Data-Analyst Quality (w/m/div.)

  • Rexroth
  • 64711 Erbach, Germany
  • 12/05/2022
Full time Data Science Data Analytics Artificial Intelligence Statistics

Job Description

Company Description

Our drive and control technologies move machines and projects of all sizes around the world. We inspire our customers with intelligent components, tailor-made system solutions and services for fully networkable applications right up to the factory of the future. Do you also want to move more? Welcome to Bosch Rexroth.

We look forward to receiving your application!

Job Description
  • You are the data analyst (f/m/div.) for our business unit "Automation and Electricity (AE)". You collect and analyze quality data in order to define key areas of action for the business unit and the individual (factory) locations. With the help of artificial intelligence (AI), you make trends visible and develop dashboards with intervention limits for product monitoring in the field.
  • You use your analytical skills and act as a data-driven problem-solving expert within the business unit for large complaints.
  • You are the "SAP key user" of the contact person and expert (f/m/div.) for quality management (QM).
  • In this context, you will act as QM module manager (f/m/div.) and take on tasks such as granting authorizations, applying for roles, conducting training courses, further developing the module or introducing S/4 Hana.
  • Education : Completed technical studies in the field of engineering, scientific studies or comparable education
  • Personality and way of working : self-confident appearance, assertiveness, strong communication skills, team player (f/m/div.) and independent way of working; also readiness for further development as well as cross-departmental and strategic thinking within our organization.
  • Experience and know-how : experience and knowledge in dealing with SAP and MS Office; In addition, basic knowledge of quality methods (e.g. 8D, technical risk management, PS methods) is desirable
  • Enthusiasm : Curiosity about artificial intelligence
  • Languages : Very good knowledge of German and English, both spoken and written
Additional Information

Do you have questions about the application process?
Finja Lampart (Human Resources)

Do you have technical questions about the job?
Matthias Schneider (department)