Project Manager Data & Analytics (m/w/d) In Vollzeit

Linde Material Handling / KION Group

Entgelt nach metall tarifvertrag; erfolgsabhängige...
Flexible with options for mobile work from home, subject to task requirements.
Python scripting and data pipelines
Engineering or computer science degree
Experience with complex data models
Linde Material Handling is seeking a Project Manager for Data & Analytics who will oversee the development of data pipelines and analytics tools. The position requires a strong background in engineering or computer science, along with experience in data-driven projects and a basic understanding of Python

Job Summary

  • The role involves leading the development of Python scripts, queries, and data pipelines to support modular product architecture.
  • Candidates will coordinate nearshore and offshore teams while ensuring high data quality and delivering actionable insights across the CTO department.
  • Benefits include a competitive salary based on collective bargaining agreements, flexible working hours with home office options, and extensive personal development opportunities.

Matching Summary

Match Score: 85

Linde Material Handling is seeking a Project Manager for Data & Analytics who will oversee the development of data pipelines and analytics tools. The position requires a strong background in engineering or computer science, along with experience in data-driven projects and a basic understanding of Python.

Salary

Entgelt nach Metall Tarifvertrag; Erfolgsabhängiger Jahresbonus; Betriebliche Altersvorsorge und Sonderzahlungen

Skills & Requirements

Must-have

  • Python scripting and data pipelines
  • Engineering or Computer Science degree
  • Experience with complex data models
  • Stakeholder management for nearshore teams
  • Microsoft tools for reporting

Nice-to-have

  • Interkulturelle Erfahrung in internationalen Teams
  • Erfahrung mit Cloud- oder BI-Plattformen
  • Change- oder Transformationskontext
  • Proaktive datenbasierte Optimierungsideen
  • Kommunikationsstärke in dynamischen Umfeldern

Key Requirements

  • Completed degree in Engineering, Computer Science, or Business Informatics
  • Several years of experience in engineering, IT, or data-driven projects
  • Solid understanding of analytics and data science concepts

Work Rights

Not specified

Tailored Resume

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