Industrial Efficiency Analyst

Placements24; Soweto; On-site; ZAR 650,000 - 950,000; Full time

Benefits offered by this job

Competitive salary

Health and retirement benefits

Professional development opportunities

Data‑driven problem solving

Collaborative environment

Job summary

Placements24 in Soweto is seeking an analytical Industrial Efficiency Analyst to drive improvements in production performance. You will collect, analyze, and interpret large data sets to pinpoint inefficiencies and support strategic decision‑making.

The role requires strong quantitative skills, solid understanding of industrial operations, and the ability to translate data insights into actionable recommendations that reduce costs and boost overall productivity.

Qualifications

• Candidate holds a Bachelor's degree in an analytical field such as Industrial Engineering, Economics or Statistics.
• Minimum 4 years of experience in data analysis, process improvement, or operational efficiency roles.
• Strong proficiency in data analysis software and statistical methods.
• Excellent analytical, problem‑solving, and communication skills.

Responsibilities

• Collect and analyze data on production processes, resource utilization, and costs.
• Identify drivers of inefficiency and bottlenecks in industrial operations.
• Develop models and reports to quantify inefficiencies and propose solutions.
• Conduct feasibility studies for proposed process improvements.
• Collaborate with engineering and operations teams to implement recommendations.
• Monitor effectiveness of changes and provide ongoing analysis.
• Present findings and recommendations to management in Soweto.

Skills

Data analysis

Analytical thinking

Excel

SQL

R

Python

Communication skills

Education

Bachelor's degree in Industrial Engineering, Economics, Statistics, or related analytical field

Tools

SQL

R

Python

Job description

About the Role

Our client, a major industrial enterprise located in Soweto , is seeking a highly analytical Industrial Efficiency Analyst to drive improvements in their operational performance. This role is instrumental in examining production processes, identifying inefficiencies, and recommending data-driven solutions to enhance productivity and reduce costs. You will be responsible for collecting, analyzing, and interpreting vast amounts of operational data to pinpoint areas for optimization and support strategic decision-making. The ideal candidate will possess strong quantitative skills, a thorough understanding of industrial operations, and the ability to translate complex data into actionable insights that lead to significant improvements in efficiency and overall business performance.

Key Responsibilities

• Collect and analyze data on production processes, resource utilization, and operational costs.
• Identify key drivers of inefficiency and bottlenecks within industrial operations.
• Develop models and reports to quantify the impact of inefficiencies and propose solutions.
• Conduct feasibility studies for proposed process improvements and operational changes.
• Collaborate with engineering and operational teams to implement efficiency-enhancing recommendations.
• Monitor the effectiveness of implemented changes and provide ongoing analysis and feedback.
• Present findings and recommendations to management and stakeholders in Soweto .

Requirements

• Bachelor's degree in Industrial Engineering, Economics, Statistics, or a related analytical field.
• Minimum of 4 years of experience in data analysis, process improvement, or operational efficiency roles.
• Strong proficiency in data analysis software (e.g., Excel, SQL, R, Python) and statistical methods.
• Experience with performance metrics and operational reporting.
Excellent analytical, problem‑solving, and critical thinking skills.
• Effective communication skills, with the ability to convey complex data insights clearly.

Benefits

• Competitive salary and performance‑based bonuses.
• Comprehensive health, dental, and retirement benefits.
• Opportunities for professional development and advanced analytical training.
• Exposure to diverse industrial operations and problem‑solving scenarios.
• A collaborative work environment focused on data‑driven decision‑making.