Data Analyst Intern

Enterprise • St. Louis, MO

12h • $20 • Onsite

About The Position

Our Data Analyst Intern role is a hands-on, engaging program where you’ll gain real-world experience, learn new skills, and have fun while contributing to meaningful projects. You’ll receive coaching , mentorship, and plenty of opportunities to network and grow. As part of the Data & Analytics team, you’ll help with projects and special initiatives that contribute to providing strategic insights and recommendations. Enterprise Mobility is a global leader that values collaboration, career growth, and promoting from within. This internship gives you the chance to build professional relationships, work with a high-performing team, and develop skills that will set you apart in your future career. Schedule: This 12-week internship will begin on May 18, 2026 and will conclude on August 7, 2026. The internship program is located on-site at our Global Headquarters at 500 Corporate Park Drive, Clayton, MO. You must be available to work a 40-hour work week for the entire 12 weeks, working Monday through Friday.

Requirements

• Must be a rising college senior enrolled full time for the upcoming semester in an applicable Bachelor’s degree program set to graduate between December 2026 – June 2027
• Must be pursuing a Bachelor’s degree in Statistics, Economics, Data Analytics or related field
• Must have familiarity with R, Python, SAS or SQL
• Must be a resident of greater St. Louis, Missouri for summer 2026 or be attending a St. Louis based university
• Must be able to work Monday - Friday, 40 hours per week from May 18 th - August 7 th 2026
• Must be 18 years of age or older
• Must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future

Responsibilities

• Research and Exploration – Learn how to conduct exploratory research to expand understanding of business units and their interrelationships.
• Participate in end-to-end analysis – Learn how we use data mining and manipulation tools (SQL, R, Python, SAS, etc.) to extract intelligence while working with a lead or senior analyst
• Apply analytical skills – See how we analyze customer experience using quantitative and qualitative methods
• Present findings – Take ownership of assigned project and share findings with team

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees