Operations Efficiency Engineer - Data-Driven Optimizer

Placements24; LegKraal Gate; Hybride; ZAR 650 000 - 900 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Comprehensive benefits package

Hybrid work arrangement

Résumé du poste

Placements24 seeks an Industrial Engineer / Operations Efficiency Analyst in Mahikeng, North West, South Africa. The role blends on-site analysis with remote data processing to drive efficiency improvements across departments.

You will collect and analyze data, build predictive models, and develop KPIs to track impact. Strong quantitative skills, Lean Six Sigma know-how, and clear communication are essential.

Qualifications

• Bachelor’s degree in Industrial Engineering or a related quantitative field.
• Minimum 4 years of experience in industrial engineering or operations analysis.
• Proficiency with data analysis tools (Excel, SQL, Python/R).
• Experience with Lean Manufacturing and Six Sigma principles.

Responsabilités

• Analyze operational data to identify trends, bottlenecks, and efficiency improvements.
• Develop and implement metrics and KPIs to track performance.
• Forecast needs using statistical techniques and modeling.
• Collaborate with managers to propose data-backed solutions.
• Design process improvements using Lean/Six Sigma methodologies.
• Create reports and presentations for stakeholders.
• Support business cases for new initiatives and technology investments.
• Conduct time-and-motion studies to set standards.
• Facilitate remote analysis and on-site collaboration.
• Stay updated with industry best practices in operations analysis.

Connaissances

Excel

SQL

Python

R

Lean manufacturing

Six Sigma

Analytical thinking

Communication

Formation

Bachelor's degree in Industrial Engineering or related quantitative field

Outils

SQL

Python

R

Simulation software

Description du poste

Placements24 seeks an Industrial Engineer / Operations Efficiency Analyst in Mahikeng, North West, South Africa. The role blends on-site analysis with remote data processing to drive efficiency improvements across departments.

You will collect and analyze data, build predictive models, and develop KPIs to track impact. Strong quantitative skills, Lean Six Sigma know-how, and clear communication are essential.