Analytics Engineer Logistik (w/m/d)

About the Team

The VZ Logistics Controlling team works closely with distribution centers and central logistics to optimize logistical processes from an economic and sustainability perspective. Using modern technologies, they identify potential for improvement through sound data analysis and actively contribute to increasing efficiency throughout the logistics network. The team is responsible for strategic analysis and preparation of logistics-specific key figures as a basis for management decisions, coordinates cross-site planning, and develops innovative reporting tools. Furthermore, strategic work on data structures is also gaining increasing importance.

For our dedicated and collegial team, we are looking for you as a new Analytics Engineer Logistics to further expand the data competence with your expertise and complete the team.

Responsibilities

• Data Analysis & Reporting: You analyze logistics data, create meaningful reports, and thereby support the optimization of warehouse and logistics processes.
• Data Architecture & Data Integration: You actively work on the design and further development of our data architecture. You deal with interfaces, ETL/ELT processes and ensure reliable data flows from WMS, ERP, and other systems.
• Data Models: You increasingly design the setup and maintenance of data models for reporting and analysis purposes - ideally with an understanding of modeling methods such as Star Schema or Data Vault.
• Data Quality & Documentation: You define and control data quality standards, ensure data governance, and clearly document data structures.
• Collaboration & Innovation: In exchange with IT, business units, and partners, you contribute to a scalable data basis. You support the introduction of new BI, Data Warehouse, and cloud technologies and actively promote data-driven and AI-supported further development within the team.

Qualifications

• Education & Experience: You ideally have successfully completed a degree in (Business) Informatics, Logistics, Data Science, or a comparable field, as well as relevant professional experience in a data-driven environment.
• Technical Skills: Solid knowledge of SQL, BI tools (e.g., Power BI, Strategy One), and ideally initial practical experience with data architectures (DWH, Lakehouse, cloud platforms like Snowflake) as well as ETL/ELT processes.
• Technical Understanding: You have already worked with data modeling methods and have basic knowledge of modern data architectures.
• Personality: You are characterized by independent, structured, and analytical thinking as well as strong communication skills. You enjoy designing data-based processes and working in a team to create added value together.