As a Senior Specialist I, Business Analytics, you will turn complex supply-chain data into decisions that help ASM keep critical parts available for our customers while improving inventory, cost, and lead-time performance. You will own and develop forecasting, inventory, capacity, and optimization models, working across Spares Supply Chain, Operations, Procurement, Logistics, Service, Finance, and IT to solve real operational challenges.
- Develop demand forecasts using historical demand, installed-base data, customer commitments, service requirements, equipment plans, consumption patterns, and other relevant business drivers.
- Apply statistical and machine-learning methods to intermittent, lumpy, seasonal, and rapidly changing demand across parts, product families, customers, regions, warehouses, and suppliers.
- Build expected, upside, downside, and constrained-demand scenarios, and evaluate forecast performance using measures such as WAPE, MAE, forecast bias, Forecast Value Added, and service-level outcomes.
- Translate forecasts into practical recommendations for purchasing, inventory, supplier capacity, and allocation decisions.
- Design inventory policies covering safety stock, reorder points, replenishment parameters, target stock levels, and order quantities to balance availability, working capital, obsolescence risk, and logistics cost.
- Bachelor’s degree in Data Science
- Business Analytics
- Operations Research
- Industrial Engineering
- Statistics
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