Data Analytics Internship 2026 | Lilly Hiring BI&A Data Engineer & Data Analyst Interns

Mohit June 10, 2026
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Data Analytics Internship 2026 | Lilly Hiring BI&A Data Engineer & Data Analyst Interns
✔ Verified by Medical Jobs India

Intern – BI&A Data Engineer & BI&A Data Analyst

🏢 Lilly
📍 Bengaluru
📊 Data Analytics & Engineering
🎓 Freshers

Lilly is hiring BI&A Data Engineer Interns and BI&A Data Analyst Interns for its Bengaluru office. These 6-month internship opportunities are ideal for fresh graduates and final-year students interested in Data Engineering, Business Analytics, Artificial Intelligence, SQL, Python, Databricks, and Power BI.

📋 Internship Overview

Particulars Details
Company Lilly
Roles BI&A Data Engineer Intern & BI&A Data Analyst Intern
Location Bengaluru, Karnataka
Duration 6 Months
Experience Freshers Eligible
Employment Type Full-Time Internship
Last Date to Apply 15 June 2026

1️⃣ BI&A Data Engineer Intern

Key Responsibilities

  • Build and maintain data pipelines using Databricks and PySpark.
  • Develop ETL and ELT workflows.
  • Create Star Schema and Snowflake Schema models.
  • Work with Delta Lake and Unity Catalog.
  • Support cloud data platform operations.
  • Participate in code reviews and documentation.

Preferred Skills

  • SQL
  • Python
  • Databricks
  • PySpark
  • Spark SQL
  • Data Modeling
  • Cloud Technologies

2️⃣ BI&A Data Analyst Intern

Key Responsibilities

  • Analyze commercial and business datasets.
  • Create dashboards using Power BI.
  • Generate business insights and reports.
  • Support automated reporting workflows.
  • Work with Generative AI tools.
  • Present findings to business stakeholders.

Preferred Skills

  • SQL
  • Python
  • Power BI
  • Tableau
  • Business Analytics
  • Data Visualization
  • Generative AI Tools

🎓 Eligible Qualifications

  • Statistics
  • Mathematics
  • Finance
  • Engineering
  • Computer Science
  • Information Systems
  • Data Engineering
  • Related Quantitative Disciplines

🌟 Why Join Lilly?

  • Hands-on enterprise analytics experience.
  • Exposure to Databricks, AI, and cloud technologies.
  • Work with global pharmaceutical analytics teams.
  • Mentorship from experienced professionals.
  • Real-world business and healthcare analytics exposure.
  • Strong career foundation in Data Science and Analytics.

📈 Career Path

  • Data Engineer Intern / Data Analyst Intern
  • Junior Data Analyst
  • Business Intelligence Analyst
  • Data Engineer
  • Senior Data Analyst
  • Analytics Consultant
  • Data Science & Analytics Lead

📝 Resume Tips

  • Highlight SQL, Python, Power BI, Tableau, or Databricks projects.
  • Mention internships, academic projects, and hackathons.
  • Include certifications in Data Analytics, Cloud, AI, or Data Engineering.
  • Showcase data visualization and reporting skills.
  • Mention statistics, machine learning, or business analytics coursework.
  • Keep your resume ATS-friendly and achievement-focused.

🎯 Interview Preparation Tips

  • Revise SQL queries and database concepts.
  • Practice Python programming fundamentals.
  • Understand ETL and Data Warehousing concepts.
  • Review Power BI dashboard creation and reporting basics.
  • Learn Databricks, PySpark, and cloud fundamentals.
  • Understand data visualization best practices.
  • Research Lilly and pharmaceutical analytics applications.

❓ Common Interview Questions

  1. What is ETL and ELT?
  2. What is the difference between SQL and NoSQL?
  3. Explain Star Schema and Snowflake Schema.
  4. What is Data Visualization?
  5. How does Power BI work?
  6. What is Databricks?
  7. What is PySpark used for?
  8. How would you clean a large dataset?
  9. Why do you want to join Lilly?
  10. Describe a data project you have worked on.

❓ Frequently Asked Questions (FAQ)

Q1. Are freshers eligible?
Yes, fresh graduates and final-year students can apply.

Q2. What is the internship duration?
The internship duration is 6 months.

Q3. What is the last date to apply?
15 June 2026.

Q4. Which location is hiring?
Bengaluru, Karnataka.

Q5. Which skills are preferred?
SQL, Python, Power BI, Tableau, Databricks, PySpark, Business Analytics, and Data Visualization.

📝 How to Apply

  • Review the role that matches your skills and interests.
  • Update your resume with analytics, programming, and project experience.
  • Highlight SQL, Python, Power BI, Tableau, or Databricks skills.
  • Mention certifications and academic projects.
  • Apply before the deadline.

👉 Step-by-Step Guide: How to Apply for Healthcare & Pharma Jobs

🚀 Apply Now

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