Consider before submitting an application:

This position is expected to start around August or September 2025 and continue through the Fall term (ending approximately December 2025) or continuing into Winter/Spring 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.

Multiple Locations Possible: Fremont, CA; Lathrop, CA; Palo Alto, CA; Austin, TX

About the team

The mission of the Supply Chain Optimization team is to manage strategic projects and continuous improvement efforts to transform Tesla’s Supply Chain organization to be data and systems-driven, robust, and efficient as it scales to support our global programs and our growing worldwide presence.

You will be part of the Supply Chain Data Analytics sub-team which is the key point of contact for reporting, analytics, and insight generation across Supply Chain. You should have strong technical skills, a collaborative style of working, and a proactive and critical mindset. Excellent interpersonal and communication skills are crucial, as is the ability to synthesize complex issues and drive desired outcomes. Tesla is a fast-moving, dynamic environment where flexibility and adaptability are key attributes. The successful candidate is a self-starter with a passion for data analytics and data engineering and continuously demonstrates an ability to tackle complex problems and implement solutions.

As a member of the Supply Chain Data Analytics team, you will be required to translate business questions into insightful and action-biased analytics. You will also help with our database management and ETL development work. Your work will have a direct impact on Tesla’s Supply Chain.