Inventory Analyst at Fadac Resources

Job Responsibilities

• Analyze sales and inventory data to forecast demand and uncover brand-level buying patterns.
• Monitor stock movement to identify slow-moving, obsolete, and fast-moving items, recommending clearance strategies or inter-branch transfers where necessary.
• Track and analyze inventory shrinkage trends (e.g., theft, damages, administrative discrepancies) and support loss prevention initiatives.
• Prepare and present accurate inventory reports (daily, weekly, and monthly) to support strategic decision-making by senior management.
• Maintain optimal stock levels by balancing inventory availability to avoid stockouts and overstocking.
• Evaluate the performance of new product launches using data-driven insights.
• Collaborate with the procurement/buying team to determine appropriate purchase order quantities based on demand forecasts and trends.
• Support finance in inventory valuation, cost analysis, and reconciliation processes.
• Develop and maintain dashboards to provide real-time visibility into stock health and key inventory metrics.
• Conduct ad-hoc data analysis to support promotions, pricing strategies, and other business initiatives. 

Job Requirements

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field.
• Minimum of 4 years’ experience in data analysis within a retail or similar data-driven environment.
• Relevant industry exposure in Retail Analytics, FMCG, Supply Chain, or Financial Services (data-focused roles preferred).
• Advanced proficiency in Microsoft Excel (including data modeling and analysis).
• Experience with ERP/MRP systems such as Sage, Oracle, or SAP.
• Knowledge of data visualization tools (e.g., Power BI or Tableau) is an added advantage.
• Strong capability in forecasting, trend analysis, and data interpretation.
• Strong analytical and critical thinking skills.
• High level of accuracy and attention to detail.
• Excellent reporting, presentation, and communication skills.
• Ability to translate complex data into actionable business insights.