to real business problems that impact millions of lives. The collaborative culture encourages mentorship, continuous learning, and the chance to work alongside industry experts. Moreover, Lilly’s commitment to employee well‑being, diversity, and innovation makes it an attractive launchpad for a data analytics career.