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

BerlinCompetitiveOnsite0 applicants

About this role

MissionSupport the Data & Analytics team in its day-to-day work, from pipelines to Data Apps and Reports to answering business questions.

Role OverviewAs 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 r

Responsibilities

  • 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

  • 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 r

EU Requirements

Job Details

Posted3 September 2026
Closes3 October 2026
Work ModeOnsite

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