Supply Chain Analytics & Automation Expert

Csmmh

**
Microsoft fabric data pipelines
Power bi dashboard development
Python and pyspark coding skills
** Csmmh is seeking a Supply Chain Analytics & Automation Expert with extensive experience in data analytics, reporting, and process automation, particularly within highly regulated industries. The successful candidate will be responsible for driving the analytics roadmap, designing data pipelines, and ensuring data quality while collaborating across supply chain functions. **

Job Summary

  • The role involves driving the Supply Chain Analytics and Automation roadmap across global functions while designing scalable data pipelines using Microsoft Fabric.
  • Candidates must possess strong capabilities in building robust data ingestion pipelines and deploying advanced dashboards with Power BI, Power Automate, and Power Apps.
  • CSL Behring is a global biotherapeutics leader committed to saving lives through innovative therapies and operates one of the world's largest plasma collection networks.

Matching Summary

Match Score: 75

** Csmmh is seeking a Supply Chain Analytics & Automation Expert with extensive experience in data analytics, reporting, and process automation, particularly within highly regulated industries. The successful candidate will be responsible for driving the analytics roadmap, designing data pipelines, and ensuring data quality while collaborating across supply chain functions. **

Skills & Requirements

Must-have

  • Microsoft Fabric data pipelines
  • Power BI dashboard development
  • Python and PySpark coding skills
  • SQL and PowerQuery data extraction
  • Supply chain analytics experience
  • Robotic Process Automation implementation

Nice-to-have

  • APICS Certification or MBA degree
  • German language proficiency
  • Collaborative leadership style
  • Experience in highly regulated industries
  • Self-service analytics governance

Key Requirements

  • Minimum 5 years experience in pharmaceutical or regulated industry
  • Bachelor's or Master's degree in Supply Chain Management or Engineering
  • Strong background in data engineering and analytics
  • Proven track record leading data-related projects

Work Rights

Not specified

Tailored Resume

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