Eli Lilly and Company
Data Analyst Intern
- Eligibility
- Not stated
- Batch
- 2025–2027
- Experience
- Not stated
- Stipend
- ₹35,000/month
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About this role
About the role: - Transform raw business data into actionable insights that drive decision-making across departments at a global pharmaceutical organization. - Conduct exploratory analysis on complex datasets to identify patterns, anomalies, and opportunities that inform strategy. - Build dashboards and visual reports using modern analytics tools to communicate findings to both technical and non-technical stakeholders. - Support cross-functional teams by translating their data needs into clear analytical questions and delivering solutions on tight timelines. What you'll work on: - Extracting, cleaning, and querying data using SQL to prepare datasets for analysis. - Designing and developing interactive visualizations in Power BI or similar platforms to track key business metrics. - Creating polished presentations and reports in PowerPoint that tell a story with data and guide action. - Collaborating with colleagues across multiple time zones to understand requirements, validate findings, and refine recommendations. What we're looking for: - Comfort navigating ambiguous situations where the path forward is unclear, staying analytical and methodical as you work. - Demonstrated ability to break down hard problems into manageable steps and solve them logically. - Advanced proficiency in MS Excel, including complex formulas, data modeling, and analysis. - Advanced skill in PowerPoint—you can turn numbers into compelling visual narratives. - Strategic mindset; you think about the bigger picture and how data connects to business outcomes. - Strong communication and presentation abilities; you explain technical concepts clearly to any audience. - Collaborative approach to working with stakeholders; you listen, ask good questions, and build consensus. Good to know: - SQL experience is preferred. - Experience with Power BI or other data visualization tools is preferred. - Familiarity with AWS services on Databricks is preferred.