Intralogistics Engineering Internship (m/w/d) - Gigafactory Berlin-Brandenburg

What To Expect
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

Duration: 6 months

Working hours: Full-time

Start date: October / November 2026

At Tesla GIGA Berlin, our dedicated maintenance team oversees a diverse portfolio of industrial equipments, including industrial trucks, heavy machinery, cranes, lifts, heavy-duty racks, and automated guided vehicles (AGVs). We manage a substantial rental fleet featuring forklifts, tuggers, reach trucks, and pallet trucks, ensuring seamless operations for various shops like intralogistics, powertrain, battery, cell, etc. Our core responsibilities encompass both preventive and reactive maintenance to maximize technical availability, deliver innovative solutions to complex challenges, minimize downtime, and drive cost efficiency. By prioritizing reliability and performance, we support mission-critical operations across operations, fostering a culture of excellence and continuous improvement.

What You'll Do

Analyze operational and logistics data to identify trends, inefficiencies, and optimization opportunities across the intralogistics scope

Design, develop, and implement dashboards and reports using Excel, Power BI, and VBA to visualize key KPIs (e.g., fleet utilization, maintenance costs, downtime, inventory levels)

Write and maintain SQL queries to extract, transform, and validate data from internal Tesla systems

Automate recurring reports and workflows using Excel VBA and Power Query to reduce manual effort and increase efficiency

Perform root cause analysis on operational inefficiencies or data anomalies and recommend actionable improvements

Support process improvement projects by benchmarking performance against targets and applying lean principles

Collaborate with cross-functional teams (Operations, Maintenance, Safety, Procurement, IT) to gather requirements and deliver analytical solutions

Maintain accurate records of logistics activities, fleet data, service records, and compliance documentation in Tesla internal systems (e.g., Flux)

Prepare and present reports, analyses, and recommendations in team meetings, translating complex data into clear insights for stakeholders

Support inventory management and equipment tracking by monitoring usage patterns and proposing data-backed improvements

Contribute to a safe, organized, and compliant working environment

What You'll Bring

Currently enrolled in a Bachelor’s or Master’s program in Mechanical Engineering, Industrial Engineering, Logistics, Computer Science or a related field.

Strong affinity for numbers and a genuine passion for working with data

Advanced proficiency in Microsoft Excel (pivot tables, formulas, data modeling)

Solid knowledge of SQL for data querying and analysis

Experience with Power BI for dashboard creation and data visualization

Knowledge of VBA for automation and macro development

Business Analyst mindset – ability to translate business needs into data-driven solutions

Structured, detail-oriented, and proactive working style

Fluent in English (both written and spoken) for effective communication and documentation.

German language proficiency at B1 level or higher is a plus, especially for international collaboration or documentation.

Interest in manufacturing, intralogistics, or automotive environments is a plus

, Tesla