Senior Industrial Analyst

Placements24; Vereeniging; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Medical aid

Pension fund

Performance-related incentives

Professional development opportunities

Generous paid time off

Job summary

Placements24 in Vereeniging is seeking a seasoned Senior Industrial Analyst to join a diversified industrial conglomerate. The role focuses on analyzing complex operational data, identifying trends, and delivering strategic recommendations to boost efficiency and productivity across multiple business units.

This hybrid position combines on-site collaboration in Vereeniging with the option for remote work, enabling data-informed decision-making to optimize supply chains, production processes, and

Qualifications

• Master's degree in Industrial Engineering, Data Science, Statistics, or a related quantitative field.
• Minimum of 6 years of experience in industrial engineering or data analysis, with a strong focus on operational analysis.
• Proven expertise in data analysis, statistical modeling, and performance metric development.
• Proficiency in data analysis software such as SQL, Python, R, and advanced Excel.
• Experience with business intelligence tools (e.g., Tableau, Power BI) is highly desirable.
• Strong understanding of industrial processes, manufacturing operations, and supply chain dynamics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to convey complex information to diverse audiences.
• Experience working in Gauteng industrial environments; hybrid on-site Vereeniging is preferred.

Responsibilities

• Collect, analyze, and interpret large datasets related to production, logistics, and operational performance.
• Develop and maintain dashboards and reports to track KPIs and operational metrics.
• Identify trends, patterns, and anomalies in operational data.
• Conduct in-depth analysis to identify inefficiencies and cost-saving opportunities.
• Develop predictive models and forecasts to support strategic planning and resource allocation.
• Collaborate with operations, finance, and supply chain to understand analytical needs.
• Present findings and recommendations to management clearly and concisely.
• Champion data analytics and BI tools across the organization.
• Research and recommend new analytical techniques and technologies.
• Ensure data integrity and accuracy in all analyses.

Skills

Data analysis

Statistical modeling

Performance metrics

Industrial processes knowledge

Problem solving

Communication

Presentation skills

Analytical thinking

Education

Master's degree in Industrial Engineering, Data Science, Statistics, or related quantitative field

Tools

SQL

Python

R

Excel

Tableau

Power BI

Job description

About the Role Our client, a diversified industrial conglomerate, is seeking an experienced Senior Industrial Analyst to join their team in Vereeniging . This critical role focuses on analyzing complex operational data, identifying trends, and developing strategic recommendations to enhance efficiency and productivity across multiple business units. The successful candidate will play a key part in optimizing supply chains, production processes, and overall business performance. This hybrid role allows for a flexible work arrangement, combining essential on-site analysis and collaboration in Vereeniging with the option for remote work. You will be instrumental in driving data-informed decision-making and contributing to the company's competitive edge.

Key Responsibilities

• Collect, analyze, and interpret large datasets related to production, logistics, and operational performance.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) and operational metrics.
• Identify trends, patterns, and anomalies in operational data to pinpoint areas for improvement.
• Conduct in-depth analysis of existing processes to identify inefficiencies and cost‑saving opportunities.
• Develop predictive models and forecasts to support strategic planning and resource allocation.
• Collaborate with various departments, including operations, finance, and supply chain, to understand their analytical needs.
• Present findings and recommendations to management and stakeholders in a clear and concise manner.
• Champion the use of data analytics and business intelligence tools across the organization.
• Research and recommend new analytical techniques and technologies.
• Ensure data integrity and accuracy in all analytical processes.

Requirements

• Master's degree in Industrial Engineering, Data Science, Statistics, or a related quantitative field.
• Minimum of 6 years of experience in industrial engineering or data analysis, with a strong focus on operational analysis.
• Proven expertise in data analysis, statistical modeling, and performance metric development.
• Proficiency in data analysis software such as SQL, Python, R, and advanced Excel.
• Experience with business intelligence tools (e.g., Tableau, Power BI) is highly desirable.
• Strong understanding of industrial processes, manufacturing operations, and supply chain dynamics.
• Excellent analytical, problem‑solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to convey complex information to diverse audiences.
• Experience working in industrial environments within Gauteng is preferred.
• Comfortable with a hybrid work model, requiring regular on-site presence in Vereeniging .

Benefits

• Our client offers a competitive salary and benefits package, including medical aid, a pension fund, and performance‑related incentives.
• This hybrid role provides flexibility and work‑life balance.
• Opportunities for professional development and continuous learning are actively supported through training programs and conferences.
• Generous paid time off is provided.
• This position offers a stimulating environment to apply advanced analytical skills to drive significant operational improvements in Vereeniging .