Remote Industrial Engineer: Global Supply Chain Optimizer

Placements24

Mossel Bay

Hybrid

ZAR 600,000 - 900,000

Full time

14 days+

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Benefits offered by this job

Remote work flexibility
Health, dental, and vision insurance
Performance bonuses
Home office allowance
Professional development courses

Job summary

Placements24 is seeking an experienced Industrial Engineer with a strong focus on supply chain optimization. The role is fully remote from Mossel Bay and involves analyzing complex logistics networks, identifying bottlenecks, and implementing data-driven improvements across procurement through delivery.

You will work with cross-functional teams and leverage SQL, Python and visualization tools to drive cost savings and performance gains in a global logistics context.

Qualifications

  • Bachelor's degree in Industrial Engineering or related field.
  • Minimum of 5 years' experience in industrial engineering focused on supply chain and logistics.
  • Proven track record optimizing complex supply chains and reducing costs.
  • Proficiency with SQL, Python and data visualization tools.

Responsibilities

  • Analyze and model supply chain processes to identify inefficiencies and bottlenecks.
  • Design and implement optimized logistics, inventory, and distribution strategies.
  • Develop KPIs to monitor performance and report progress.
  • Collaborate virtually with procurement, logistics, manufacturing and sales teams.
  • Evaluate new technologies or software to improve visibility and efficiency.

Skills

Analytical thinking
Remote collaboration
Communication

Education

Bachelor's degree in Industrial Engineering

Tools

SQL
Python
Tableau
Power BI

Job description

Placements24 is seeking an experienced Industrial Engineer with a strong focus on supply chain optimization. The role is fully remote from Mossel Bay and involves analyzing complex logistics networks, identifying bottlenecks, and implementing data-driven improvements across procurement through delivery.

You will work with cross-functional teams and leverage SQL, Python and visualization tools to drive cost savings and performance gains in a global logistics context.

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