Hybrid Senior Industrial Ops Analyst: Data-Driven Leader

Placements24; Sandton; Hybrid; ZAR 1,000,000 - 1,400,000; Full time

Benefits offered by this job

Executive bonus

Medical benefits

Retirement benefits

Professional development

Hybrid work environment

Job summary

Placements24 is seeking a Senior Industrial Operations Analyst in Sandton to drive data-driven improvements across the organization. This hybrid role focuses on analyzing complex operational data, identifying trends, and delivering recommendations to optimize processes and productivity.

The position requires a master’s degree in a quantitative field, 5+ years of experience, and advanced proficiency in R, Python, SQL, and Excel. Collaboration with leadership and IT is essential.

Qualifications

• Master's degree in Industrial Engineering, Operations Research, Statistics, or a related quantitative field.
• 5+ years of experience in operations analysis or a similar analytical role.
• Advanced proficiency in data analysis and statistical modeling software (R, Python, SQL, Excel).
• Strong understanding of operational processes in industrial or business environments.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Analyze operational data from multiple sources to identify trends and cost-saving opportunities.
• Develop and maintain dashboards to track key KPIs and metrics.
• Provide data-driven insights and strategic recommendations to leadership.
• Lead process-optimization projects and improve resource allocation.
• Collaborate with IT and operations teams to ensure data integrity.
• Mentor junior analysts and promote best practices in analysis.

Skills

Data analysis

Statistical modeling

Python

R

SQL

Excel

Education

Master's degree in Industrial Engineering

Master's in Operations Research

Master's in Statistics

Tools

R

Python

SQL

Excel

Job description

Placements24 is seeking a Senior Industrial Operations Analyst in Sandton to drive data-driven improvements across the organization. This hybrid role focuses on analyzing complex operational data, identifying trends, and delivering recommendations to optimize processes and productivity.

The position requires a master’s degree in a quantitative field, 5+ years of experience, and advanced proficiency in R, Python, SQL, and Excel. Collaboration with leadership and IT is essential.