Forecasting & Planning Manager - Advertising

Amazon Inc.

Omaha, Northern (NE, KY)

Hybrid

USD 90,000 - 172,000

Full time

2 days ago
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Job summary

Amazon.com Services LLC is seeking an experienced Forecasting Manager to develop and implement our demand forecasting and headcount planning tools at a global scale. You will model forecasting problems using advanced statistical methods, discover insights, and automate where possible.

You will lead cross-functional teams, analyze forecast variances, and design staffing plans and site models to optimize hiring and operations. Excellent communication to non-technical audiences is essential.

Qualifications

  • Bachelor's degree in Mathematics/Statistics/Computer Science/Engineering/Economics.
  • 5+ years of demand planning and forecasting experience.

Responsibilities

  • Produce and communicate Long Range and Short Range forecasts for a variety of business oriented KPIs, ingested by Planners, Finance managers, Program managers and Operations.
  • Produce strategical staffing plans, including hiring plans and site strategy models, and communicate those plans to Operations leaders.
  • Design, build and implement innovative forecasting and planning tools and mechanisms, to create a reliable and effective short and long term forecast for a wide range of Amazon Ads departments.
  • Build and maintain KPIs that reliably reflect forecasting accuracy, and downstream impact on the business.
  • Create new reporting & analytic opportunities by analysing and understanding key planning processes
  • Thought leadership on integration of new products/services supported by Advertising.
  • Write and present documents up to the VP level.

Skills

Analytical skills
Statistical modeling
Data visualization
Communication
Leadership

Education

Bachelor's degree in Mathematics/Statistics/Computer Science/Engineering/Economics

Job description

Amazon.com Services LLC is seeking an experienced Forecasting Manager to develop and implement our demand forecasting and headcount planning tools at a global scale. You will model forecasting problems using advanced statistical methods, discover insights, and automate where possible.

You will lead cross-functional teams, analyze forecast variances, and design staffing plans and site models to optimize hiring and operations. Excellent communication to non-technical audiences is essential.

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