Remote Logistics Data Analyst & Route Optimizer

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

Benefits offered by this job

Fully remote work

Competitive salary

Health insurance

Retirement benefits

Professional development

Cutting-edge technology

Autonomy and impact

Job summary

Placements24 in South Africa is seeking a remote Logistics Data Analyst & Route Optimizer to analyze delivery performance, optimize routes, and reduce costs across the network. You will use SQL, Python, and GIS tools, work with Route4Me, ORTEC, and PTV, and collaborate with operations remotely to implement data-driven improvements.

This role emphasizes independent work, strong communication, and staying current with logistics analytics trends, offering a competitive salary and opportunities for

Qualifications

• Bachelor’s degree in a quantitative field related to logistics or supply chain.
• 4+ years in logistics analysis, route planning, or OR-type roles.
• Proficiency with route optimization software and GIS tools.

Responsibilities

• Analyze large datasets on delivery performance, traffic, fuel use and costs.
• Develop and test algorithms for efficient route optimization.
• Plan and manage daily schedules using Route4Me, ORTEC, PTV.
• Identify bottlenecks and propose data-backed improvements.
• Collaborate remotely with operations and dispatch teams to implement routes.

Skills

Analytical reasoning

Data mining

Predictive modeling

Remote work

Education

Bachelor's degree in Logistics

Tools

Route4Me

ORTEC

PTV

Google Maps API

ESRI

SQL

Python

R

Job description

About the Role

Our client, a leading global logistics and supply chain solutions provider, is seeking a highly analytical and technically proficient Remote Logistics Data Analyst & Route Optimizer. This fully remote position offers the unique opportunity to work from anywhere in South Africa, focusing on optimizing delivery routes and enhancing operational efficiency for our extensive network. You will leverage advanced data analytics tools and methodologies to identify patterns, predict potential disruptions, and design the most efficient routes for our fleet. The ideal candidate possesses a strong quantitative background, expertise in logistics software, and a passion for problem-solving in a dynamic, data-driven environment. This role is crucial for driving cost savings and improving delivery times across all operational regions.

Key Responsibilities

• Analyze large datasets related to delivery performance, traffic patterns, fuel consumption, and operational costs.
• Develop, test, and implement advanced algorithms and models for route optimization to enhance efficiency and reduce transit times.
• Utilize specialized logistics software (e.g., Route4Me, ORTEC, PTV) to plan and manage daily delivery schedules.
• Identify bottlenecks and inefficiencies in the current logistics network and propose data-backed solutions.
• Collaborate closely with operations managers and dispatch teams (remotely) to integrate optimized routes into daily execution.
• Monitor route performance in real-time and make dynamic adjustments as needed to address unforeseen circumstances like traffic or weather.
• Prepare comprehensive reports and visualizations to communicate findings and recommendations to stakeholders.
• Stay abreast of the latest trends and technologies in logistics optimization and data analytics.
• Contribute to strategic planning for network expansion and resource allocation based on analytical insights.
• Ensure compliance with all relevant transport and safety regulations in the areas of operation.

Requirements

• Bachelor's degree in Logistics, Supply Chain Management, Operations Research, Computer Science, Statistics, or a related quantitative field.
• Minimum of 4 years of experience in logistics analysis, route planning, or operations research, specifically focusing on transportation and distribution.
• Proficiency in using route optimization software and GIS tools (e.g., Google Maps API, ESRI).
• Strong analytical skills with experience in statistical analysis, data mining, and predictive modeling.
• Expertise in data analysis tools such as SQL, Python (Pandas, NumPy), R, or similar.
• Excellent understanding of logistics operations, fleet management, and supply chain principles.
• Proven ability to work independently, manage time effectively, and meet deadlines in a remote setting.
• Strong communication and presentation skills, with the ability to explain complex data insights clearly.
• Demonstrated experience in a remote work environment is highly preferred.
• Familiarity with the logistics landscape across various regions within South Africa is a plus.

Benefits

• This is a fully remote position, offering exceptional work-life balance and flexibility.
• Our client provides a highly competitive salary and performance-based incentives.
• Comprehensive health insurance and retirement benefits are included.
• Opportunities for continuous professional development, including access to online courses and certifications in data analytics and logistics.
• You will work with cutting-edge technology and have the autonomy to shape the future of our logistics operations.
• This role offers significant impact and growth potential within a forward-thinking global company.