Senior Industrial Process Optimization Engineer

Placements24; Vereeniging; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote-first environment

Performance-based bonuses

Health insurance

Paid time off

Job summary

Placements24 is seeking a Senior Industrial Process Optimization Engineer to lead data-driven efficiency improvements across a national logistics network. This remote-first role emphasizes analytical problem-solving, cross-functional collaboration, and optimization project management.

The ideal candidate will have 5+ years in industrial engineering or process optimization within logistics, proficiency in simulation tools, and strong communication skills for remote teamwork.

Qualifications

• Bachelor's degree in Industrial Engineering, Operations Research, or related field.
• Minimum 5 years in industrial engineering, process optimization, or operations analysis, preferably logistics.
• Proficiency in simulation software (AnyLogic, Arena, FlexSim) and data tools (SQL, Python, R, Excel, Minitab).
• Strong analytical, problem-solving, and quantitative modeling skills.
• Experience with Lean, Six Sigma, and other process improvement methods.
• Excellent communication and ability to collaborate with remote teams.

Responsibilities

• Analyze existing operational processes in logistics and distribution centers to identify inefficiencies.
• Develop and implement process optimization initiatives using Lean, Six Sigma, TOC.
• Use data analysis and simulation to evaluate changes and predict outcomes.
• Design and optimize warehouse layouts, material flow, and workflows.
• Document SOPs and best practices for operational efficiency.
• Monitor KPIs and data to track improvements and challenges.
• Collaborate remotely with site managers and operations teams to sustain changes.
• Conduct time, motion, and workflow studies for productivity gains.
• Prepare reports and presentations detailing findings and results.
• Stay updated on logistics tech and optimization strategies.
• Support development and implementation of new systems and technologies.

Skills

Lean Six Sigma

Data analysis

Remote collaboration

Project management

Analytical thinking

Education

Bachelor's degree in Industrial Engineering or related field

Tools

AnyLogic

Arena

FlexSim

SQL

Python

R

Excel

Minitab

Job description

About the Role

Our client, a rapidly growing national logistics and distribution company, is looking for a highly analytical and experienced Senior Industrial Process Optimization Engineer to join their remote team. This role is pivotal in driving efficiency improvements across our client's extensive network of distribution centers and supply chain operations. You will be responsible for analyzing operational data, identifying bottlenecks, and implementing data-driven solutions to enhance productivity, reduce costs, and improve service levels. The ideal candidate possesses a strong background in industrial engineering, advanced analytical skills, and a proven ability to manage complex optimization projects. This is a remote-first opportunity, offering significant flexibility and the chance to impact a national operation.

Key Responsibilities

• Analyze existing operational processes within logistics and distribution centers to identify inefficiencies and areas for improvement.
• Develop and implement strategic process optimization initiatives using methodologies such as Lean, Six Sigma, and Theory of Constraints.
• Utilize advanced data analysis techniques and simulation modeling to evaluate process changes and predict outcomes.
• Design and optimize warehouse layouts, material flow, and operational workflows.
• Develop and document standard operating procedures (SOPs) and best practices for operational efficiency.
• Monitor key performance indicators (KPIs) and operational data to track improvements and identify ongoing challenges.
• Collaborate remotely with site managers, operations teams, and other stakeholders to implement and sustain process changes.
• Conduct time studies, motion studies, and workflow analyses to identify productivity gains.
• Prepare comprehensive reports and presentations detailing findings, recommendations, and project results.
• Stay abreast of industry best practices, emerging technologies, and automation solutions in logistics and supply chain management.
• Support the development and implementation of new operational systems and technologies.
• Ensure all proposed optimizations align with safety standards and operational requirements.

Requirements

• Bachelor's degree in Industrial Engineering, Operations Research, or a related quantitative field.
• Minimum of 5 years of experience in industrial engineering, process optimization, or operations analysis, preferably within logistics, warehousing, or supply chain.
• Proficiency in simulation software (e.g., AnyLogic, Arena, FlexSim) and data analysis tools (e.g., SQL, Python, R, Excel, Minitab).
• Strong analytical, problem-solving, and quantitative modeling skills.
• Proven experience with Lean, Six Sigma, and other process improvement methodologies.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with remote teams.
• Demonstrated ability to work independently, manage multiple projects simultaneously, and deliver results in a remote environment.
• Experience in developing and documenting SOPs and work instructions.
• Knowledge of Warehouse Management Systems (WMS) and Transportation Management Systems (TMS) is a significant advantage.
• Must have a dedicated workspace and reliable high-speed internet connection.

Benefits

• A fully remote work environment with flexible working hours.
• Highly competitive annual salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and company holidays.
• Opportunities for professional development, including access to online courses and conferences.
• Exposure to cutting-edge logistics technologies and optimization strategies.
• A collaborative and dynamic team culture.
• Potential for career advancement within a growing organization.