Hybrid Logistics Analyst: Supply Chain Optimization

Placements24; Polokwane; Hybrid; ZAR 350,000 - 520,000; Full time

Benefits offered by this job

Hybrid work model

Professional development opportunities

Job summary

Placements24 is seeking a highly analytical Logistics Analyst in Polokwane to join the central supply chain team. The role blends hybrid work—remote analysis and on-site collaboration for strategy—and requires data-driven optimization of inventory, transportation, and costs.

You will build KPI dashboards, analyze trends, and support forecasting while collaborating with warehousing and logistics teams to implement improvements. A quantitative background and BI tools proficiency are essential.

Qualifications

• Bachelor's degree or equivalent in a quantitative field.
• Strong grounding in data analysis and statistics.
• Experience with logistics or supply chain analytics preferred.

Responsibilities

• Analyze supply chain data to identify trends and inefficiencies in logistics operations.
• Develop and maintain KPIs for logistics and transportation.
• Prepare reports and presentations on performance, cost analysis, and efficiency gains.
• Collaborate with logistics, warehouse, and transportation teams for process improvements.
• Evaluate logistics service providers and technologies.
• Conduct cost-benefit analyses for supply chain initiatives.
• Monitor inventory levels and movements to optimize stock and reduce holding costs.
• Support forecasting and demand planning activities as needed.

Skills

Excel

SQL

Power BI

Tableau

Data modeling

Statistics

Communication

Education

Bachelor's degree in Supply Chain Management

Tools

Power BI

Tableau

Job description

Placements24 is seeking a highly analytical Logistics Analyst in Polokwane to join the central supply chain team. The role blends hybrid work—remote analysis and on-site collaboration for strategy—and requires data-driven optimization of inventory, transportation, and costs.

You will build KPI dashboards, analyze trends, and support forecasting while collaborating with warehousing and logistics teams to implement improvements. A quantitative background and BI tools proficiency are essential.