Inventory Data Analyst - Governance, Forecasting & Quality

Absa; Gauteng; On-site; ZAR 240,000 - 420,000; Full time

Job summary

Absa in Johannesburg, Gauteng, seeks an Inventory Data Analyst to support inventory management and supply chain operations through data analysis, reporting and forecasting. Based in Johannesburg, the role focuses on planning, stock accuracy and supplier coordination.

The candidate will manage daily checks, lead-time planning and SKU controls to optimize inventory and reduce dead stock, while leveraging Excel and ERP systems.

Qualifications

• Matric/Grade 12.
• Diploma or degree in Supply Chain, Logistics, Inventory Management, or related field.
• Data analytics certification is advantageous.
• Knowledge and experience with inventory or ERP systems.
• 1–3 years in inventory control, reporting or supply chain analytics.
• Inventory replenishment experience and data management concepts.
• Database management skills.
• Ability to work under pressure.

Responsibilities

• Plan long lead time spare parts 6 months in advance for production scheduling.
• Generate weekly buying reports for production shortages and SKU replenishment.
• Perform daily inventory checks to maintain accurate stock levels.
• Update ABDC analysis every 4 months for correct movement trends.
• Reduce dead or slow-moving stock through accurate planning.
• Update SKU levels every 6 months after approvals from Branch managers/HOD.
• Verify SKU levels to ensure correct inventory purchases.
• Generate forward order buying reports to assist supplier planning.

Education

Matric/Grade 12

Diploma or degree in Supply Chain, Logistics, Inventory Management, or related field

Data analytics certification

Tools

Microsoft Excel

ERP systems

Database management

Job description

Absa in Johannesburg, Gauteng, seeks an Inventory Data Analyst to support inventory management and supply chain operations through data analysis, reporting and forecasting. Based in Johannesburg, the role focuses on planning, stock accuracy and supplier coordination.

The candidate will manage daily checks, lead-time planning and SKU controls to optimize inventory and reduce dead stock, while leveraging Excel and ERP systems.