Tesla

Makes electric cars, robotaxis and grid batteries

HR Data Analytics & AI Intern

Business IntelligenceConfirmed live in the last 24 hours

Internship · Winter 2026Grünheide (Mark), GermanyNo salary listedIn-person

About the Job

Requirements

A degree or current enrollment in a bachelor's or master's program in a quantitative field, such as Engineering, Computer Science, or Business Analytics, or a related field; candidates preferably are in their final semesters.
Proficiency in querying large datasets using SQL.
Familiarity with artificial intelligence concepts and a strong willingness to experiment with and adopt artificial-intelligence-powered tools.
Experience with data visualizations and business intelligence tools such as Tableau and Power BI.
Ability to manage multiple tasks in a fast-paced environment.
Strong problem-solving skills to refine problem statements and determine how to solve them using available data.
Solid logical reasoning and proactiveness in stakeholder management.
Excellent written and verbal communication skills in English.
Availability for a minimum internship duration of six months and willingness to commit for an extended period or as a full-time employee.

Responsibilities

Build and maintain reports and dashboards that give management visibility into key human-resources metrics, such as attrition, attendance trends, and training effectiveness.
Query, clean, and analyze large datasets with SQL to find trends and actionable insights.
Ship features end-to-end in internal web applications, including application programming interfaces, user interfaces, and databases, using TypeScript, React, tRPC, Prisma, and PostgreSQL.
Support the development and monitoring of data pipelines and data-quality checks.
Help develop internal tools and automations that improve productivity.
Use artificial-intelligence tools and applied large language model solutions to speed up development, documentation, and analysis.
Work with human-resources business partners and manufacturing stakeholders to understand their needs and present findings clearly.
Uphold and actively promote sustainability principles in daily work, operating in line with Tesla Global Environmental, Health, Safety & Security Policy and EMAS requirements, and foster a culture of continuous environmental improvement.

Desired Qualifications

Working knowledge of Docker, Kubernetes, and PostgreSQL.
Foundational understanding of web-development technologies, including TypeScript, React, or comparable frameworks.
Previous involvement in software development within a professional environment.
Practical exposure to large language models and their applications.

Category	People
Location	Grünheide (Mark), Brandenburg
Requisition ID	287285
Type	Intern/Apprentice

Job Description

Tesla was founded in 2003 with the goal of accelerating the transition to sustainable energy and protecting the planet Earth. Through solar energy, batteries, and electric vehicles, we are building a world of amazing abundance.At Gigafactory Berlin-Brandenburg, we manufacture the Model Y, and starting in 2027, we’ll produce everything from battery cells to electric vehicles. This is unique in Europe. Our international team consists of over 12,000 employees from 130 countries. We hire talent at all skill levels - prior experience in the automotive industry is not required. Would you like to help write the next chapter in Tesla’s success story and work at one of Germany’s most modern workplaces? Then this is the right place for you! Location: Gigafactory Berlin-Brandenburg Time Type: Full Time Duration: 6 Months Start date: November / December 2026 Join our People Analytics team - a dynamic, multicultural team that transforms data insights into actions. As an intern, you will contribute to real projects that support informed decisions by HR and business leadership. You will be supporting our team in the development of dashboards and software applications, as well as communication with stakeholders and day-to-day business tasks. We're looking for a humble and curious problem-solver, who thrives in fast-paced environment, delivering analytics with high impact.

Job Responsibilities

Build and maintain reports and dashboards that give management visibility into key HR metrics, such as attrition, attendance trends and training effectiveness.
Query, clean and analyze large datasets with SQL to find trends and actionable insights.
Ship features end-to-end in our internal web applications (API, UI and database) using TypeScript, React, tRPC, Prisma and PostgreSQL.
Support the development and monitoring of data pipelines and data-quality checks.
Help develop internal tools and automations that improve productivity.
Use AI tools and applied LLM solutions to speed up development, documentation and analysis.
Work with HR business partners and manufacturing stakeholders to understand their needs and present your findings clearly.

Job Requirements

Degree or currently enrolled in BS/MS in quantitative field (e.g., Engineering, Computer Science, Business Analytics) or related field, preferably in final semesters.
Proficient in querying large datasets using SQL
Familiarity with AI concepts and a strong willingness to experiment with and adopt AI-powered tools.
Experience with data visualizations and BI tools like Tableau, Power BI.
Able to work in a fast-paced environment while working on multiple tasks at hand.
Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data.
Solid logical reasoning and proactiveness in stakeholder management.
Excellent written and verbal communication skills in English.
Availability for a minimum internship duration of 6 months, and willingness to commit for extended period or as full time.

Nice to Have

Working knowledge of Docker, Kubernetes, and PostgreSQL would be advantageous
A foundational understanding of web development technologies, including TypeScript, React, or comparable frameworks, is desirable
Previous involvement in software development within a professional environment would be beneficial
Practical exposure to Large Language Models (LLMs) and their applications is considered an asset

Not only do we offer you an attractive compensation package, but also access to a wide range of perks and benefits. For example:
Our own medical center, a gym and an in-house barbershop
E-bike charging stations in front of the factory, more than 500 free charging stations for electric cars, a bike leasing program, free use of the nextbike bike-sharing fleet, as well as numerous free shuttle bus routes to Grünheide and the surrounding areas
You’ll receive subsidized canteen meals, a free S-membership at the Urban Sports Club (discount from M+) and you can sign up for many language courses
We also offer all employees a wide range of insurance options, such as a company pension plan, as well as discounts on private insurance and legal protection insurance

These and many other benefits await you. Join Tesla and help us build a world of amazing abundance.

Candidates are expected to uphold and actively promote sustainability principles in their daily work, operating in line with Tesla Global Environmental, Health, Safety & Security (EHS&S) Policy and EMAS requirements, fostering a culture of continuous environmental improvement.

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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