Remote Logistics Data Analyst

Placements24; South Africa; Remote; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive compensation

Health, dental, vision insurance

Generous paid time off

Job summary

Placements24 is seeking a highly skilled Remote Logistics Data Analyst to analyze large logistics datasets, build models, and deliver insights that optimize supply chain efficiency. You will create dashboards and provide data-driven recommendations to reduce costs and improve customer satisfaction.

The role demands strong SQL, Python/R, and data visualization skills, plus a solid logistics domain understanding. This is a fully remote position with global impact.

Qualifications

• Bachelor's or Master's degree in a quantitative field (Data Science, Statistics, Mathematics, CS, Logistics)
• Minimum 5 years as a Data Analyst, preferably in logistics/supply chain
• Strong proficiency in SQL for data extraction/manipulation
• Advanced knowledge of statistical analysis using R/Python
• Expertise in data visualization with Tableau/Power BI
• Excellent understanding of logistics and supply chain operations
• Strong problem solving and presentation skills, able to work remotely
• Experience with data warehousing and ETL; familiarity with cloud platforms (AWS/Azure/GCP)

Responsibilities

• Collect, clean, and analyze large datasets from logistics sources
• Develop data models and algorithms to identify trends and anomalies
• Create dashboards with Tableau/Power BI to communicate findings
• Provide data-driven recommendations to improve efficiency and reduce costs
• Monitor KPIs for transportation, warehousing, and inventory
• Collaborate with logistics teams to understand data needs
• Identify process improvements through data analysis and automation
• Stay updated with trends in data analytics and logistics
• Ensure data accuracy and integrity throughout analysis
• Present complex findings clearly to diverse audiences

Skills

SQL

Statistical Analysis

Data Visualization

Communication

Independent Work

Education

Bachelor's or Master's in Data Science/Statistics/Math/CS/Logistics

Tools

Tableau

Power BI

Python

R

ETL tools

SQL

Job description

About the Role

Our client is seeking a highly skilled and self-motivated Remote Logistics Data Analyst to join their expanding operations. This position is critical for analyzing vast amounts of logistics data, identifying trends, uncovering insights, and providing actionable recommendations to optimize supply chain efficiency and reduce costs. The ideal candidate will possess strong analytical, statistical, and data visualization skills, coupled with a deep understanding of logistics and supply chain principles. This role is fully remote, offering the flexibility to work from anywhere while contributing significantly to our client's strategic decision-making processes. You will be instrumental in transforming data into a strategic asset, driving performance improvements across the organization, and supporting operations that may include facilities in or near Polokwane, Limpopo .

Key Responsibilities

• Collect, clean, and analyze large datasets from various logistics and supply chain sources.
• Develop and implement data models and algorithms to identify trends, patterns, and anomalies.
• Create insightful reports and dashboards using data visualization tools (e.g., Tableau, Power BI) to communicate findings to stakeholders.
• Provide data-driven recommendations for improving operational efficiency, reducing costs, and enhancing customer satisfaction.
• Monitor key performance indicators (KPIs) related to transportation, warehousing, and inventory management.
• Collaborate with logistics teams to understand their data needs and provide analytical support.
• Identify opportunities for process improvements through data analysis and automation.
• Stay updated with the latest trends and technologies in data analytics and logistics.
• Ensure data accuracy and integrity throughout the analysis process.
• Present complex analytical findings in a clear, concise, and easily understandable manner to both technical and non-technical audiences.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Logistics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Analyst, preferably with a focus on logistics or supply chain data.
• Strong proficiency in SQL for data extraction and manipulation.
• Advanced knowledge of statistical analysis techniques and tools (e.g., R, Python).
• Expertise in data visualization tools such as Tableau, Power BI, or similar platforms.
• Excellent understanding of logistics and supply chain operations.
• Strong problem-solving skills and a keen eye for detail.
• Exceptional communication and presentation skills, comfortable presenting to senior management.
• Proven ability to work independently and manage multiple projects in a remote setting.
• Experience with data warehousing and ETL processes is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous.

Benefits

• Highly competitive salary package.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday leave.
• Retirement savings plan with company contributions.
• Opportunities for continuous learning and professional development.
• Fully remote work arrangement, offering maximum flexibility.
• Chance to make a significant impact on a global logistics operation.