Your Tasks

• Support in the development and optimization of recommendation use cases (e.g., product recommendations, personalization)
• Analysis of customer behavior and interaction data for insight generation
• Assistance in the definition and testing of recommendation strategies and logic
• Data extraction and preparation for use cases using BigQuery datasets
• Support of A/B testing and performance analysis of recommendations
• Collaboration with:
• Data Engineers (data availability and pipelines)
  • Data Scientists (models and algorithms)
  • Product Managers (use case definition)
• Monitoring and improvement of:
  • Recommendation performance (CTR, conversion, engagement)
• Contribution to documentation and use case design 

Your Profile

• Enrolled in a Master’s program (e.g., Data Science, Computer Science, Business Analytics, Information Systems)
• Strong SQL skills (data extraction, joins, aggregations)
• Good knowledge of Python (data analysis with pandas)
• Hands-on experience with BigQuery (or similar data warehouse)
• Basic understanding of:
  • Recommendation systems / personalization concepts
  • Customer data and behavioral analytics
• Strong analytical thinking and interest in data-driven decision making
• Fluent in English (German is a plus)
• Exposure to AI/ML concepts
  • Classification, ranking, or recommendation basics
• Familiarity with:
  • A/B testing or experimentation frameworks
  • Tools like dbt, Airflow, or analytics platforms
• Understanding of:
  • Customer journey / marketing funnels
  • Event-based data (e.g., tracking, clickstream)
• Exposure to retail / e-commerce / marketplace use cases
• Curiosity about customer behavior and personalization
• Ability to connect data with business impact
• Structured and hypothesis-driven thinking
• Proactive attitude and willingness to learn
• Good collaboration and communication skills

About Us

We are looking for a Working Student (m/f/d) in our Product team to drive our strategic data projects forward with your (m/f/d) innovative approach and fresh ideas. Our interdisciplinary team is characterized by agility, openness and respect. Have the opportunity to contribute new impulses, actively shape processes and shape the retail media world of MediaMarktSaturn in a forward-looking way with us.

The best solutions come from bringing together diverse perspectives. Embracing diversity is key to achieving our vision of becoming the Experience Champion. We value inclusion, foster equal opportunity, and welcome you to be part of our team. 

Additional Benefits

Job Infos

​Location: Ingolstadt

MediaMarktSaturn Retail Group

Department: Internships & Students

Entrylevel: Students

Type of Employement: Part Time

Working Hours: 20

Persona: Job Requisition Tech Employee

Recruiter: Laura Schröder 

Recruiter: Laura Schröder