Data Analyst Internship (m/w/x) - Gigafactory Berlin

Job Description

Duration: 5-6 months

The Internship

Tesla aims to accelerate the world’s transition to a sustainable energy by ensuring we provide a seamless and frictionless experience to our customers. To meet this goal, Tesla is constantly striving to innovate and provide best in class services through introduction of pioneering new products and services. To that end, Tesla is seeking a hardworking and passionate Data Analyst Intern. In this role, you will be part of a startup team that is focused on delivering a highly scalable platform that enables growth of current and future projects, products and services at the European Gigafactory.

This is a once in a lifetime opportunity to join Tesla for an internship alongside the first employees of the European Gigafactory in Berlin and make a lasting impact.

Learning goals and tasks

• Help set up new dashboard needed for the Gigafactory Berlin project
• Measure impact and performance of various initiatives
• Perform deep-dive analysis of and help to develop and maintain a set of KPIs
• Partner with engineering and work cross-functionally to create and communicate key insights, influence key decisions and offer recommendations
• Work with the engineering team to make sure that we are collecting all of the data/logs needed to properly analyze what we set out to measure
• Create ETL flows to help support the growth team make data-informed decisions

Requirements

• Bachelor’s or Master’s degree in Engineering or Analytics or similar subject
• Fluent in English and ideally also in German.
• Previous internship or work experience in data analytics, dashboarding, and insight generation
• Strong analytical and problem-solving skills
• Proven history of finding valuable insights from complex sets of data
• Ability to successfully work with a broad range of teams including engineering and operations
• Good understanding in technology development best practices (such as, Agile, etc.)
• Strong SQL, Python, Excel and data-visualization skills
• Excellent written and verbal communications across technical and non-technical stakeholders

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