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Das Mercedes-Benz Tech Innovation Analytics Lab sucht einen Data Engineer / Data Scientist zur Verstärkung des Data Management & Analytics-Teams. Hier arbeiten Sie an innovativen Lösungen für Kundenprojekte, nutzen modernste Technologien und fördern Ihre berufliche Entwicklung in einem engagierten Team. Teamarbeit und kontinuierliches Lernen stehen an erster Stelle, um die Fähigkeiten jedes Einzelnen zu verbessern.
In the area of Car Sales Forecasting & Distribution, we are looking for a Data Engineer (m / f / d) / Data Scientist (m / f / d) in the field of Advanced Analytics, Planning, and Forecasting within Expert Data Intelligence for our Data Management & Analytics team.
In customer projects, we utilize our deep expertise in analytics and our understanding of customer and vehicle data to generate new insights that enable our clients to make strategic decisions.
Within the Data Management & Analytics team, you will collaborate across disciplines with experts from Data Integration, Data Management, Data Intelligence, and Data Experience to develop comprehensive analytics solutions tailored to our clients.
At the Mercedes-Benz Tech Innovation Analytics Lab, you will have the opportunity to expand and contribute your professional and technological analytics expertise as part of a team.
"Making others better" is a core part of our culture — we value continuous development and challenge for you and your team every day.
Your profile :
The key is your enthusiasm for data, your use of the latest cloud technologies, and your passion for continuous learning.
You have a good understanding of business processes, data architectures, and modern data-driven analytics solutions.
You have relevant experience in building data warehouses, creating ETL processes, and several years of secure development skills in Python, PySpark, and/or Databricks.
You have experience in data analysis with SQL and data visualization using Power BI or similar tools.
You possess excellent written and spoken German and English skills.
You hold a solid foundation with a bachelor's degree in computer science, business informatics, economics, or a comparable field.
Benefits