Data Scientist | Data Scientist
GEBRÜDER WEISS GmbH
Job Summary
As a Data Scientist within the Supply Chain Management division at Gebrüder Weiss, you will play a pivotal role in transforming complex logistics data into actionable insights. Your daily responsibilities include developing and automating sophisticated data models, managing large-scale data analysis, and ensuring the professional implementation and operation of ETL processes and data pipelines. You will be tasked with identifying emerging trends and opportunities in data analytics to drive the continuous improvement of internal processes and tools. This position is ideal for analytical thinkers who thrive under pressure and enjoy working with numbers to solve complex problems. Joining an internationally successful Austrian family business with over 550 years of history, you will benefit from a collaborative team environment, a comprehensive onboarding phase, and the flexibility of partial home-office arrangements. The role offers a unique opportunity to shape global logistics through modern data engineering and business intelligence solutions.
Required Skills
Education
Completed technical education (HTL, University of Applied Sciences, or University) with a focus on Information Technology.
Experience
- Professional experience in the field of Data Analytics is preferred
- Experience working with Power BI and Fabric or similar Business Intelligence solutions
- Demonstrated experience in the implementation and operation of ETL processes
- Experience in managing and analyzing large volumes of data
- Proven ability to handle complex situations and work effectively under time pressure
Languages
Additional
- The position is based in Maria Lanzendorf (near Vienna) with direct public transport links (15 minutes from Vienna Main Station). Includes on-site parking and subsidized canteen access. Offers the possibility of partial home-office.