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. 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
What we offer
- Meaningful, hands-on experience working on Data Apps, Reports, and workflows that support real business decisions
- Daily experience with KNIME and the opportunity to deepen your practical data and analytics skills
- Flexible working hours that can be coordinated with your university schedule
- A collaborative, international working environment where your ideas and contributions are valued
- A modern office in Berlin-Kreuzberg and close collaboration with the team on site
- The opportunity to take ownership of your work from day one and develop your skills through real responsibility
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