Remote Distribution Network Analyst

Placements24; Stellenbosch; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Home office stipend

Performance-driven bonus

Health, dental, and vision insurance

Professional development opportunities

Flexible working hours

Global distributed team

Paid time off

Job summary

Placements24 seeks a highly analytical Remote Distribution Network Analyst to join a leading retail supply chain team. You will design, model, and optimize distribution networks, evaluate facility locations, and collaborate with finance and operations to drive cost reductions and service improvements in a remote-first environment.

The role emphasizes quantitative skills, proficiency with network modeling tools (Llamasoft, AnyLogic, Gurobi) and analytics (Python, R, SQL).

Qualifications

• Master's or equivalent in a quantitative field with supply chain focus.
• Strong background in distribution network design and modeling.
• Proficiency with network optimization tools and programming languages.

Responsibilities

• Analyze distribution network performance across facilities, transport, inventory, and lead times.
• Develop models to simulate configurations and scenarios for optimization.
• Identify opportunities to cut costs and improve speed and service levels.
• Perform site selection analysis for new or consolidated facilities.
• Collaborate with supply chain, operations, and finance to validate model assumptions.
• Prepare reports and presentations detailing findings and impacts.

Skills

Network optimization

Python

R

SQL

Data analysis

Quantitative methods

Communication

Education

Master's degree in Supply Chain Management or related field

Bachelor's degree with extensive experience

Tools

Llamasoft

AnyLogic

Gurobi

Job description

About the Role

Our client, a leader in the retail supply chain sector, is seeking a highly analytical and data-driven Remote Distribution Network Analyst to join their expanding team. This position is fully remote, allowing you to contribute to the strategic design and optimization of distribution networks from anywhere. You will be responsible for analyzing current distribution operations, identifying inefficiencies, and modeling potential improvements to enhance cost-effectiveness, speed, and service levels. The ideal candidate possesses a strong quantitative background, expertise in network modeling tools and techniques, and a deep understanding of supply chain and logistics principles. You will work closely with stakeholders across the organization to develop data-backed recommendations that shape the future of our client's distribution strategy. This is a unique opportunity for a skilled analyst to leverage their expertise in a dynamic, remote-first environment, making a tangible impact on a global scale. Join a company that champions innovation, embraces cutting-edge technology, and values the contributions of its distributed workforce. Your insights will be critical in ensuring our client maintains a competitive edge through an optimized and resilient distribution network.

Key Responsibilities

• Analyze existing distribution network performance, including facility locations, transportation costs, inventory placement, and lead times.
• Develop and maintain mathematical models to simulate and evaluate various distribution network configurations and scenarios.
• Identify opportunities to reduce costs, improve delivery speed, and enhance service levels through network optimization.
• Conduct site selection analysis for new distribution centers or the consolidation of existing facilities.
• Collaborate with supply chain, operations, and finance teams to gather data and validate model assumptions.
• Prepare comprehensive reports and presentations detailing findings, recommendations, and the expected impact of proposed network changes.
• Stay abreast of industry best practices, emerging technologies, and trends in distribution network design.
• Support the implementation of approved network changes and monitor their performance.
• Develop and track key performance indicators (KPIs) related to network efficiency and cost.
• Perform sensitivity analysis to understand the impact of various assumptions and variables on model outcomes.

Requirements

• Master's degree in Supply Chain Management, Operations Research, Industrial Engineering, Data Science, or a related quantitative field.
• A Bachelor's degree with extensive relevant experience will also be considered.
• Minimum of 4 years of experience in distribution network design, supply chain modeling, or logistics analysis.
• Proven expertise in network optimization software (e.g., Llamasoft, AnyLogic, Gurobi) and advanced analytical tools (e.g., Python, R, SQL).
• Strong understanding of supply chain principles, inventory management, transportation logistics, and facility operations.
• Exceptional analytical, modeling, and problem-solving skills.
• Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely.
• Ability to work independently, manage multiple projects simultaneously, and meet deadlines in a remote setting.
• High level of attention to detail and commitment to data accuracy.
• Experience with GIS software is a plus.
• Demonstrated ability to translate analytical findings into actionable business strategies.

Benefits

• This fully remote role offers a highly competitive salary, along with a performance-driven annual bonus.
• Employees receive a substantial home office stipend for equipment and connectivity.
• Comprehensive health, dental, and vision insurance plans are provided.
• The company strongly encourages and supports professional development through online courses, certifications, and industry conferences.
• Flexible working hours are a core component of this role, promoting an optimal work-life balance.
• You will join a globally distributed, collaborative team that utilizes advanced communication tools.
• Generous paid time off, including vacation, sick leave, and public holidays, is offered.
• A robust retirement savings plan with employer matching is available.
• Employees have access to a confidential Employee Assistance Program (EAP).
• Opportunities for career advancement into senior analytical or management positions within the supply chain division are excellent.