Remote Global Logistics Optimization Analyst

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 2,030,000 - 3,046,000; Full time

Benefits offered by this job

Premium health insurance

Retirement plan with company matching

Professional development opportunities

Generous paid time off

Job summary

Placements24 is seeking a highly analytical Remote Global Logistics Network Analyst to optimize a global logistics network, reduce costs, and improve speed. The role emphasizes data analysis, network modeling, and driving improvements across international operations, with full remote flexibility.

The ideal candidate has 7+ years in logistics analysis, strong modeling tool experience (Llamasoft/AnyLogic), and proficiency in SQL, Python, or R.

Qualifications

• Bachelor's degree in a quantitative field is required.
• A Master's degree is a plus.
• Minimum 7 years of experience in logistics analysis or network design.

Responsibilities

• Analyze global logistics network data to identify bottlenecks and cost-saving opportunities.
• Develop models for network design, optimization, and scenario planning.
• Collaborate with regional teams and partners to gather data and implement changes.
• Monitor KPIs related to transportation costs, transit times, and service levels.
• Prepare reports and presentations on findings and projected impacts.
• Design and implement pilot programs to test new logistics strategies.
• Ensure compliance with international trade regulations and customs requirements.
• Utilize analytics tools for visualization and predictive modeling.
• Provide guidance on routing, carrier selection, and mode of transport for global shipments.

Skills

Data analysis

Statistical modeling

SQL

Python

R

Independent work

Communication skills

Education

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

Master's degree

Tools

Llamasoft

AnyLogic

Job description

Placements24 is seeking a highly analytical Remote Global Logistics Network Analyst to optimize a global logistics network, reduce costs, and improve speed. The role emphasizes data analysis, network modeling, and driving improvements across international operations, with full remote flexibility.

The ideal candidate has 7+ years in logistics analysis, strong modeling tool experience (Llamasoft/AnyLogic), and proficiency in SQL, Python, or R.