Quality & Data Analytics Engineer (m/f/d)

BIRKENSTOCK is a global brand which embraces all consumers regardless of geography, gender, age and income. The company is deeply footed on a family tradition of shoemaking that can be traced back to 1774. With around 7100 employees worldwide, BIRKENSTOCK is the largest employer in the German footwear industry. To ensure our quality standards, we produce over 95% of our products in Germany and source more than 90% of our materials and components from Europe. The BIRKENSTOCK Group is headquartered in Linz am Rhein and maintains several locations in Germany, as well as sales offices in Europe, North America, the Middle East and Asia.

YOUR NEW PAIR OF SHOES:

- Develop and maintain the Quality Management data and analytics landscape in close collaboration with IT and relevant business functionsEstablish a central and reliable data foundation for Quality Management, integrating quality-relevant data from different source systems
- Define and continuously develop data structures, data models and reporting standards for Quality analytics
- Translate business requirements into scalable data and analytics solutions, enable and support Quality teams in the effective use and interpretation of data, reports and analytical tools
- Develop, maintain and continuously improve Power BI reports, dashboards and analytical applications
- Establish standardized Quality KPIs and ensure consistent definitions across the Quality organization
- Act as the central interface between Quality Management, IT and other data-owning functions
- Identify and implement opportunities for advanced analytics, automation and AI within Quality Management

YOUR WALK OF LIFE:

- University degree in Data Science, Computer Science, Business Informatics, Engineering, Mathematics or a comparable field
- Several years of professional experience in Data Analytics, Business Intelligence, Data Engineering or a comparable role
- Experience with modern cloud-based data platforms such as Microsoft Fabric, Snowflake or Databricks
- Very good knowledge of Microsoft Power BI, including data modeling, DAX and performance optimization
- Very good SQL skills and experience with ETL/ELT processes and heterogeneous data sources
- Strong experience in data and semantic modeling, particularly dimensional/star-schema modeling
- Understanding of Data Governance, Data Quality, metadata management and data lineage
- Experience in translating business requirements into technical data solution
- Fluent English, both written and spoken

WE OFFER:

BIRKENSTOCK offers you all the advantages of a successful, fast growing, global company: dynamic work environment, considerable design freedom, authentic and open corporate culture and excellent development opportunities. Sounds exciting? It is. Talent Acquisition Manager Ada Bralewska is looking forward to receiving your online application!