Demand Planner - Wheels
Carlisle Transportation Products - Ontario, CA

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Required Education and Experience:
  • IBF Certified Professional Forecaster or similar designation
  • Bachelor’s Degree in Economics, Commerce, Mathematics or similar
  • Minimum 5 years’ experience in a high SKU seasonal business
  • Practical knowledge of stats packages (i.e. SAS, SPSS or similar) and/or forecasting tools (i.e. Forecast Pro, John Galt Forecast X, Smart Forecast or similar)
  • Proven track record of highly effective analysis and communication
Personal Trait Profile:

  • Self-confident and self-starter.
  • Ability to remain focused on core processes despite outside influence
  • Effective communicator
  • Creative and resourceful
  • Highly organized and analytical

Job Description:
Job Purpose Statement The Demand Planner is responsible for creating as complete and accurate a picture as possible of total potential demand for the Company’s products. Beginning with a forecast driven by history and known product events (launches and planned obsolescence) which is developed by the Forecast Analyst, the Demand Planner integrates internal domain knowledge (e.g. Sales, Marketing) and external inputs (e.g. Customer Forecasts, Customer Inventories, POS Data) to create a non-biased and current 18 - 24 month rolling forecast of total potential demand. To lift the baseline forecast to a projection more reflective of current (i.e. non-repeating, non-historic) conditions, the Demand Planner must liaise with various stakeholders internally (Sales, Marketing, Customer Service) and potentially externally (customer planning teams) and integrate inputs in a measured and judicious way.

Essential Duties and Responsibilities:

  • Improve the predictive accuracy of the Company’s demand plans through the effective integration of domain knowledge into baseline forecasts
  • Manage the customer forecast integration process including
  • - Forecast error and bias analysis for customer forecasts

    - Management of customer forecast guidelines (time fences, data standards, etc.)

    - Liaise with Sales/Customer service as necessary to effect improvements in customer forecasts

    - Remove customer history from statistical baseline when forecasts are integrated

    - Apply correction coefficients as necessary

  • Manage the integration of internal domain knowledge including - Liaising with Sales, Marketing and Customer Service to identify upcoming events
  • - Identify past exceptions and communicate to Forecast Analyst

  • Remain abreast of market trends and conditions and adjust forecast as necessary, subject to adjustment guidelines
  • Calculate FVA for each step of forecast overwrite/improvement and report to Director of Planning

M-F and peak times as needed

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