Remote Industrial Engineer - Data Analytics and Performance Metrics

Placements24; Polokwane; Hybrid; ZAR 500,000 - 900,000; Full time

Benefits offered by this job

Health insurance

Performance bonus

Retirement contributions

Job summary

Placements24 is seeking an Industrial Engineer with strong data analytics to join a fully remote team in South Africa. You will build KPI suites, collect and clean large datasets, and deliver data-driven insights to improve operational efficiency across logistics hubs and partner facilities.

You will develop dashboards, forecast performance, and support stakeholders with clear communication of complex analytics.

Qualifications

• Bachelor's degree in a quantitative field is required.
• 4+ years in industrial engineering or data analytics with KPI focus.
• Proficiency in SQL, Python, R, Tableau or Power BI.

Responsibilities

• Develop, implement, and maintain KPIs for operational performance across units.
• Collect, clean, and analyze large datasets from WMS, TMS, ERP systems.
• Identify drivers of performance variation and provide data-driven recommendations.
• Create dashboards and reports to visualize metrics for stakeholders.
• Use statistical analysis to forecast performance and risks.
• Collaborate with operations to understand data needs and provide support.
• Design and run A/B tests or pilots to validate changes.
• Automate data collection and reporting to improve efficiency.
• Contribute to strategic planning with data-based insights.

Skills

Analytical thinking

Problem solving

Independent work

Communication

Education

Bachelor's degree in Industrial Engineering or related quantitative field

Tools

SQL

Python

R

Tableau

Power BI

Pandas

Job description

About the Role

Our client, a rapidly growing supply chain solutions provider, is seeking a talented Industrial Engineer with a strong aptitude for data analytics and performance metrics to join their fully remote team.

This role is integral to understanding and improving the operational efficiency of our client's various logistics hubs and partner facilities. The successful candidate will be responsible for collecting, analyzing, and interpreting vast amounts of operational data to develop key performance indicators (KPIs), identify trends, and provide actionable insights for performance enhancement.

This position offers the ultimate flexibility of working from home, contributing to critical business decisions from anywhere. It's an exciting opportunity to shape the performance measurement framework for a dynamic company and drive data-informed decision-making across the organization.

This role is designed to be executed entirely remotely.

Key Responsibilities

• Develop, implement, and maintain a comprehensive suite of KPIs for operational performance across different business units.


• Collect, clean, and analyze large datasets from various operational systems (e.g., WMS, TMS, ERP).


• Identify key drivers of performance variation and provide data-driven recommendations for improvement.


• Create dashboards and reports to visualize performance metrics and communicate insights to stakeholders.


• Utilize statistical analysis and modeling techniques to forecast operational performance and identify potential risks.


• Collaborate with operations teams to understand their data needs and provide analytical support.


• Design and conduct A/B tests or pilot studies to validate proposed operational changes.


• Automate data collection and reporting processes where possible to increase efficiency.


• Contribute to the strategic planning process by providing data-based insights on operational capabilities and opportunities.

Requirements

• Bachelor's degree in Industrial Engineering, Data Science, Statistics, Computer Science, or a related quantitative field.


• Minimum of 4 years of experience in an industrial engineering or data analytics role, with a strong emphasis on performance metrics and operational analysis.


• Proficiency in data analysis and visualization tools such as SQL, Python (Pandas, NumPy), R, Tableau, or Power BI.


• Solid understanding of statistical concepts and methods.


• Experience with warehouse management systems (WMS) or transportation management systems (TMS) is highly desirable.


• Excellent analytical, problem-solving, and critical-thinking skills.


• Strong communication and presentation skills, with the ability to explain complex data insights clearly to a non-technical audience.


• Demonstrated ability to work independently and manage projects effectively in a remote environment.


• Must be eligible to work remotely within South Africa.

Benefits

This fully remote role comes with a competitive salary, performance bonuses, a comprehensive benefits package including health insurance and retirement contributions, and substantial opportunities for professional development in data analytics and industrial engineering. The flexibility of remote work allows for an excellent work-life balance while making a significant impact on operational performance.