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Working Student – Business Planning & Data Science (m/f/d) – Berlin

Berlin
Job ID: 667083

/ Stundenlohn
17,00 €
Wochenstunden
20
Sprachkenntnisse

Du beherrschst die folgende Sprache:

Englisch (Fließend)
Tags

Das beinhaltet dieser Job

Büro

€17.00 per hour · Part-time (up to 20 hours/week)

Are you studying Supply Chain Management, Mathematics, or Computer Science and looking to gain hands-on experience in a fast-paced, international company? Then this is your chance to join the Business Planning team of one of the leading online food delivery platforms!

In collaboration with our partner company, we are looking for highly motivated working students to support both business planning and data science tasks.

Your role – 50% Business Planning / 50% Data Science:

Business Planning

  • Support with operational and strategic planning processes
  • Analyze and prepare planning-related data
  • Contribute to reporting and forecasting activities

Data Science & Analytics

  • Assist in processing and analyzing large data sets
  • Help build data-driven insights for decision-making
  • Use tools like PythonSQL, and GitHub to support automation and data structuring

Your profile:

  • You are enrolled at a university, ideally studying Supply Chain ManagementMathematicsComputer Science, or a related field
  • Initial experience or interest in planninganalytics, or data science
  • Basic knowledge of PythonSQL, and GitHub is a plus
  • Strong interest in working with data and solving problems
  • Excellent English skills (German is not required)
  • You have your own device with at least 32 GB RAM

What we offer:

  • Attractive hourly wage: €17.00
  • Flexible working hours – easily combinable with your studies
  • Work in a dynamic, international environment
  • Initial 3-month contract, with the option to extend up to 6 months based on performance
  • Independent, meaningful tasks with a steep learning curve

Location:

Berlin – on-site availability required

What happens next:

We handle the pre-selection process. After your application, we’ll conduct a short phone interview, followed by a video call. If you're a good fit, we'll share your CV with the hiring team for final review.

Ready to dive into data and planning? Apply now and join an exciting project!

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