Remote Industrial Engineer - Process Optimization

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

About the Role

Our client is a forward-thinking organization seeking a highly skilled and self-motivated Remote Industrial Engineer specializing in process optimization . This fully remote position allows you to leverage your expertise to analyze and improve operational processes from anywhere. You will work with diverse teams across the company, identifying inefficiencies, designing solutions, and driving the implementation of best practices to enhance productivity and reduce costs. This role is perfect for an experienced engineer who thrives in a remote setting and is passionate about making a tangible impact on operational performance through innovative engineering solutions.

Key Responsibilities

• Conduct in-depth analysis of existing business processes across various departments to identify bottlenecks and areas for improvement.
• Design and implement innovative solutions to enhance efficiency, reduce waste, and optimize workflows using lean and Six Sigma principles.
• Develop process models, simulations, and data analysis to support decision-making and strategic planning.
• Collaborate effectively with cross-functional teams through virtual communication channels to drive change initiatives.
• Create and maintain comprehensive documentation, including process maps, standard operating procedures (SOPs), and training materials.
• Monitor the effectiveness of implemented solutions and provide ongoing recommendations for continuous improvement.

Requirements

• Bachelor's degree in Industrial Engineering or a related technical field.
• Minimum of 5 years of experience in industrial engineering with a strong focus on process analysis and optimization.
• Proven experience applying lean manufacturing , Six Sigma, or other continuous improvement methodologies.
• Expertise in data analysis, process modeling, and simulation tools.
• Exceptional remote collaboration and communication skills, with the ability to work autonomously.
• Proficiency with virtual collaboration tools and project management software.

Benefits

• Competitive salary and performance-based bonus opportunities.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and flexible working hours.
• Professional development opportunities, including online training and certifications.
• The flexibility and autonomy of a fully remote work arrangement.