Senior Demand Forecasting Leader

Oracle

Seattle (WA)

Presencial

USD 90.000 - 210.000

Jornada completa

Hace 2 días
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Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision insurance
401(k) Savings and Investment Plan
Paid time off and holidays
Parental leave

Descripción de la vacante

Oracle is seeking a Principal Demand Planner in Seattle to lead forecasting and decision-making through rigorous modeling, business intelligence, and market analysis. The role requires consolidating large data sets, identifying patterns and outliers, and translating findings into actionable recommendations with cross-functional partners.

This position emphasizes end-to-end supply chain planning, continuous improvement of inputs and methods, and presenting plans, risks, and recommendations to

Formación

  • Bachelor's degree or related field required.
  • 5+ years of demand planning and forecasting experience.
  • Advanced ability to consolidate and analyze large data sets from multiple sources.
  • Strong attention to detail and ability to communicate complex data clearly to executives.

Responsabilidades

  • Develop, maintain, and improve end-to-end long-range demand models at multiple levels to support supply planning.
  • Consolidate large data sets, validate data quality, and investigate variances and outliers.
  • Build demand plans from strategic goals, trends, and inputs from cross-functional teams.
  • Coordinate with partners to obtain timely inputs for planning processes.
  • Analyze forecast performance and identify risks and signals.

Conocimientos

Demand forecasting
Data analysis
Excel modeling
Executive communication
Cross-functional collaboration
SQL
PowerPoint

Educación

Bachelor's degree in Business Administration / Supply Chain / Engineering

Herramientas

Excel
SQL

Descripción del empleo

Oracle is seeking a Principal Demand Planner in Seattle to lead forecasting and decision-making through rigorous modeling, business intelligence, and market analysis. The role requires consolidating large data sets, identifying patterns and outliers, and translating findings into actionable recommendations with cross-functional partners.

This position emphasizes end-to-end supply chain planning, continuous improvement of inputs and methods, and presenting plans, risks, and recommendations to

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