Global Demand & Forecast Leader

Corning

gmina Stryków

On-site

PLN 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Bonuses and long-term incentives
Pension benefit
Health benefits
Paid time off
Employee Assistance Program

Job summary

Corning in Poland seeks a Global Demand Planner to lead demand forecasting for multiple product lines. You will integrate commercial input with operations to build consensus on short-term demand and long-term forecasts, applying statistical models and BI tools.

The role emphasizes data-driven analysis, cross-team collaboration, and process improvement within the supply chain. On-site position with opportunities to influence company-wide forecasting practices.

Qualifications

  • Strong analytical skills (quant/qual) with big-picture view.
  • Excellent interpersonal and written communication abilities.
  • 0–3 years in supply chain or related field.

Responsibilities

  • Develop demand forecasts (operational) at multiple aggregation levels for short-term and long-term planning.
  • Review historical sales trends and demand drivers; prepare forecast data and models.
  • Coordinate cross-functional research to reconcile variances and refine forecast assumptions.
  • Collaborate with commercial and product teams to ensure current and accurate forecast information.
  • Use Demand Planning software as the primary forecasting tool.
  • Coordinate changes in demand plan with supply chain and operations.
  • Prepare and maintain reports on the demand planning process.
  • Track and report key metrics versus forecasts to senior management (e.g., wMAPE, FVA).

Skills

Analytical skills
Communication skills
Supply chain experience

Education

Degree in Supply Chain Management or similar

Tools

Microsoft Power BI
ERP systems
MS Office

Job description

Corning in Poland seeks a Global Demand Planner to lead demand forecasting for multiple product lines. You will integrate commercial input with operations to build consensus on short-term demand and long-term forecasts, applying statistical models and BI tools.

The role emphasizes data-driven analysis, cross-team collaboration, and process improvement within the supply chain. On-site position with opportunities to influence company-wide forecasting practices.

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