Inventory Analytics & Supply Chain Planner

Network Recruitment

Johannesburg

On-site

ZAR 279,000 - 446,000

Full time

4 days ago
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Job summary

Network Recruitment is seeking an Inventory Data Analyst in Johannesburg to support production and planning through accurate stock control and proactive reporting.

You will plan long-lead parts, generate weekly reports, perform daily inventory checks, maintain correct SKU levels, and work with ERP systems to minimise dead stock.

A Diploma or degree in Supply Chain or related field, strong Excel skills, and 1–3 years experience are preferred.

Qualifications

  • Matric/Grade 12; Diploma or degree in Supply Chain, Logistics, Inventory Management, or related field.
  • Proficiency in Microsoft Excel.
  • Data and/or analytics related certification is a bonus.
  • Knowledge and experience with inventory or ERP systems.
  • 1–3 years' experience in inventory control, reporting, or supply chain analytics.

Responsibilities

  • Plan long lead time spare parts 6 months in advance for production schedules.
  • Generate weekly buying reports for production shortages and SKU replenishment.
  • Perform daily inventory checks to maintain stock levels and uninterrupted production.
  • Update product group code (ABDC) every 4 months to match movement trends.
  • Update SKU levels every 6 months after sign-off from Branch managers/HODs.
  • Generate forward order buying reports to assist supplier planning.

Skills

Microsoft Excel
Inventory management
Data analytics
Database management
Supply chain analytics

Education

Diploma or degree in Supply Chain/Logistics/Inventory Management

Tools

ERP systems

Job description

Network Recruitment is seeking an Inventory Data Analyst in Johannesburg to support production and planning through accurate stock control and proactive reporting.

You will plan long-lead parts, generate weekly reports, perform daily inventory checks, maintain correct SKU levels, and work with ERP systems to minimise dead stock.

A Diploma or degree in Supply Chain or related field, strong Excel skills, and 1–3 years experience are preferred.

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