Data-Driven Supply Chain Analyst — 9-Month Contract

Rotork

Porcari

Hybrid

EUR 42,000 - 60,000

Full time

38 hours ago
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Job summary

Rotork is seeking a Supply Chain Analyst - Supplier on a 9-month fixed term contract based at our Porcari, Lucca site. You will oversee upstream supply chain to ensure on-time delivery, material and information flow from suppliers to point of use, and drive process efficiencies.

Key responsibilities include KPI measurement, supplier master data management in the ERP, inventory right-sizing, and leading improvement projects with suppliers to minimize disruption and cost.

Qualifications

  • Degree level or equivalent workplace qualification.
  • Experience in supply chain engineering/analytics or data analytics.
  • Strong knowledge of end-to-end supply chain processes.
  • Proficiency in Lean methodologies and process optimization.
  • APIC certified and Six Sigma green belt training desirable.

Responsibilities

  • Oversee upstream supply chain to deliver customer service and operational excellence.
  • Measure and report on supplier on-time delivery, lead time and order quantities.
  • Manage supplier master data within the ERP system and communicate changes.
  • Use inventory tools to right-size inventory of raw materials and purchased goods.
  • Lead improvement projects with suppliers to reduce disruption and costs.

Skills

Power BI
Lean
Six Sigma
End-to-end supply chain
Data analytics
Italian (Fluent)
English (C1)
APIC certified

Education

Bachelor's degree or equivalent

Tools

ERP systems
Power BI (tool usage)

Job description

Rotork is seeking a Supply Chain Analyst - Supplier on a 9-month fixed term contract based at our Porcari, Lucca site. You will oversee upstream supply chain to ensure on-time delivery, material and information flow from suppliers to point of use, and drive process efficiencies.

Key responsibilities include KPI measurement, supplier master data management in the ERP, inventory right-sizing, and leading improvement projects with suppliers to minimize disruption and cost.

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