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Data Quality and Process Improvement Analyst

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Horstmar, Nordrhein-Westfalen, Deutschland Schmitz Cargobull AG Vollzeit

Join Schmitz Cargobull as a Data and Process Analyst (m/f/d)

At Schmitz Cargobull, a renowned leader in trailer manufacturing and digital transport solutions, we are seeking a dedicated individual to contribute to our mission of innovation and efficiency.

Your Responsibilities:

  • Central Role: Create and implement solutions across various departments including sales, marketing, production, and supply chain management, gaining insights into our operations.
  • Collaboration with Stakeholders: Interact with a diverse range of internal clients, from team members to senior management. Collect requirements, assess workflows, pinpoint inefficiencies, and identify areas for enhancement.
  • Data Management Expert: Guarantee the availability and integrity of data, choosing appropriate tools and techniques for data processing and visualization. Leverage your expertise in analytical, statistical, and mathematical methodologies to interpret data effectively.
  • Process Improvement Advocate: Design and deploy IT solutions aimed at optimizing processes and fostering innovation, ensuring operational efficiency.
  • Commitment to Quality: Conduct testing, documentation, user training, maintenance, and troubleshooting while adhering to data protection and security standards.

Your Qualifications:

  • Completed secondary education with a strong emphasis on Mathematics and Computer Science.
  • Strong communication and teamwork capabilities.
  • Analytical thinking, problem-solving, and abstraction skills.
  • Genuine interest in business processes.
  • Dependability and a detail-oriented work approach.

Your Advantages:

  • Work with a prestigious company in the industry.
  • Develop your expertise in data analysis and process enhancement.
  • Participate in digital transformation initiatives utilizing advanced technologies.
  • Become part of a vibrant team culture with opportunities for personal and professional growth.