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

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

Find more English Speaking Jobs in Germany on Arbeitnow