Why join the talent pool

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

• 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