Remote Supply Chain Analyst – Data-Driven Purchasing

Placements24; South Africa; Remote; ZAR 180,000 - 240,000; Full time

Benefits offered by this job

Remote work benefits

Graduate salary package

Career training

Job summary

Placements24 is seeking a highly analytical Graduate Supply Chain Analyst for a fully remote role, initially supporting operations related to East London. The position is ideal for recent graduates keen on optimizing supply chain processes through data-driven insights and a proactive mindset.

You will analyze inventory, logistics and supplier performance to identify efficiency gains, prepare routine reports, and contribute to cost reduction in a remote-first environment.

Qualifications

• Strong analytical skills and proficiency in data analysis tools (e.g., Excel, SQL).
• Understanding of supply chain principles and logistics operations.
• Excellent problem-solving abilities and attention to detail.
• Effective communication and collaboration skills suitable for a remote work environment.

Responsibilities

• Analyze supply chain data to identify trends, inefficiencies, and cost-saving opportunities.
• Monitor inventory levels and forecast demand to optimize stock management.
• Evaluate logistics performance, including transportation costs and delivery times.
• Assist in developing and implementing supply chain improvements and best practices.
• Prepare regular reports on supply chain performance metrics for management.

Skills

Analytical skills

Excel

SQL

Data analysis

Education

Degree in SCM / Logistics / Business

Tools

Excel

SQL

Job description

Placements24 is seeking a highly analytical Graduate Supply Chain Analyst for a fully remote role, initially supporting operations related to East London. The position is ideal for recent graduates keen on optimizing supply chain processes through data-driven insights and a proactive mindset.

You will analyze inventory, logistics and supplier performance to identify efficiency gains, prepare routine reports, and contribute to cost reduction in a remote-first environment.