Remote Supply Chain Analyst: Data-Driven Optimizer

Placements24

East London

Hybride

ZAR 420 000 - 540 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Fully remote position
Competitive salary package
Comprehensive medical coverage
Retirement contributions
Performance-based bonuses
Continual training & development
Collaborative virtual culture
Access to digital tools

Résumé du poste

Placements24 is seeking a highly analytical Remote Supply Chain Analyst to optimize global operations. You will leverage data analytics, forecasting, and modeling to cut costs and improve service across a distributed supply chain.

The role requires independent work in a fully remote setting, collaboration with procurement, logistics, and manufacturing teams, and a strong quantitative background to support strategic decision-making.

Qualifications

  • Bachelor's degree in a quantitative field; 4+ years in supply chain analysis.
  • Strong analytical and quantitative skills; proficient in Excel, SQL, Python.
  • Experience with ERP or planning software is desirable.

Responsabilités

  • Analyze supply chain data to identify trends and risks.
  • Develop and maintain supply chain models to optimize inventory and service performance.
  • Monitor KPIs and generate regular performance reports.
  • Collaborate with procurement, logistics, manufacturing, and sales to align strategies.
  • Identify cost-saving initiatives across transportation and warehousing.
  • Evaluate supplier performance and contribute to supplier management processes.
  • Support the implementation of new supply chain technologies and best practices.
  • Assist in contingency planning for disruptions.
  • Prepare analyses and presentations for management review.
  • Ensure compliance with regulations and company policies across the supply chain.

Connaissances

Excel
SQL
Python

Formation

Bachelor's degree in Supply Chain Management

Outils

ERP systems

Description du poste

Placements24 is seeking a highly analytical Remote Supply Chain Analyst to optimize global operations. You will leverage data analytics, forecasting, and modeling to cut costs and improve service across a distributed supply chain.

The role requires independent work in a fully remote setting, collaboration with procurement, logistics, and manufacturing teams, and a strong quantitative background to support strategic decision-making.

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