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Work at the forefront of automotive innovation with ZF,
one of the world’s leading automotive suppliers.

Data Analyst (Python, Power BI) (m/w/d)


Jablonec nad Nisou, CZ

Req ID 29674


The company ZF Friedrichshafen AG is represented at about 230 locations in 40 countries.  ZF is one of the top three automotive suppliers worldwide. In Jablonec and Liberec we are extending engineering teams dealing with development of personal car brake systems for leading global car manufacturers. 


Your Tasks

  • Participate in process- and the methodology definition for the application area of data science in the testing department.
  • Specify, develop and implement analysis-pipelines in order to be able to analyze data in a scalable manner. 
  • Perform data cleaning, data curation and end-to-end analysis. 
  • Present results and recommended actions, based on analysis, to various stakeholders. 
  • Implement and deploy applications and models to provide project-related support. 

Your profile

  • University degree in engineering, computer science, business informatics or similar with a focus on mathematics and data science. 
  • Very good knowledge of tools and programming languages (Python, Javascript, PowerBI).
  • Structured and independent way of working for analytical problem solving. 
  • Result-oriented communication and moderation with internal and external customers as well as in the international team.
  • Good communications skills in English (written and verbal).
  • Experience with databases (MongoDB, SQL), processes (V-Modell, ASPICE) and project management are beneficial. 


We Offer

  • Pleasant modern hi-tech workplace 
  • Friendly team-oriented working environment
  • Competitive salary
  • Employee Benefits: 25 days vacation, home-office, insurance contributions, cafeteria, medical service
  • VIRTUAL VISIT (2 minutes)


Be part of our ZF team as Data Scientist (m/w/d) and apply now!


Kristýna Paidarová

Our Commitment to Diversity

ZF is an Equal Opportunity and Affirmative Action Employer and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

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