Remote Operations Optimization Engineer

Placements24; Benoni; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Salary incentives

Health benefits

Remote work

Advanced software access

Learning & development

Job summary

Placements24 is seeking a Remote Operations Optimization Engineer to drive improvements in manufacturing and operational processes. This fully remote role supports Benoni-based activities from a distance, requiring strong data analytics and process analysis skills.

You will model processes with simulation tools, identify waste, and collaborate with on-site teams via virtual channels. A bachelor's degree in Industrial Engineering or related field and experience in lean methods are preferred.

Qualifications

• Bachelor’s degree in Industrial Engineering, Operations Management, or a related field.
• Proven experience in operations optimization, process improvement, or industrial engineering.
• Strong analytical skills and proficiency in data analysis tools (Excel, Python, R).
• Experience with simulation software and lean manufacturing principles.
• Excellent remote communication, collaboration, and project management skills.
• Ability to work independently and manage projects with minimal supervision.

Responsibilities

• Analyze operational data to identify inefficiencies, bottlenecks, and areas for process optimization.
• Develop and implement strategies for waste reduction, cost savings, and improved workflow efficiency.
• Utilize simulation software and analytical tools to model and test process improvements.
• Collaborate closely with on-site operational teams via virtual channels to ensure successful project execution.
• Create and maintain detailed process documentation, including SOPs and best practice guides.
• Monitor KPIs and report on the impact of implemented changes.

Education

Bachelor's degree in Industrial Engineering

Bachelor's degree in Operations Management

Tools

Excel

Python

R

Simulation software

Job description

About the Role

Our client is seeking a forward-thinking Remote Operations Optimization Engineer to drive improvements in their manufacturing and operational processes, supporting their Benoni -based activities from a distance. This fully remote role requires a deep understanding of operational systems, process analysis, and efficiency enhancement techniques. You will leverage data analytics and engineering expertise to identify opportunities for optimization, reduce waste, and improve overall productivity. This is an ideal opportunity for an experienced engineer who excels in remote collaboration and is passionate about delivering impactful operational solutions.

Key Responsibilities

• Analyze operational data to identify inefficiencies, bottlenecks, and areas for process optimization .
• Develop and implement strategies for waste reduction, cost savings, and improved workflow efficiency.
• Utilize simulation software and analytical tools to model and test process improvements before implementation.
• Collaborate closely with on-site operational teams via virtual communication channels to ensure successful project execution.
• Create and maintain detailed process documentation, including SOPs and best practice guides.
• Monitor key performance indicators (KPIs) and report on the impact of implemented changes.

Requirements

• Bachelor’s degree in Industrial Engineering, Operations Management, or a related field.
• Proven experience in operations optimization , process improvement, or industrial engineering.
• Strong analytical skills and proficiency in data analysis tools (e.g., Excel, Python, R).
• Experience with simulation software and lean manufacturing principles.
• Excellent remote communication, collaboration, and project management skills.
• Ability to work independently and manage projects with minimal supervision.

Benefits

• Generous salary and performance-based incentives.
• Comprehensive health and wellness benefits.
• Full-time, fully remote work arrangement with significant flexibility.
• Access to cutting-edge analytical and simulation software.
• Opportunities for continuous learning and professional development.