Mission Support the Data & Analytics team in its day-to-day work, from pipelines to Data Apps and Reports to answering 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… Mission Support the Data & Analytics team in its day-to-day…
work, from pipelines to Data Apps and Reports to answering 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 throughBuild and maintain data ingestion workflows, and keep scheduled pipelines running as our data sources changeBuild Data Apps and Reports that teams across Knime use to answer their own questionsResearch questions other teams bring us, and come back with an answer they can act onImprove existing workflows, Data Apps, and Reports: performance, cleanup, and documentationOwn 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 weekWorking knowledge of Knime and data science fundamentalsSolid SQL and database basicsYou research on your own: you find the sources, judge what is relevant, and come back with an answer instead of a list of linksYou draft Data Apps and Reports with AI support, and can explain the resultA high degree of independence: you structure your own work and unblock yourself with documentation and research, and you know when to askCare and reliability when working on things other people depend onFluent in English How to Stand out• A Knime L3 certification Experience with schedules, spaces, and deployments in KnimePython or JavaScript for small snippets and custom visualizationsGerman 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 itWorkflows you have touched are faster, cleaner, and documented well enough for the next personYou arrive with the questions that sharpen a task before you start buildingOwnership 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 workDepth in the product itself: daily hands-on work in Knime, which counts for more on a data CV than any certificateA 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 decisionsDaily experience with KNIME and the opportunity to deepen your practical data and analytics skillsFlexible working hours that can be coordinated with your universityA collaborative, international working environment where your ideas and contributions are valuedA modern office in Berlin-Kreuzberg and close collaboration with the team on siteThe opportunity to take ownership of your work from day one and develop your skills through real responsibility Skills: Data & Analytics, working student, data science, data, Data Apps
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