Remote Logistics Data Analyst

Placements24; Paarl; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Fully remote

Health insurance

Learning & development opportunities

Job summary

Placements24 is seeking a highly analytical Remote Logistics Data Analyst to join their team. You will collect, clean, and analyze large logistics datasets, identify trends and inefficiencies, and develop dashboards to visualize KPIs for global supply chain operations.

This fully remote role requires 5+ years in data analytics within logistics, strong SQL, Python, R, and BI tools, and the ability to translate data into actionable insights that improve cost, service levels, and route planning.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Logistics, or related quantitative field.
• Minimum of 5 years of experience as a Data Analyst, preferably within the logistics or supply chain industry.
• Proficiency in data analysis and visualization tools such as SQL, Python (Pandas, NumPy), R, Tableau, or Power BI.
• Strong understanding of logistics operations, transportation management, and warehousing principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to communicate complex data findings clearly to both technical and non-technical audiences.
• Experience with predictive modeling and statistical forecasting techniques is a plus.
• Self-motivated and able to work independently in a remote environment.

Responsibilities

• Collect, clean, and organize large datasets related to transportation, warehousing, and inventory management.
• Perform in-depth analysis of logistics data to identify performance trends, bottlenecks, and areas for cost savings.
• Develop and maintain dashboards and reports to visualize key logistics metrics and KPIs.
• Provide data-driven recommendations to optimize supply chain operations, such as route planning, inventory levels, and carrier performance.
• Collaborate with logistics teams and stakeholders to understand data needs and translate business requirements into analytical solutions.
• Utilize statistical methods and modeling techniques to forecast demand and assess operational risks.
• Identify and implement improvements to data collection and reporting processes.
• Stay current with advancements in data analytics and logistics technologies.

Skills

Quantitative skills

Analytical thinking

Problem-solving

Communication to tech and non-tech

Education

Bachelor's degree in Data Science / Statistics / Mathematics / Logistics / Supply Chain Management

Tools

SQL

Python (Pandas, NumPy)

R

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and proactive Remote Logistics Data Analyst to join their innovative team. This position is crucial for driving data-informed decision-making across our client's extensive logistics operations. You will be responsible for collecting, analyzing, and interpreting complex logistics data to identify trends, inefficiencies, and opportunities for optimization. This fully remote role allows you to contribute your expertise from anywhere, impacting our client's global supply chain performance. We are looking for a candidate with strong quantitative skills, proficiency in data analysis tools, and a deep understanding of logistics and supply chain principles. Your insights will be instrumental in enhancing efficiency, reducing costs, and improving service levels for our client.

Key Responsibilities

• Collect, clean, and organize large datasets related to transportation, warehousing, and inventory management.
• Perform in-depth analysis of logistics data to identify performance trends, bottlenecks, and areas for cost savings.
• Develop and maintain dashboards and reports to visualize key logistics metrics and KPIs.
• Provide data-driven recommendations to optimize supply chain operations, such as route planning, inventory levels, and carrier performance.
• Collaborate with logistics teams and stakeholders to understand data needs and translate business requirements into analytical solutions.
• Utilize statistical methods and modeling techniques to forecast demand and assess operational risks.
• Identify and implement improvements to data collection and reporting processes.
• Stay current with advancements in data analytics and logistics technologies.

Requirements

• A Bachelor's degree in Data Science, Statistics, Mathematics, Logistics, Supply Chain Management, or a related quantitative field.
• Minimum of 5 years of experience as a Data Analyst, preferably within the logistics or supply chain industry.
• Proficiency in data analysis and visualization tools such as SQL, Python (Pandas, NumPy), R, Tableau, or Power BI.
• Strong understanding of logistics operations, transportation management, and warehousing principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to communicate complex data findings clearly and concisely to both technical and non-technical audiences.
• Experience with predictive modeling and statistical forecasting techniques is a plus.
• Self-motivated and able to work independently in a remote environment.

Benefits

Our client offers a competitive salary package and the significant advantage of a fully remote working arrangement, providing exceptional work-life balance and flexibility. Employees benefit from comprehensive health insurance and opportunities for continuous learning and professional development. You will work with cutting-edge data analytics tools and contribute to strategic decisions that shape our client's logistics network. Join a team that values data-driven insights and innovation, and play a key role in optimizing global supply chain performance from anywhere. This is an excellent opportunity for a talented analyst to advance their career in a dynamic and forward-thinking company.