Working Student Sales Forecasting Analyst (all genders) at zooplus SE
80331 München, , Germany -
Full Time


Start Date

Immediate

Expiry Date

13 Nov, 25

Salary

0.0

Posted On

13 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

English, Sql, Python, Analytics, Statistics, Economics

Industry

Marketing/Advertising/Sales

Description

Company Description
More than 20 years ago, zooplus was one of the first to bring the pet category into the world of eCommerce. Today, we stand strong as Europe’s leading online pet platform, delivering moments of happiness to more than 9 million pet parents each year.
We’re on a mission to create joy for pets and their parents, driven by our core values of Care, Courage, Openness, and Simplicity. At the heart of everything we do, they inspire us to grow, raise the bar for our customers and fuel a pet-first business.
Job Description
We are looking for a passionate and results orientated Working Student (all genders) to support our Central Sales Operations & Project Management Team as a Sales Forecasting Analyst.
Do you want to gain valuable work experience in our Munich office alongside university? Then apply now!

QUALIFICATIONS

  • Enrolled student with a relevant major, e.g. Business, Economics, Statistics, or Analytics.
  • Available for working 20 hours a week for at least one year
  • Solid knowledge of SQL and Python
  • Understanding of Regression techniques
  • Working language: English
    Additional Information
    With more than 1,000 passionate professionals located across 6 European offices, we believe our success comes from working together and leveraging our international strengths. Expect a hybrid work setup: 60% in-office, 40% remote, collaborating with colleagues across locations.
Responsibilities
  • Drive insights: Use data to understand risks and opportunities
  • Forecasting: Assist in improving accuracy
  • Sales Analytical Support: Collaborate with various departments to contribute to sales growth and operational efficiency
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