Hybrid Logistics Analyst: Data-Driven Optimizer

Placements24; Randburg; Hybrid; ZAR 420,000 - 560,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Medical and retirement benefits

Ongoing training and development

Randburg location emphasis

Job summary

Placements24 is seeking a data-driven Logistics Analyst to join our Randburg-based team on a hybrid schedule, optimizing supply chain and transport operations through in-depth data analysis and process improvements.

You will collect, interpret, and report on logistics data, spotting inefficiencies, reducing costs, and driving strategic decisions in a dynamic logistics environment. The role requires strong numerical skills and a passion for turning data into action.

Qualifications

• Bachelor's degree in Logistics, Statistics, Business Analytics, or a related field.
• Proven experience as a Logistics Analyst or similar analytical role.
• Strong quantitative skills and data interpretation abilities.
• Excellent report writing and presentation skills.

Responsibilities

• Collect, analyze, and interpret large datasets related to transportation and warehouse operations.
• Develop reports and dashboards to track KPIs and identify trends.
• Identify opportunities for cost reduction and efficiency improvements within the supply chain.
• Support the development and implementation of new logistics strategies and initiatives.
• Collaborate with logistics teams to provide data-driven insights and recommendations.
• Monitor industry benchmarks and best practices to inform analytical approaches.

Skills

Excel

SQL

BI software

Data analysis

Logistics concepts

Reporting & presentation

Education

Bachelor's degree in Logistics, Statistics, Business Analytics, or related field

Tools

Excel

SQL

BI tools

Job description

Placements24 is seeking a data-driven Logistics Analyst to join our Randburg-based team on a hybrid schedule, optimizing supply chain and transport operations through in-depth data analysis and process improvements.

You will collect, interpret, and report on logistics data, spotting inefficiencies, reducing costs, and driving strategic decisions in a dynamic logistics environment. The role requires strong numerical skills and a passion for turning data into action.