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The Robert Bosch GmbHis looking forward to your application!
You are responsible for solving logistics business challenges using data - driven approaches with Bosch-Mobile-Solutions-wide impact.
You take responsibility for blending logistics process knowledge - especially in logistics planning and physical logistics - with data and methodology competence in data science and automation.
You are the main contact person for process experts at the business area Automotive Electronics, automotive logistics and Task Forces with respect to data analytics and -services solutions.
You develop system- and process concepts in automotive logistics jointly with partner business areas and central teams (e.g. RED Lake Infrastructure concept, Bosch-Mobile-Solutions-wide Use Case Roadmap).
You are responsible for the implementation, improvement and product ownership of developed solutions and processes and for the communication & training of product- and development results to stakeholders.
Your special responsibility is the creation of high-quality allocation forecasts within the Task Force Global Semiconductor organization.
Education: completed university degree (Master/Diploma/PhD) in Supply Chain Management, Economics, Business Administration/Computer Science/Engineering or a comparable subject
Personality and Working Practice: entrepreneurial mindset; strong communication and decision-making skills; fast-learner and target-oriented
Experience and Knowledge: very good knowledge of automotive planning processes and -data structures; good knowledge of relevant data sources, esp. BI4Logistics applications (SAP BW) and DALI; very proficient in data processing tools. Optimally knowledge in Python (esp. Pandas) and Jupyter; knowledge of Robert Bosch Enterprise Data Lake (RED LAKE) structures, Oracle SQL, Power BI / SAC, Knime, Physical Logistics and/or Operations Research & ML algorithms would be a plus
Languages: fluent English skills
Apply now in just 3 minutes!
You want to work remotely or in part-time - we offer great possibilities for mobile working and different part-time models.
Need support during your application? Frauke Küster (Human Resources) +49 711 811-27525
Need further information about the job? Constantin Ludmann (Functional Department) +49 7121 35-30267