Data & Analytics Working Student (Part-time)

• 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
• 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
• This position sits in the Data & Analytics team within Operations and reports to Iris Adä, VP Data & Analytics. It is a working student position of at least 16 hours per week alongside your studies, with two days a week in our Kreuzberg office
• What Success Looks Like
• The team hands you a request and stops worrying about it
• Workflows you have touched are faster, cleaner, and documented well enough for the next person
• You arrive with the questions that sharpen a task before you start building
• Ownership from day one: you work on the Data Apps and Reports Knime’s own decisions run on, not a side project parked next to the real work
• Depth in the product itself: daily hands-on work in Knime, which counts for more on a data CV than any certificate
• A team that explains its reasoning: an onboarding buddy, analysts who show you how they got to an answer, and hours that fit your semester

Benefits

• Flexible working hours
• Learning & coaching
• Sport programs
• Language courses
• Referral program
• Stock options plan
• Small stuff support
• Afterwork events
• Snacks
• Health checkups- Working knowledge of Knime and data science fundamentals
• Solid SQL and database basics
• A high degree of independence: you structure your own work and unblock yourself with documentation and research, and you know when to ask
• Available at least 16 hours a week, and on site in our Kreuzberg office two days a week
• Enrolled at a university or Hochschule in Berlin, based in Berlin, with at least 12 months of study remaining
• Fluent in English
• Care and reliability when working on things other people depend on
• You draft Data Apps and Reports with AI support, and can explain the result
• 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
• German alongside English
• Python or JavaScript for small snippets and custom visualizations
• Experience with schedules, spaces, and deployments in Knime
• A Knime L3 certification