Remote Logistics Network Optimizer

Placements24

Durban

Hybrid

ZAR 720,000 - 1,100,000

Full time

4 days ago
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Benefits offered by this job

Remote work
Career growth
Training programs

Job summary

Placements24 in South Africa seeks a highly analytical Remote Logistics Network Analyst to optimize a global logistics network from a fully remote position. You will analyze transport, warehousing, and distribution data to identify inefficiencies and drive cost reductions and faster deliveries.

Requires 5+ years in logistics network analysis, strong skills in Excel/SQL/R/Python/Tableau, and the ability to translate insights into actionable recommendations for senior management.

Qualifications

  • 5+ years in logistics network analysis or similar analytical roles.
  • Strong data analysis, modeling, and simulation skills.
  • Experience with TMS/WMS and dashboard tooling is a plus.

Responsibilities

  • Analyze end-to-end logistics network across transport, warehousing, and distribution.
  • Develop models to forecast demand, optimize inventory, and route planning.
  • Create dashboards to monitor KPIs and identify improvement areas.
  • Conduct cost-benefit analyses for network changes.
  • Collaborate with regional teams, carriers, and tech partners on optimizations.
  • Use statistical modeling and simulation to derive insights for leadership.
  • Prepare reports and presentations outlining findings and recommendations.
  • Stay updated on logistics trends and new technologies.
  • Support implementation of new logistics tech and systems.
  • Troubleshoot network performance bottlenecks.

Skills

Data analysis
Network optimization
Forecasting
Communication

Education

Bachelor's degree in Logistics or related field
Master's in OR/Industrial Engineering

Tools

Excel
SQL
R
Python
Tableau

Job description

Placements24 in South Africa seeks a highly analytical Remote Logistics Network Analyst to optimize a global logistics network from a fully remote position. You will analyze transport, warehousing, and distribution data to identify inefficiencies and drive cost reductions and faster deliveries.

Requires 5+ years in logistics network analysis, strong skills in Excel/SQL/R/Python/Tableau, and the ability to translate insights into actionable recommendations for senior management.

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