Support the analysis of product usage data to identify trends and areas for improvement
Contribute to defining and tracking key product metrics (e.g. activation, engagement, retention)
Assist in building and maintaining dashboards and reports to monitor product performance
Support the analysis of experiments (e.g. A/B tests) to evaluate product changes
Collaborate with Product Managers on tracking concepts and event definitions
Help translate data into clear, actionable insights for the product team
Work closely with engineering and data teams to ensure data reliability and quality

You are currently enrolled in a Master’s program in Data Science, Statistics, Computer Science, or a related field
Consistent availability of ~20 hours per week during the semester
You have a good working knowledge of SQL and are comfortable writing and adapting queries
You have basic experience with Python for data analysis (e.g. pandas, notebooks)
You think analytically and enjoy working with data to uncover insights
Ideally, you have first exposure to BI tools (e.g. Looker, Tableau) or product analytics tools (e.g. PostHog, Amplitude)
You are curious, self-driven, and comfortable working in a cross-functional team
Fluency in English, German is a plus

Hybrid-work policy: Our hybrid-work policy allows you to work from anywhere within Germany.
Paid vacation days: You proportionally have just as many paid vacation days as our full time employees, being 27 at full employment plus all official holidays.
Responsibility from day one: You take ownership for your own tasks and projects from the start
and that is reflected in a fair and competitive salary.
Team events: Enjoy unforgettable company parties and team events that give you enough time to connect with your colleagues at a personal level.

Working Student – Product Analyst

Key skills