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The Technical Service team is dedicated to maximizing the performance and availability of utilities and infrastructure systems, ensuring uninterrupted operations at Gigafactory Berlin. This dynamic team works tirelessly to maintain, enhance, and restore these systems through a combination of preventative and corrective maintenance strategies.

We are looking for a highly motivated and detail-oriented Data Analyst Intern to join the Maintenance Planning team. This role sits at the intersection of factory operations and data analytics: you will turn maintenance, asset, and operations data into reports, dashboards, and automation that planners, engineers, and leadership use to make decisions.

You will support strategic initiatives by preparing analytical outputs, tracking KPIs, streamlining reporting processes, and building digital tools that reduce manual effort. Working alongside analysts and maintenance professionals, you will translate business needs from Technical Service teams into functional data solutions: combining hands-on factory analytics with Python, SQL, and modern automation workflows.

What You'll Do

Reporting & analytics

Support planning, tracking, and coordination of analytics initiatives across Technical Service and Intralogistics
Prepare dashboards, status reports, presentations, and documentation for stakeholders
Write and maintain SQL queries; perform data analysis and prepare decision-support briefs
Monitor reporting timelines, data quality, and deliverables
Build and refresh Excel exports for spare parts, preventive maintenance (PM) coverage, consumption, forecasts, and assets

Maintenance operations data

Track KPIs for maintenance orders, PM compliance, missed work orders, and spare parts consumption
Support asset analysis, checklist compliance, and inventory planning
Handle ad-hoc data requests from planners and cross-functional partners

Automation & digitalization

Translate business needs into automation solutions and internal analytics tools
Develop Python/SQL workflows, data pipelines, and automated reporting using Git
Support development of AI solutions such as RAG agents, automated workflows, and reusable skills for maintenance teams
Identify automation and AI opportunities; support adoption through documentation and knowledge-sharing

Collaboration & process

Attend meetings, capture action items, and coordinate with internal teams
Improve analytics processes and reporting templates for efficiency and clarity

What You'll Bring

Currently enrolled in a Bachelor's or Master's degree in Data Science, Business Informatics, Industrial Engineering, Technology & Management, Operations, or a related field
Strong experience with SQL for data extraction, joins, aggregations, and reporting
Proficiency in MS Office (especially Excel and PowerPoint) for structured exports, pivot tables, and stakeholder presentations
Strong analytical and problem-solving skills with a business-first mindset
Excellent written and verbal communication in English; German is a plus
Strong organizational skills with exceptional attention to detail
Proactive, reliable, and comfortable managing multiple tasks simultaneously
Self-starter who learns quickly in a fast-paced environment
A team player with a flexible mindset and strong sense of ownership

Preferred

Experience with Python for data analysis, automation, and workflow integration
Familiarity with Git and version control
Understanding of AI/ML concepts, prompt engineering, or workflow design
Familiarity with BI and database tools (e.g., DBeaver, Power BI, or similar)
Demonstrated interest in building digital tools, automations, and data solutions
Familiarity with maintenance, manufacturing, or facilities operations concepts
Hands-on experience with at least one data or automation project used by real users — a portfolio or GitHub repository is highly recommended

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.

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