Cape Town: Supply Chain Analyst – Data Insights

Placements24; Cape Town; Hybrid; ZAR 420,000 - 640,000; Full time

Benefits offered by this job

Medical aid

Provident fund

Annual leave

Career development

Hybrid work model

Performance bonus

Job summary

Placements24 in Cape Town is seeking a meticulous Supply Chain Analyst to enhance end-to-end operations. You will collect and analyze large data sets, build dashboards, and deliver insights to optimize inventory, logistics, and supplier performance in a dynamic, international business environment.

The role requires a quantitative background, strong Excel, SQL, and BI skills, and the ability to translate data into actionable recommendations.

Qualifications

• Bachelor's degree in a quantitative field related to supply chain.
• 2–4 years of experience in supply chain analysis or similar analytical roles.
• Proficiency in Excel (advanced), SQL, and BI tools such as Tableau or Power BI.

Responsibilities

• Collect, analyze, and interpret large volumes of supply chain data.
• Develop dashboards and reports to track KPIs like on-time delivery and inventory turnover.
• Identify cost-reduction opportunities across the supply chain.
• Collaborate with procurement, operations, sales, and finance to align strategies.
• Forecast demand and manage inventory to balance availability and holding costs.
• Evaluate logistics networks and warehousing strategies for improvement.
• Monitor supplier performance and support ERP/WMS-related initiatives.

Skills

Analytical thinking

Problem solving

Communication

Multitasking

Education

Bachelor's degree in Supply Chain Management or related quantitative field

Tools

Excel

SQL

Tableau

Power BI

ERP systems

WMS

Job description

Placements24 in Cape Town is seeking a meticulous Supply Chain Analyst to enhance end-to-end operations. You will collect and analyze large data sets, build dashboards, and deliver insights to optimize inventory, logistics, and supplier performance in a dynamic, international business environment.

The role requires a quantitative background, strong Excel, SQL, and BI skills, and the ability to translate data into actionable recommendations.