Junior Data Scientist (m/f/d) - Remote at Xentral
Home Office, Nordrhein-Westfalen, Germany -
Full Time


Start Date

Immediate

Expiry Date

17 Sep, 25

Salary

0.0

Posted On

17 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Finish, It

Industry

Information Technology/IT

Description

READY TO TURN DATA INTO IMPACT?

We’re on the hunt for a Junior Data Analyst/Scientist to join our Data Team and help shape the future of Business Intelligence at Xentral.

ABOUT US

We are an established tech startup with major tech investors Sequoia Capital and Visionaries Club on our side. We are aiming at defining a new SaaS category and empower entrepreneurs and e-commerce vendors to automate their resource planning and focus on the things that matters most to them: their business.
We grow all over Europe, join us fully remote or in one of our hubs in Augsburg, Amsterdam, Berlin, Munich and Lohne (Oldenburg). You decide!

YOUR RECRUITMENT EXPERIENCE @ XENTRAL

We aim for our recruitment experience to be exciting, smooth, and rewarding—for both you and us! That’s why we’ve designed a efficient and enjoyable recruitment process to ensure a great experience from start to finish. Want to know what your journey with us will look like? Check it out here!
Still have questions before taking the next step? No worries—we’re here to help! I’m Annika, your responsible Talent Acquisition Manager, and I’m happy to answer any questions so you can make the best decision for you.
We can’t wait to receive your application and hopefully welcome you to our team soon! \uD83D\uDE8

Responsibilities
  • You collaborate with engineers, product managers, and stakeholders to uncover data needs and opportunities
  • You support business teams with sharp analyses that drive strategic and operational decisions
  • You build and maintain dashboards and reports that bring clarity and insight
  • You empower teams with self-service analytics by defining and structuring key metrics
  • You keep our data pipelines clean and transformations reliable
  • You contribute to documentation and data models that ensure consistency, usability, and trust
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