Your Tasks

• Hands-on configuration, parameter optimization, and ownership of improvement initiatives within the planning system – with a primary focus on supply planning and replenishment automation, and growing exposure to demand forecasting
• Analysis and optimization of planning parameters (replenishment, safety stock, order calendars, lead times) to improve planning accuracy and automation rates
• Investigation of root causes for automation exceptions and design of system-based solutions to reduce them
• Contribution to the development of the machine-learning-based forecast – including testing new regressors and improving input quality
• End-to-end ownership of bounded transformation initiatives – from analysis through configuration, testing, and before/after impact measurement
• Building analyses and tools to diagnose planning performance and support data-driven decisions
• Self-directed prioritization and organization of own work in a fast-moving environment with multiple parallel initiatives

Your Profile

• Strong quantitative foundation through a degree in a numerate field, e.g. industrial engineering, mathematics, operations research, supply chain management, physics, computer science, or economics
• Proven problem-solving ability and systems thinking – you (m/f/d) enjoy understanding how complex systems behave and making them better
• Code and data literacy: ability to read, reason about, and critically evaluate code (e.g. Python, SQL) and data logic – demonstrated through coursework, thesis, or personal projects
• Active and confident use of modern AI tools for coding, analysis, research, and learning new systems
• Curiosity, drive, and resilience – energized rather than intimidated by complex domains, effective when priorities shift, and persistent on hard problems
• Excellent English (team working language) and good german language skills (support provided – not a requirement)
• Internship, thesis, or early experience in supply chain, planning, analytics, or operations
• Hands-on experience building analyses or tools in Python or SQL
• Exposure to forecasting, optimization, statistics, or a planning system such as RELEX, SAP IBP, o9, or Blue Yonder

About Us

The central Supply Chain / S&OP team operates at the intersection of Demand Planning, Logistics, Analytics, and Category Management. We drive demand forecasting, supply planning, and replenishment automation for Europe's largest consumer electronics retailer – and we are transforming the business into a predictive, fully automated, and optimized supply chain. Working hands-on in our planning platform (RELEX) and with data & AI tools, you (m/f/d) will grow into a core technical contributor (m/f/d) on that journey.

Our best solutions arise when diverse perspectives come together. Diversity is key to achieving our vision of becoming the Experience Champion in Consumer Electronics. We value diversity, promote equal opportunities, and foster inclusion – join our team!

Additional Benefits

Job Infos

​Location: Ingolstadt

MediaMarktSaturn Deutschland

Department: HQ - Group Indirect Procurement & Category Management

Entrylevel: Professional Level

Type of Employement: Full Time

Working Hours: 37,5

Persona: Job Requisition HQ Employee

Recruiter: Lea Ellerich 

Recruiter: Lea Theresa Ellerich