(Senior) Analytics Engineer (m/w/d)
Core
Build enterprise-wide KPI and monitoring systems for operational logistics to support strategic and operational decision-making for 30+ logistics sites.
Role type
Senior Analytics Engineer (Logistics)
Builds
Production analytics applications, scalable data models, and end-to-end KPI frameworks for operational logistics.
Domain
Logistics / Supply Chain / Data Engineering
Deliverable
dashboards & analysis
Required skills
SQL (complex queries, window functions, time logic), Python, Power BI (modeling, DAX, RLS), Low-code tools (Retool), Databricks, Azure, REST APIs
Preferred skills
Degree in Computer Science, Math, Logistics, or Data Science
Technologies
SQL, Python, Power BI, Retool, Databricks, Azure, REST APIs
Responsibilities
Design and implement end-to-end KPI and control frameworks from concept to rollout; Build pipelines and scalable data models to transform raw data into productive analytics; Structure, analyze, and visualize complex logistics data for decision support; Manage stakeholders at the senior management level; Evaluate the impact of optimization measures and derive actionable recommendations; Ensure quality, consistency, and evolution of reporting structures; Drive the development of internal tools and automation to enable data-driven work.
Seniority
Senior, hands-on IC
