Manufacturing Materials Planner / Scheduler

23 set - Milano
Moncler

Overview In this role you will support demand forecasting and supply planning for carry-over products, ensuring product availability and optimal inventory. You will work with production, planning and merchandising to align supply with market demand and cross-functional insights to refine forecasts. You will apply statistical models to generate forecasts and monitor performance, driving informed production capacity decisions.

This is an analytical, collaboration‐driven role at a global fashion group with a focus on efficient stock and strategic market insight.

Retribuzione / Benefits compensation range 35,000€ to 40,000€ gross corporate welfare services equal opportunity employer inclusive work environment Responsabilità Plan and analyze demand forecasts to optimize sourcing and distribution of carry-over products Collaborate with production, planning,



and merchandising to ensure smooth supply flow Analyze historical sales to develop accurate future demand forecasts Gather market insights from regional teams on trends and planned promotions Use statistical models to generate short-term and long-term forecasts Monitor forecast accuracy and adjust forecasts as needed Coordinate with production to plan capacity and allocate resources Analyze inventory data to determine optimal stock levels and reduce excess/shortages Generate regular reports on forecast performance, stock turnover, and key metrics Conduct market and consumer trend analyses to inform strategic decisions Requisiti fondamentali ~3+ years in a similar role ~ Bachelor's degree in economics, statistics, supply chain management, or related field ~ Ability to work independently in a dynamic environment ~ Excellent analytical and problem-solving skills ~ Proven ability to interpret business trends and derive actionable insights ~ Proven ability to influence and negotiate with cross-functional partners ~ analytical ~ organized ~ results-oriented ~ demand forecasting ~ statistical models ~ data analysis

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