Supply Chain Data Engineer (m/f/d)

at  MediaSaturn Deutschland GmbH

SUPPLY CHAIN DATA ENGINEER (M/F/D)

Für uns ist „Let’s Go!“ nicht einfach nur ein Slogan, sondern eine Einstellung. Wir lieben Technik und wir wollen begeistern. Wir haben Spaß und wir wollen inspirieren. Unsere Kunden und unser Team. Deshalb suchen wir Menschen, die diesen Spirit mit uns teilen. Menschen mit Leidenschaft. Die sich darauf freuen, gemeinsam mit 50.000 Mitarbeitenden in ganz Europa das Einkaufserlebnis der Zukunft zu gestalten.
For us „Let’s Go!“ is not just a slogan, it is an attitude. We love technology and we want to excite. We have fun and want to inspire. Our customers and our teams. That’s why we are looking for people who share this spirit. People who are passionate about creating the shopping experience of the future together with 50.000 colleagues across Europe.

ABOUT US

MediaMarktSaturn, a leader in the European consumer electronics market in Europe, is looking for a self-driven professional to implement optimization and simulation methods within the MediaMarktSaturn central supply chain team.
The primary objective of the role is to provide central capabilities within the international team to identify improvements and enhance cost saving potentials for the supply chain and implement any optimization models in the digital twin environment. Topics can include routing optimization, inventory stock allocation, predictive analytics, and more.

• Support developing & driving the strategy and roadmap to shape data driven decision making, implement and continuously develop the models and frameworks
• Identify business problems and translation to mathematical models
• Align approach and deliverables with key stakeholders and support implementation
• Maintain a standard performance across all models and ensure quality
• Liaise with country stakeholders for the development of new models or extensions
• Partner with the central stakeholders to improve processes and existing systems
• Prioritize backlog in transparent manner to achieve deployment targets
• Create what-if scenarios to support future decision making
• Collaborate with central teams to improve customer experiences
• Develop easy to read interfaces for stakeholders to interact with mathematical models
• Optimize codes to reduce runtime, data storage and handling, and improve results