Data Analytics and Engineering Trainee

vor 1 Woche

Stuttgart, Baden-Württemberg, Deutschland Mercedes-Benz Vollzeit
Join Our Team as a Data Analytics and Engineering Trainee

We are seeking a highly motivated and talented individual to join our team as a Data Analytics and Engineering Trainee. As a key member of our Quality Management department, you will play a crucial role in driving business growth and improvement through data-driven insights.

Key Responsibilities:
  • Develop and implement data analytics solutions to improve product quality and efficiency
  • Collaborate with cross-functional teams to identify business opportunities and drive process improvements
  • Analyze large datasets to identify trends and patterns, and develop predictive models to inform business decisions
  • Design and implement data visualizations to communicate insights to stakeholders
  • Stay up-to-date with industry trends and emerging technologies, and apply this knowledge to drive innovation and improvement
Requirements:
  • Bachelor's or Master's degree in Data Science, Engineering, Business Administration, or a related field
  • Minimum 3 months of international experience (study, internship, or work)
  • Excellent analytical and problem-solving skills, with a strong attention to detail
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Proficiency in programming languages such as Python, R, or SQL
What We Offer:
  • A dynamic and supportive work environment with opportunities for growth and development
  • A comprehensive training program to help you develop your skills and expertise
  • A competitive salary and benefits package
  • The opportunity to work on high-impact projects that drive business growth and improvement

We are an equal opportunities employer and welcome applications from diverse candidates. If you are a motivated and talented individual who is passionate about data analytics and engineering, we encourage you to apply for this exciting opportunity.

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