Data Analyst Internship, Vehicle Operations – EMEA Business Analytics

What to Expect Start date: January 2027

Location: Amsterdam

Duration: 6 months

Time type: Full-time

Please note that you have to be enrolled in education throughout the whole internship period to be considered.

Tesla is looking for a Data Analyst Intern to join our EMEA Business Analytics team in Amsterdam, supporting Vehicle Operations. During this internship you'll learn how we measure and improve the journey of every vehicle from factory to customer, working on reports and tools for Tesla's Delivery, Logistics and Vehicle Supply teams. You will be tasked with working with real operational data, developing analysis that supports business decisions, and building the next generation of data apps, AI agents and AI tools that put answers directly in the hands of our operations teams.

What You'll Do* Support the team in building and maintaining reports and dashboards that track key delivery and logistics KPIs

• Help clean, explore and interpret operational datasets to answer business questions and help build and improve data apps, AI agents and AI-powered tools
• Test and refine AI agents against real business questions, checking their answers for accuracy and helping write the prompts, definitions and guides behind them
• Learn to use Tableau, SQL and Tesla in-house tools to automate manual reporting and make information easier to find
• Contribute to clear, simple visualizations that communicate key insights
• Join conversations with delivery and logistics managers to understand their needs and practise presenting your findings
• Help build and check SQL data sources for EMEA vehicle operations reporting, learning best practices for data accuracy under team guidance

What You'll Bring* Currently enrolled in a Bachelor's or Master's degree in a quantitative field (e.g. Data Science, Business Analytics, Economics, Engineering, Mathematics, Supply Chain)

• Basic familiarity with SQL and Excel; exposure to Tableau (or Power BI) or Python through coursework or projects is a plus
• Strong interest in AI and how it changes the way people work; hands-on experience with LLMs, prompt engineering, AI coding assistants or building simple web apps (e.g. Streamlit) is a big plus
• Strong quantitative skills and curiosity about how data can improve operations, logistics or supply chain
• Eagerness to learn quickly, ask questions and take ownership of tasks in a fast-paced team
• Level C1 in English (written and spoken) with a willingness to present findings

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.