Inventory & Coding Analyst

About this role

A role for a professional with experience in inventory planning and supply chain analytics to support oil and gas clients. The role involves analysing stock, forecasting, maintaining material data in ERP systems, and driving inventory optimisation. The position focuses on improving demand forecasts, data quality, and inventory health across operations, maintenance, and procurement teams. The employer is KPMG, a large professional services firm with services in audit, tax and advisory, and a client base including oil and gas and large industrial environments.

What you would do

• Analyse stock levels, usage history, lead times and demand signals to recommend replenishment parameters.
• Monitor shortages, excess, slow-moving and obsolete stock and coordinate corrective actions.
• Maintain and plan inventory parameters.
• Support cycle counting, inventory reconciliation and root-cause analysis of variances.
• Collaborate with operations, maintenance, procurement and warehouse teams to improve demand forecasts.
• Produce dashboards and insights on inventory health, availability and working capital.
• Set up, monitor and maintain data quality for material masters, inventory classifications and inventory parameters in the ERP system.
• Drive inventory optimisation and manage write-off proposals for excess or obsolete stock.
• Ensure material availability for critical operations such as turnarounds, shutdowns and maintenance.
• Code and manage new material masters and oversee master data standardisation across SAP systems.

What they are asking for

• Bachelor's degree in supply chain management, logistics, engineering, operations, business administration or related discipline with a minimum GPA of 2.2.
• 3 to 5 years experience in inventory planning, materials management or supply chain analytics.
• Working knowledge of inventory controls, forecasting and material-master data.
• Advanced proficiency in Microsoft Excel and ERP/SCM systems.
• Experience using Power BI for dashboards, data visualisation and insights is advantageous.
• Strong analytical, problem-solving and communication skills.
• Ability to translate analysis into practical actions for stakeholders.
• Experience in oil and gas, energy or large industrial environments is preferred.

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