Remote Logistics Analyst: Data-Driven Supply Chain

Placements24; Centurion; Hybrid; ZAR 420,000 - 700,000; Full time

Benefits offered by this job

Private health insurance

Retirement fund contribution

Professional development

Job summary

Placements24 is seeking a highly analytical Remote Logistics Analyst to join a distributed team. You will analyze complex supply chain data, build dashboards, and translate insights into actionable strategies to improve efficiency across client networks.

The role emphasizes remote collaboration, cross-functional communication, and ongoing optimization of transportation, warehousing and inventory processes. A strong data mindset and experience with visualization tools are essential.

Qualifications

• A Bachelor's degree in a related analytical field.
• 3+ years of experience as a Logistics Analyst or similar role.
• Proficiency with Excel, SQL, Python or R and data viz tools.

Responsibilities

• Analyze large datasets on transportation, warehousing and inventory to identify trends and cost-saving opportunities.
• Develop dashboards and reports to visualize KPIs for supply chain operations.
• Model and forecast demand, lead times and inventory levels for strategic planning.
• Perform root cause analysis and propose data-driven solutions.
• Collaborate with operations, procurement and IT to implement optimization initiatives.
• Prepare presentations for senior management and stay updated on best practices.

Skills

Excel

SQL

Python

R

Education

Bachelor's degree in Logistics / Supply Chain / Industrial Engineering / Data Science

Tools

Tableau

Power BI

Job description

Placements24 is seeking a highly analytical Remote Logistics Analyst to join a distributed team. You will analyze complex supply chain data, build dashboards, and translate insights into actionable strategies to improve efficiency across client networks.

The role emphasizes remote collaboration, cross-functional communication, and ongoing optimization of transportation, warehousing and inventory processes. A strong data mindset and experience with visualization tools are essential.