Job Details
- Contract Type:
- Unlimited / Full-Time
- Country / City:
- Nigeria / Lagos
- Company:
- Beiersdorf Nigeria
- Job Function:
- Supply Chain Management
Drive the business planning process by balancing demand and supply, integrating financial and operational planning, and aligning strategic goals with day-to-day execution. Ensure reliable demand forecasts, optimum inventory, and strong cross-functional collaboration to achieve service levels at the lowest cost.
Demand Planning & Forecasting- Develop, maintain, and improve the Demand Plan. Conduct scenario analysis, manage assumptions, and communicate risks/opportunities versus financial forecasts.
Inventory & Product Availability- Collaborate with Supply and Inventory Planners to ensure continuous replenishment from factories and import hubs. Maintain optimum stock levels, ensuring timely delivery and freshness of inventory. Proactively manage excess/obsolete stock, expiry risks, and leftover inventories.
Sales & Operations Planning (S&OP)- Lead demand inputs for monthly S&OP (Demand Review, Pre-S&OP, Executive S&OP). Translate financial targets into volume forecasts during annual business planning.
IMS (Sell-out) Planning- Review sell-out and customer stockholding data to validate forecasts and predict IMS trends. Collaborate with Distribution Planners to ensure right inventory levels across customer warehouses.
Master Data Management- Create, update, and maintain master data in OMP, SAP, and PLM/PDM to ensure accuracy and avoid duplication. Manage product master data, NARTS, BOMs, lot sizes, and VAS products through their lifecycle.
➢ University or similar degree – ideally in Engineering, Statistics & Mathematics or Other Sciences
➢ 3-5 years relevant experience in FMCG
➢ Advanced skill level in Microsoft office (Excel, Power point) ➢ Power BI knowledge is an advantage.
➢ Good knowledge of SAP Modules (R3, APODP, APO-SNP) – Knowledge of MM and BI will be advantageous.
➢ Excellent Analytical skills: High level of attention to detail and ability to work with a large volume of data.
Your responsible recruiter is Akash Sharma. Please apply online via the Beiersdorf Intranet until 20th September 2025.