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2026 Business Insights & Analytics Intern - Undergrad

Min Experience

0 years

Location

Indianapolis, IN

JobType

internship

About the job

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About the role

Business Insights & Analytics Overview: You will be responsible for conducting analyses and communicating results in support of Brands/Functions supported by the Business Insights and Analytics team within Lilly USA. As an intern, you will develop understanding of various US Affiliate data sources, build an understanding of marketing tactics and strategies, and use/build processes to analyze data and communicate key outputs to decision makers. As part of BI&A, you will contribute to a growing and dynamic team of professionals whose main goal is to help our marketing, finance, and business leadership partners achieve improve patient lives. Responsibilities: Develop understanding of Brand/Business Unit strategies, market dynamics, and data sources Implement analytic solutions that provide data driven insights, help answer critical questions and meet business partner decision needs (project specifications will be provided by your Lilly Intern supervisor and will be aligned to intern's interests and background) Ensure analytics recommendations and key workstreams align to the broader organizational strategy Proactively partner across BI&A for shared learning and to continue to elevate our analytics practice Ensure compliance with all privacy and contractual obligations related to the use of data

About the company

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.

Skills

data analysis
analytics
statistics
coding
python
r
sas
tableau
power bi
excel
sql