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Working Student, Data Analytics

Germany, Berlin · Job Posted February 14, 2026
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Job Description

We are on the lookout for a Working Student, Data Analyst to join the Analytics team in the Local Shops product line, Quick Commerce on our journey to always deliver amazing experiences. As a Working Student in Data Analytics, you won’t just be crunching numbers—you’ll be shaping analytics deliverables together with the team. We are looking for a curious mind to explore our modern analytics stack and transform data into clear, actionable insights. Beyond analyzing data and building dashboards, you will play a key role in improving our analytics workflows by exploring and applying AI and automation tools to make analytics routines and processes smarter and faster. You will also get hands-on experience with the backbone of analytics governance and knowledge management initiatives. If you are eager to bridge the gap between theoretical data knowledge and its real-world analytics applications, this is your opportunity.

Job Responsibility

  • Work under the supervision of our Analytics Technical Lead to drive better decisions via analytics support
  • Help the team and its stakeholders get data-driven answers to their relevant business and product questions
  • Actively utilize the organizational data, analytical tools and processes
  • Explore and analyze various sources of data, both business/product and team-related
  • Develop clear and usable visualizations and interfaces to extract insights from data
  • Look closely on topics related to data quality and knowledge sharing

Requirements

  • Basic knowledge of SQL and visualization skills
  • Confident working with data
  • Curious mind, love learning, enjoy solving problems and building relationships
  • Strive for structure and clarity in everything you deliver
  • Proficient in English, both written and spoken
  • Currently enrolled in a Bachelor or Master's program

Nice to have

  • Experience in Business Intelligence tools (e.g. Tableau, Looker/Looker Studio)
  • Experience in coding (e.g. Python)
  • Experience in e-commerce/quick commerce

What we offer

  • Hybrid working model (2 days a week on campus)
  • 27 days holiday with an extra day on 2nd and 3rd year of service
  • 1.000 € Educational Budget
  • Language Courses
  • Parental Support
  • Access to Udemy Business platform
  • Health Checkups
  • Meditation
  • Yoga
  • Gym & Bicycle Subsidy
  • Employee Share Purchase Plan
  • Sabbatical Bank
  • Public Transportation Ticket Discount
  • Life & Accident Insurance
  • Corporate Pension Plan
  • Digital Meal Vouchers
  • Food Vouchers
  • Corporate Discounts

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