Remote Industrial KPI Analytics Engineer

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

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.