Working Student, Data & Analytics (m/f/d)

About this role

Mission Support the Data & Analytics team in its day-to-day work, from pipelines to Data Apps and Reports to answering business questions. Role Overview As a Working Student in the Data & Analytics team, you will work alongside our analysts on what the week actually needs: a pipeline that has to keep running, a Data App a team is waiting for, a question someone needs answered. You will work in Knime every day, on things people across the company use.

This is a role with real ownership: you get clearly scoped tasks and regular check-ins, and between them you work independently. Responsibilities Support the team day to day: take on the analysis, Report, or fix the week calls for, and see it through Build and maintain data ingestion workflows, and keep scheduled pipelines running as our data sources change Build Data Apps and Reports that teams across Knime use to answer their own questions Research questions other teams bring us, and come back with an answer they can act on Improve existing workflows, Data Apps, and Reports: performance, cleanup, and documentation Own your tasks end to end: ask the scoping questions up front, execute independently, and hand over results clearly Requirements Enrolled at a university or Hochschule in Berlin, based in Berlin, with at least 12 months of study remaining Available at least 16 hours a week, and on site in our Kreuzberg office two days a week Working knowledge of Knime and data science fundamentals Solid SQL and database basics You research on your own: you find the sources, judge what is relevant, and come back with an answer instead of a list of links You draft Data Apps and Reports with AI support, and can explain the result A high degree of independence: you structure your own work and unblock yourself with documentation and research, and you know when to ask Care and reliability when working on things other people depend on Fluent in English How to Stand out A Knime L3 certification Experience with schedules, spaces, and deployments in Knime Python or JavaScript for small snippets and custom visualizations German alongside English Leveling This position sits in the Data & Analytics team within Operations and reports to Iris Adä, VP Data & Analytics.