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Job-Zusammenfassung
Ein Praktikum bei On bietet dir die Möglichkeit, deine Karriere zu starten.
Aufgaben
Arbeite mit Datenanalysten an automatisierten Reporting-Lösungen.
Entwickle und pflege Datenpipelines für die Datenintegration.
Verbessere kontinuierlich die Prozesse im Data Engineering.
Fähigkeiten
Interesse an relevanten Bereichen und Leidenschaft für On.
Kenntnisse in Datenanalyse und Reporting-Tools.
Fähigkeiten in der Datenvisualisierung und Datenqualität.
Ist das hilfreich?
In short
Whether you’re looking to jump start your career or gain first hands-on experience in a new field, an internship at On offers you a unique growth experience, the chance to make an impact from day 1 and contribute to On’s growth journey. We are looking for fresh ideas, curious minds and passionate individuals ready to make a difference. Our internships generally last 6 months and you will be fully embedded in a team.
Start date: September 1st 2025
Duration: 6 months
Prerequisite: Interest in area relevant to the internship, passion for On, right to work in Switzerland
Note: This is a paid internship
If you don't meet the criteria above, unfortunately, we cannot move forward with your application. Please be truthful in your answers, the recruiter reviewing your application will appreciate your honesty.
Curious about life as an intern at On? Join our livestream on May 27th (https://www.careerfairy.io/portal/livestream/AhQMEvXtlEgE8YmZXICc?utm_source=client&utm_campaign=events&utm_content=on_ag-ch) to hear former interns share their internship experience, get an insider’s look at different departments and pick up some tips and tricks from our recruiters to help you ace the application process!
Your Mission
Work with data analysts to build automated reporting solutions in Looker, ensuring data is easily accessible and accurate for decision-making.
Design, develop, and maintain data pipelines for data ingestion, transformation, and integration into Looker for data visualisation and for feeding business reports (commercial, supply chain, sales, R&D, finance) using tools like dbt and BigQuery.
Contribute to the continuous improvement of Data Engineering processes and tools.
Collaborate with business teams to understand data needs and provide data-driven insights and solutions.
