(Senior) Analytics Engineer (m/w/d)
Core
Building enterprise-wide KPI and monitoring systems for operational logistics to support strategic and operational decision-making across 30+ logistics sites.
Role type
Senior Analytics Engineer (Operative Logistics)
Builds
End-to-end KPI frameworks, scalable data models, and interactive analytics applications for leadership and operational teams.
Domain
Logistics / Supply Chain / Data Engineering
Deliverable
dashboards & analysis
Required skills
SQL (complex queries, window functions, time logic), Python (automation), Power BI (data modeling, DAX, RLS, performance), Low-code tools (Retool), Databricks, Azure, REST APIs
Preferred skills
Degree in Business Informatics, Mathematics, Logistics, or Data Science
Responsibilities
Design and implement enterprise KPI and control frameworks from concept to rollout; build pipelines and scalable data models; structure, analyze, and visualize complex logistics data; manage stakeholder engagement with senior leadership; evaluate optimization measures and drive sustainable improvements; ensure quality and consistency of reporting structures; develop internal tools and automation logic.
Seniority
Senior, hands-on IC
