Remote Operations Optimization Engineer

Placements24; Upington; Hybrid; ZAR 700,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Health benefits

Tools access

Job summary

Placements24 is seeking a highly analytical Remote Operations Optimization Engineer to join a global engineering team, supporting operations possibly in Upington and beyond. This fully remote role focuses on optimizing workflows, reducing costs, and driving operational excellence through data analytics.

You will design improved processes, model configurations, and test strategies using simulation and analytics, while collaborating with remote managers.

Qualifications

• Bachelor’s degree in Industrial Engineering, Operations Management, or a related quantitative field.
• Minimum of 6 years of experience in operations optimization, industrial engineering, or a related analytical role.
• Strong proficiency in data analysis, statistical modeling, and software such as Excel, Python, R, SQL.

Responsibilities

• Analyze operational data and process performance metrics to identify optimization opportunities.
• Design and model improved workflows, resource allocations, and system configurations.
• Develop data-driven strategies to reduce costs and waste.
• Collaborate with remote site managers and operations teams via virtual channels.
• Use simulation and analytical tools to test optimization strategies before implementation.
• Prepare reports and presentations outlining findings and recommendations for management.

Skills

Data analysis

Excel

Python

R

SQL

Statistics

Education

Bachelor’s degree in Industrial Engineering, Operations Management or related quantitative field

Tools

Process simulation software

Job description

About the Role

Our client is seeking a highly analytical and experienced Remote Operations Optimization Engineer to join their global engineering team, supporting operations potentially in the Upington region. This role is ideal for an individual who excels in identifying and implementing process improvements from a distance, utilizing data analytics and advanced engineering techniques. You will focus on optimizing operational workflows, enhancing efficiency, and reducing costs across various industrial processes without the need for physical site presence. The successful candidate will be a self-starter, adept at virtual collaboration and passionate about driving operational excellence through innovative engineering solutions in a fully remote capacity.

Key Responsibilities

• Analyze operational data and process performance metrics to identify areas for optimization and efficiency gains.
• Design and model improved operational workflows, resource allocations, and system configurations.
• Develop and implement data-driven strategies to reduce operational costs and minimize waste.
• Collaborate effectively with remote site managers and operations teams through virtual communication channels.
• Utilize simulation and analytical tools to test and validate proposed optimization strategies before implementation.
• Prepare comprehensive reports and presentations outlining findings, recommendations, and project outcomes for management.

Requirements

• Bachelor’s degree in Industrial Engineering, Operations Management, or a related quantitative field.
• Minimum of 6 years of experience in operations optimization, industrial engineering, or a related analytical role.
• Strong proficiency in data analysis, statistical modeling, and relevant software (e.g., Excel, Python, R, SQL).
• Experience with process simulation and modeling software is highly desirable.
• Demonstrated ability to work independently, manage projects, and deliver results in a remote setting.
• Excellent communication and interpersonal skills for effective virtual teamwork.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, retirement, and other benefits.
• Full remote work flexibility, allowing for an optimal work-life balance.
• Access to cutting-edge analytical tools and platforms.
• Opportunity to influence operational strategies across a global organization.