Remote Logistics Data Analyst

Placements24; Gqeberha; Hybrid; ZAR 420,000 - 600,000; Full time

Benefits offered by this job

Fully remote work arrangement

Health, dental, and vision insurance

Paid time off and holidays

Professional development opportunities

Retirement savings plan

Performance-based bonuses

Home office stipend

Access to analytics tools and платform

Collaborative remote culture

Job summary

Placements24 is seeking a highly analytical Remote Logistics Data Analyst to optimize operations from anywhere in South Africa. You will collect, interpret, and report on complex logistics data to identify trends, inefficiencies, and opportunities for improvement, enabling cost-effective decisions for the supply chain.

The role requires 3–5 years of analytics experience, strong SQL/Python/R skills, and proficiency with Tableau or Power BI.

Qualifications

• Bachelor's degree in a quantitative field.
• 3–5 years of experience as a Data Analyst, preferably in logistics or supply chain.
• Strong proficiency in SQL, Python, or R.
• Experience with data visualization tools like Tableau or Power BI.
• Excellent analytical and problem-solving skills with attention to detail.
• Solid understanding of logistics and supply chain principles.
• Strong communication and presentation skills, able to explain insights clearly.
• Ability to work independently on multiple remote projects.

Responsibilities

• Collect, clean, and analyze large logistics datasets (transportation, warehousing, inventory).
• Develop and maintain dashboards and reports to track KPIs (on‑time delivery, cost per mile, turnover).
• Identify trends and anomalies to uncover inefficiencies and cost savings.
• Collaborate with managers to understand data needs and provide actionable insights.
• Build predictive models to forecast demand, optimize routes, and improve performance.
• Perform ad-hoc analyses to support strategic initiatives and issue resolution.
• Communicate findings clearly to technical and non-technical audiences.
• Ensure data integrity and accuracy throughout analysis.

Skills

SQL

Python

R

Education

Bachelor's degree in Data Science/Statistics/Mathematics/Logistics or related

Tools

Tableau

Power BI

Excel

Job description

About the Role

Our client, a global leader in supply chain solutions, is seeking a highly analytical and detail-oriented Remote Logistics Data Analyst to join their expanding team. This fully remote position offers the unique opportunity to work from anywhere within South Africa, contributing to optimizing logistics operations through insightful data analysis. You will be responsible for collecting, interpreting, and reporting on complex logistics data to identify trends, inefficiencies, and opportunities for improvement. The ideal candidate possesses strong quantitative skills, proficiency in data visualization tools, and a passion for leveraging data to drive strategic decision-making in the logistics domain. This role is critical for enhancing the efficiency and cost-effectiveness of our client's operations, allowing for significant impact without the need for physical presence in any specific office location. If you are a data enthusiast with a knack for logistics, this remote role is perfect for you.

Key Responsibilities

• Collect, clean, and analyze large datasets related to logistics operations, including transportation, warehousing, and inventory.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) such as on-time delivery, cost per mile, and inventory turnover.
• Identify trends, patterns, and anomalies in logistics data to uncover operational inefficiencies and areas for cost savings.
• Collaborate with logistics managers and operational teams to understand their data needs and provide actionable insights.
• Build predictive models to forecast demand, optimize routes, and improve supply chain performance.
• Perform ad-hoc data analysis to support strategic initiatives and troubleshoot operational issues.
• Communicate complex findings clearly and concisely to both technical and non-technical audiences.
• Ensure data integrity and accuracy throughout the analysis process.
• Stay updated on the latest data analysis techniques and logistics technologies.
• Contribute to the development of data-driven strategies for the logistics department.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Logistics, Computer Science, or a related quantitative field.
• 3-5 years of experience as a Data Analyst, preferably within the logistics or supply chain industry.
• Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Excellent analytical and problem-solving skills.
• Solid understanding of logistics and supply chain principles.
• Strong communication and presentation skills, with the ability to explain complex data insights effectively.
• Ability to work independently and manage multiple projects in a remote setting.
• High level of accuracy and attention to detail.
• Must have reliable internet access and a suitable home office setup.

Benefits

• Competitive salary package.
• Fully remote work arrangement, allowing for flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Opportunities for professional development and continuous learning.
• Contribution to a retirement savings plan.
• Performance-based bonuses.
• Home office stipend.
• Access to cutting-edge analytics tools and platforms.
• A collaborative and inclusive remote work culture.