Hybrid Supply Chain Analyst: Data-Driven Forecasting

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 420,000 - 660,000; Full time

Job summary

Placements24 is seeking a highly analytical Supply Chain Analyst based in Richards Bay, KwaZulu-Natal, ZA. This hybrid role combines remote work flexibility with on-site collaboration to optimize procurement, inventory, and logistics, driving cost savings and service improvements.

You will develop demand forecasts, manage inventory levels, monitor KPIs, and work with cross-functional teams. The ideal candidate has 3+ years in supply chain analysis, strong data skills (Excel, SQL, Power BI), and

Qualifications

• Bachelor's degree or higher in a relevant field.
• Minimum 3 years of experience in supply chain analysis or related roles.
• Strong analytical and quantitative skills; proficient in Excel and data analysis tools (SQL, Power BI).
• Experience with ERP, WMS, TMS software and inventory management.

Responsibilities

• Analyze supply chain data to identify trends and cost-saving opportunities.
• Develop and maintain demand forecasts, inventory models, and network optimization strategies.
• Monitor inventory levels and recommend reorder points and safety stock.
• Track KPIs for logistics and distribution operations.
• Collaborate with procurement, manufacturing, sales, and logistics teams.

Skills

Analytical skills

Excel

SQL

Power BI

Communication

Education

Bachelor's degree in Supply Chain Management, Logistics, Business Administration, Industrial Engineering, or related field

Tools

ERP

WMS

TMS

Job description

Placements24 is seeking a highly analytical Supply Chain Analyst based in Richards Bay, KwaZulu-Natal, ZA. This hybrid role combines remote work flexibility with on-site collaboration to optimize procurement, inventory, and logistics, driving cost savings and service improvements.

You will develop demand forecasts, manage inventory levels, monitor KPIs, and work with cross-functional teams. The ideal candidate has 3+ years in supply chain analysis, strong data skills (Excel, SQL, Power BI), and