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A leading e-commerce company located in Munich is looking for a professional to translate complex operational questions into structured analytical problems. This role involves developing models to support decision-making, analyzing datasets, and creating decision-support tools tailored to supply chain needs. The ideal candidate will have a university degree in a relevant field along with proficiency in Python, SQL, and Excel. This position offers a hybrid work environment.
Translate complex operational questions into structured analytical problems
Develop and apply models to support decision-making in areas such as strategic network design lead time optimization tactical and capacity planning
Analyze large diverse datasets to identify trends simulate scenarios and evaluate trade-offs (cost lead time service level)
Make intelligent assumptions where data is incomplete; ensure robust and practical solutions
Design and build dashboards visualizations and prototype tools to support strategic decisions
Execute deep-dive and ad-hoc analyses to support both day-to-day operations and long-term initiatives
Create and enhance scalable decision-support tools tailored to e-commerce and supply chain needs
Collaborate cross-functionally with stakeholders to understand business requirements and deliver actionable insights
Communicate complex findings clearly to both technical and non-technical audiences
Contribute to the continuous improvement of analytics capabilities and operational excellence initiatives
University degree in Industrial Engineering Operations Research Supply Chain Management Applied Mathematics Data Science or a related field
Proficiency in Python SQL and Excel
Experience in developing models dashboards and decision-support tools for logistics or e-commerce use cases
Solid understanding of analytical methods; interest or experience in optimization simulation or statistical modeling
Familiarity with optimization tools such as Gurobi or CPLEX is a plus
Strong data analysis skills including handling large datasets and drawing actionable insights
Ability to work independently on complex analytical tasks and contribute to cross-functional projects
Strong communication skills with the ability to clearly present analytical findings to technical and non-technical stakeholders
Team-oriented mindset with the ability to manage multiple tasks in a dynamic environment
Fluent in English
With more than 1000 passionate professionals located across 6 European offices we believe our success comes from working together and leveraging our international strengths. Expect a hybrid work setup : 60% in-office 40% remote collaborating with colleagues across locations.
#LI-Hybrid
Company equal opportunity statement
zooplus is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.
Remote Work: No
Employment Type: Full-time
Experience: years
Vacancy: 1