Remote Industrial Engineer: Lean Optimization Specialist

Placements24; East London; Hybrid; ZAR 1,469,000 - 2,122,000; Full time

Benefits offered by this job

Flexible working hours

Health insurance

Training & development

Remote work

Job summary

Placements24 is seeking a highly skilled Remote Industrial Engineer specializing in process optimization. This fully remote role lets you analyze and improve operational processes from anywhere, collaborating with teams across the company to identify inefficiencies and design solutions that boost productivity.

The ideal candidate has a Bachelor's in Industrial Engineering, at least 5 years in process analysis, and hands-on experience with Lean, Six Sigma, modeling, and simulation.

Qualifications

• 5+ years of industrial engineering experience focused on process optimization.
• Experience applying Lean, Six Sigma, or similar continuous improvement methods.
• Strong data analysis, modeling, and simulation skills.
• Excellent remote collaboration and communication abilities.

Responsibilities

• Analyze existing processes across departments to identify bottlenecks.
• Design and implement solutions to improve efficiency and reduce waste.
• Develop process models, simulations, and data analyses for decision-making.
• Collaborate with cross-functional teams via virtual channels to drive change.
• Create and maintain process maps, SOPs, and training materials.
• Monitor the impact of changes and recommend continuous improvements.

Skills

Data analysis

Process optimization

Lean manufacturing

Six Sigma

Remote collaboration

Education

Bachelor's degree in Industrial Engineering

Tools

Process modeling tools

Simulation tools

Project management software

Data analysis tools

Job description

Placements24 is seeking a highly skilled Remote Industrial Engineer specializing in process optimization. This fully remote role lets you analyze and improve operational processes from anywhere, collaborating with teams across the company to identify inefficiencies and design solutions that boost productivity.

The ideal candidate has a Bachelor's in Industrial Engineering, at least 5 years in process analysis, and hands-on experience with Lean, Six Sigma, modeling, and simulation.