Working Student (m/w/d) Data Analysis @ Sparrow Networks, GmbH

About Sparrow

Manufacturing and production companies stock spare parts worth $1,000,000,000,000 (yes, $1trn) - 75% of which are rarely or never used. Sparrow changes that - we reduce our customers’ overstock and waste (making them more sustainable).

Sparrow offers a SaaS platform that ensures maintenance teams have the right spare parts when and where they need them, at the lowest possible cost. To do that, we leverage big data, AI algorithms and a network approach.

Our products are used by some of the world’s leading companies.

We’re based in Berlin, serving customers across Europe and growing fast.

About the role

You will be part of the data operations team. The team collects, enriches and classifies data later used by our customers. We use a variety of self-developed and third-party data analysis and processing tools.

As a working student, you will conduct bulk analysis on existing data sets, process new data sets and perform online research.

Your responsibilities will include

  • Working closely with Data Engineering to improve models

  • Improve our internal classification system

  • Analyse customer and supplier data to create and present meaningful insights

  • Onboard customers to our SaaS product and respond to customer requests


  • You are studying mechanical engineering, information technologies, data science or related subjects

  • You are proficient in Microsoft Excel, SQL proficiency is a plus (scripting is a double plus)

  • You are comfortable working with large data sets

  • You work independently

  • You like challenges, are ambitious to solve problems and can adapt quickly to new situations

  • You have good communication skills in English, German knowledge is a plus

What’s in it for you?

  • Professional development through coaching and mentoring

  • Diverse tasks with steep learning curves: from scripting through Excel wizardry and up to Machine Learning with new challenges around every corner

  • Opportunity to define your own field of work and contribute with your ideas

  • Working with a small and strong team where every voice counts

  • Your work directly impacts the company’s success

  • Remote work: we are extremely flexible and open to any working pattern that can adjust to Berlin timezone -/+ 2hrs

How to apply

  • Send your CV or LinkedIn profile

  • Respond to the questions in the next step

Weekly working hours: 20 during the semester, 40 during winter and summer holidays

Apply Here