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Remote Logistics Network Analyst

Remote / Online - Candidates ideally in
Durban, 3611, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-19
Job specializations:
  • Business
    Data Analyst
Job Description & How to Apply Below
About the Role

Our client, a global leader in Logistics & Warehousing , is seeking a highly analytical and driven Remote Logistics Network Analyst to join their expanding team. This is a fully remote position, offering the flexibility to work from anywhere within South Africa , while contributing to the optimization of our client's extensive logistics network. You will play a crucial role in analyzing complex data sets, identifying inefficiencies, and developing strategies to enhance network performance, reduce costs, and improve delivery times.

The ideal candidate will possess strong quantitative skills, a deep understanding of supply chain dynamics, and the ability to translate data-driven insights into actionable recommendations. This is an exciting opportunity to shape the future of logistics from a remote setting.

Key Responsibilities
  • Analyze the company's end-to-end logistics network, including transportation, warehousing, and distribution operations.
  • Develop and maintain models to forecast demand, optimize inventory placement, and assess transportation routes.
  • Identify key performance indicators (KPIs) and develop dashboards to monitor network efficiency and identify areas for improvement.
  • Conduct cost-benefit analyses for proposed network changes and operational improvements.
  • Collaborate with regional operations teams, carriers, and technology partners to implement network optimization strategies.
  • Utilize advanced analytical tools and techniques, including statistical modeling and simulation, to drive insights.
  • Prepare comprehensive reports and presentations for senior management, outlining findings and strategic recommendations.
  • Stay abreast of industry trends and emerging technologies in logistics and supply chain management.
  • Support the development and implementation of new logistics technologies and systems.
  • Troubleshoot and resolve issues related to network performance and operational bottlenecks.
Requirements
  • Bachelor's or Master's degree in Logistics, Supply Chain Management, Operations Research, Industrial Engineering, or a related quantitative field.
  • Minimum of 5 years of experience in logistics network analysis, supply chain planning, or a similar analytical role.
  • Proven experience with data analysis, modeling, and simulation tools (e.g., Excel, SQL, R, Python, Tableau).
  • Strong understanding of logistics operations, including transportation modes, warehousing strategies, and inventory management.
  • Excellent analytical and problem-solving skills, with the ability to interpret complex data and present findings clearly.
  • Ability to work independently and collaboratively in a remote team environment.
  • Strong communication and presentation skills, with the ability to influence stakeholders at all levels.
  • Experience with transportation management systems (TMS) and warehouse management systems (WMS) is a plus.
  • Must be legally authorized to work remotely in South Africa .
  • A proactive and self-motivated individual with a passion for optimizing complex systems.
Benefits

Our client offers a highly competitive salary commensurate with experience and a comprehensive benefits package. As a fully remote employee, you will enjoy the flexibility and work-life balance that comes with a home-based role, with the ability to work from anywhere in South Africa . This position offers significant opportunities for professional development and advancement within a leading global logistics organization.

You will be part of an innovative and forward-thinking team, contributing to cutting-edge logistics solutions. Our client fosters a culture of continuous learning and supports employee growth through various training programs. Joining our client means becoming part of a company that values efficiency, data-driven decision-making, and employee well-being.

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