Remote Industrial Efficiency Analyst - Data-Driven Impact

Placements24; Sandton; Hybrid; ZAR 800,000 - 1,100,000; Full time

Benefits offered by this job

Fully remote

Annual performance bonus

Professional development

Health and wellness benefits

Job summary

Placements24 presents a fully remote opportunity for an analytical Industrial Efficiency Analyst. The role focuses on examining production data, identifying inefficiencies, and developing data-driven strategies to boost productivity and reduce costs across client sites.

You will communicate findings to a remote team and clients, applying lean principles and industrial engineering know-how. The position requires a strong background in Industrial Engineering or related quantitative fields, 4+

Qualifications

• Bachelor's degree in a quantitative field such as Industrial Engineering, Operations Management, or Data Science.
• 4+ years in industrial engineering, operations analysis, or a similar role focusing on efficiency improvements.
• Proficient in data analysis tools (Excel advanced, SQL, Python or R).
• Experience with BI tools like Tableau or Power BI for data visualization.

Responsibilities

• Analyze operational and production data to identify inefficiencies.
• Develop data-driven strategies for process improvement and cost reduction.
• Use statistical analysis to quantify performance metrics and forecast trends.
• Create reports and presentations detailing findings and recommendations.

Skills

Analytical skills

Remote collaboration

Time management

Problem solving

Education

Industrial Engineering

Operations Management

Data Science

Tools

Excel

SQL

Python

R

Tableau

Power BI

Job description

Placements24 presents a fully remote opportunity for an analytical Industrial Efficiency Analyst. The role focuses on examining production data, identifying inefficiencies, and developing data-driven strategies to boost productivity and reduce costs across client sites.

You will communicate findings to a remote team and clients, applying lean principles and industrial engineering know-how. The position requires a strong background in Industrial Engineering or related quantitative fields, 4+