Project Manager Data & Analytics (m/w/d) In Vollzeit
Linde Material Handling
Salary according to metal industry collective agre...
Hybrid (flexible working hours and possibility for remote work)
Python scripting and data pipelines
Engineering or computer science degree
Experience with complex data models
Linde Material Handling is seeking a full-time Project Manager for Data & Analytics to enhance their modular product architecture and optimize data processes. The ideal candidate will have experience in engineering, IT, or data-driven projects, and possess strong analytical and communication skills
Job Summary
You will be responsible for developing Python scripts, queries, and data pipelines to support modular product architecture strategies.
The role offers an attractive compensation package including a collective agreement salary, special payments, and an annual performance bonus.
You will coordinate nearshore and offshore teams while ensuring high data quality and delivering actionable insights across the group.
Matching Summary
Match Score: 85
Linde Material Handling is seeking a full-time Project Manager for Data & Analytics to enhance their modular product architecture and optimize data processes. The ideal candidate will have experience in engineering, IT, or data-driven projects, and possess strong analytical and communication skills.
Salary
Salary according to Metal Industry Collective Agreement; Special payments (vacation & Christmas); Performance-based annual bonus
Skills & Requirements
Must-have
Python scripting and data pipelines
Engineering or Computer Science degree
Experience with complex data models
Managing nearshore and offshore teams
Microsoft tools for reporting
Nice-to-have
Cloud platform experience
BI platform familiarity
Change management background
International team collaboration
Data-driven optimization ideas
Key Requirements
Completed degree in Engineering, Computer Science, or Business Informatics
Several years of experience in engineering or data-driven projects
Solid understanding of analytics and data science concepts