Remote Logistics Data Analyst - Supply Chain Visibility

Placements24; Centurion; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Generous paid time off

Job summary

Placements24 seeks a highly analytical Remote Logistics Data Analyst to join a forward-thinking supply chain team. You will analyze large logistics datasets, develop dashboards, and provide data-driven insights to optimize routes, costs, and delivery times.

The role emphasizes independence in a remote setting, strong technical skills in SQL, Python or R, and experience with Tableau or Power BI to drive actionable improvements.

Qualifications

• Bachelor's degree in a quantitative field (Data Science / Statistics / CS / Logistics).
• Proven Data Analyst experience in logistics or supply chain.
• Strong SQL, Python or R skills.
• Experience with Tableau or Power BI and data visualization.

Responsibilities

• Collect, clean, and analyze large logistics datasets (transportation, warehousing, inventory).
• Develop dashboards and reports to visualize KPIs and metrics.
• Identify trends, anomalies, and opportunities for optimization.
• Provide data-driven recommendations to improve routes and delivery times.
• Collaborate with cross-functional teams to understand data needs and deliver insights.
• Develop predictive models to forecast demand and potential disruptions.
• Ensure data integrity across analytical processes.

Skills

SQL

Python

R

Data analysis

Education

Bachelor's degree in data science / statistics

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Remote Logistics Data Analyst to join their innovative supply chain team. This is a fully remote position, offering the flexibility to work from anywhere. The successful candidate will play a crucial role in analyzing complex logistics data, identifying trends, and providing actionable insights to optimize supply chain operations. You will be instrumental in enhancing visibility, improving efficiency, and supporting strategic decision-making across the organization. This role requires a strong technical aptitude, excellent problem-solving skills, and a passion for leveraging data to drive business improvements in the logistics sector. The position is ideal for an individual who thrives in an independent, remote work environment and is committed to delivering high-quality analytical output.

Key Responsibilities

• Collect, clean, and analyze large datasets related to transportation, warehousing, inventory, and supply chain performance.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and operational metrics.
• Identify trends, anomalies, and opportunities for improvement within the supply chain.
• Provide data-driven recommendations to optimize routes, reduce costs, and enhance delivery times.
• Collaborate with cross-functional teams, including logistics, operations, and IT, to understand data needs and deliver relevant insights.
• Develop predictive models to forecast demand, potential disruptions, and resource requirements.
• Ensure data integrity and accuracy across all analytical processes.
• Stay updated on the latest data analysis tools and techniques relevant to the logistics industry.

Requirements

• A Bachelor's degree in Data Science, Statistics, Computer Science, Logistics, or a related quantitative field.
• Proven experience as a Data Analyst, preferably within the logistics or supply chain sector.
• 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 understanding of supply chain principles and logistics operations.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Ability to work independently and manage multiple projects effectively in a remote setting.
• Excellent communication skills, with the ability to present complex data insights clearly to both technical and non-technical audiences.
• Must be comfortable working remotely and equipped with a reliable internet connection.

Benefits

• Competitive remote salary package.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with employer matching.
• Generous paid time off and holidays.
• Opportunities for professional development and online training.
• Work from anywhere in the world with a stable internet connection.
• Be part of a forward-thinking company that values data-driven decision-making.