Remote Lean & Six Sigma Operations Engineer

Placements24

Rustenburg

Hybrid

ZAR 1,000,000 - 1,400,000

Full time

2 days ago
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Benefits offered by this job

Home office support
Health insurance
Paid vacation
Paid sick leave
Professional development

Job summary

Placements24 is seeking an experienced Operations Efficiency Engineer to drive process improvements across global facilities in a fully remote role. You will analyze production and supply chain processes, apply Lean and Six Sigma methods, and design layouts, workflows, and KPIs to boost productivity while ensuring quality and safety.

The ideal candidate has a Master’s in Industrial Engineering and 8+ years in operations or process engineering, with strong data analytics, simulation experience,

Qualifications

  • Master's degree in Industrial Engineering or related field.
  • 8+ years of professional experience in operations management or process engineering.
  • Strong background in Lean, Six Sigma, and project management.
  • Experience with simulation software and data analytics.

Responsibilities

  • Conduct thorough operational analysis to identify efficiency gains and cost reductions.
  • Develop and implement strategic process improvements using Lean and Six Sigma.
  • Design and optimize facility layouts, material flow, and workforce scheduling.
  • Create process documentation, control plans, and KPIs.
  • Collaborate with operations managers, supply chain partners, and IT teams.
  • Use data analytics and simulation tools to model impacts of changes.

Skills

Lean manufacturing
Six Sigma
Project management
Data analytics
Statistics software

Education

Master's degree in Industrial Engineering

Tools

Arena
AnyLogic
CAD

Job description

Placements24 is seeking an experienced Operations Efficiency Engineer to drive process improvements across global facilities in a fully remote role. You will analyze production and supply chain processes, apply Lean and Six Sigma methods, and design layouts, workflows, and KPIs to boost productivity while ensuring quality and safety.

The ideal candidate has a Master’s in Industrial Engineering and 8+ years in operations or process engineering, with strong data analytics, simulation experience,

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