Remote Logistics Network Optimization Analyst

Placements24; Polokwane; Remote; ZAR 420,000 - 720,000; Full time

Benefits offered by this job

Fully remote

Career development

Performance bonuses

Medical aid and retirement plan

Job summary

Placements24 seeks a highly analytical Remote Logistics Network Analyst to join its global operations. The role is fully remote, requiring strong self-management and collaboration across distances.

You will analyze and optimize the logistics network and identify improvements to reduce costs and improve service levels. The ideal candidate has 5+ years in logistics or network design and proficiency with modeling tools (AnyLogic, Llamasoft) and data skills (Excel, SQL, Python, R).

Qualifications

• 5+ years in logistics, supply chain analysis, network design, or related field.
• Experience with network modeling software (AnyLogic, Llamasoft, or similar).
• Strong quantitative and analytical skills with data tools (Excel, SQL, Python, R).
• Understanding of transportation, warehousing, and inventory management.

Responsibilities

• Analyze current logistics network design (routes, warehouses, inventory placement).
• Develop analytical models to identify cost reductions and efficiency gains.
• Evaluate transport modes and carriers to optimize delivery times and costs.
• Conduct network simulation and scenario planning to assess changes.

Skills

Network modeling

Logistics analysis

Data analysis

Excel

SQL

Python

R

Education

Bachelor's or Master's in Logistics / Supply Chain / OR

Tools

AnyLogic

Llamasoft

Excel

SQL

Job description

Placements24 seeks a highly analytical Remote Logistics Network Analyst to join its global operations. The role is fully remote, requiring strong self-management and collaboration across distances.

You will analyze and optimize the logistics network and identify improvements to reduce costs and improve service levels. The ideal candidate has 5+ years in logistics or network design and proficiency with modeling tools (AnyLogic, Llamasoft) and data skills (Excel, SQL, Python, R).