KNIME AG - Berlin - Global - IT & Technology
Support the Data & Analytics team in its day-to-day work, from pipelines to Data Apps and Reports to answering business questions.
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
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
A Knime L3 certification
Experience with schedules, spaces, and deployments in Knime
Python or JavaScript for small snippets and custom visualizations
German alongside English
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.
The team hands you a request and stops worrying about it
Wo
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