Working Student - Product Data & Analytics

Redcare Pharmacy
Berlin


About Redcare Pharmacy: 
As Europe's No.1 e-pharmacy  Redcare Pharmacy is powered by passionate teams and  cutting-edge  innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision "Until every human has their health" .  If you're seeking a career that offers purpose and aligns with your values, join us and start your #Redcareer  today. 

 

About the role 

As a  Working Student - Product Data & Analytics , you will support our RX Product Domain by helping Product Managers make data-driven decisions through analytics, reporting, experimentation, and AI-enabled insights . Working closely with Product Managers, Software Engineers, UX Designers, and AI specialists, you will  analyse product and customer data , evaluate product performance , and contribute to the development of data-driven solutions that improve our products and customer experience

This role offers a unique opportunity to gain hands-on experience in Product Analytics within one of Europe's leading eHealth companies . You'll work in a collaborative, international, and agile environment where you'll learn from experienced colleagues, develop practical skills in analytics and AI , and make a meaningful impact while balancing your studies.

Job Description



About your tasks

  • Analyze product and customer data to identify trends , opportunities , and actionable insights .
  • Build dashboards and reports using Power BI or Tableau to monitor product performance and business KPIs .
  • Support product experiments by preparing datasets , measuring outcomes , and evaluating feature performance .
  • Collaborate with Product Managers , Software Engineers , UX Designers , and AI specialists to develop data-driven product improvements .
  • Explore and apply AI tools , including Generative AI , to improve internal processes and customer experience .
  • Present analytical findings and recommendations to technical and non-technical stakeholders .
  • Document analyses , experiment results , and best practices to support continuous improvement .

Qualifications



About you 

You are curious, analytical, and eager to learn. You enjoy working with data, solving business problems, and collaborating with others to turn insights into better products. 

  • Currently enrolled in a Bachelor's or Master's degree in Data Science, Business Analytics, Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related field.

  • You have experience analyzing data through university projects, internships, or personal projects.

  • You have strong analytical thinking with the ability to present data and communicate insights clearly.

  • You have experience with Excel and data visualization tools such as Power BI or Tableau , as well as an understanding of KPIs and business metrics.

  • You have an interest in AI technologies and practical experience using tools such as ChatGPT or other Generative AI applications.

  • You have basic knowledge of Python and SQL is a plus, as is familiarity with Databricks , BigQuery , Jira , or Confluence .

  • You have Fluent English skills and having German language is a plus

Additional Information



About your benefits: 

In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: 

  • Sports : Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. 

  • Mental Health : Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge.  

  • Work from Home : If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. 

  • Mobility : We provide our employees with a fully costed Deutschland Ticket, which can be used at any time.  Click here to learn more.

  • And many more :) 

Veröffentlicht am 2026-08-18

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