Senior FP&A: Sponsored Products & Brands – AI Forecasting

Amazon Inc.

Jersey City (NJ)

Presencial

USD 83.000 - 117.000

Jornada completa

hace 9 horas
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Ventajas ofrecidas por este puesto de trabajo

RSUs
Sign-on bonus
Health benefits
401(k)

Descripción de la vacante

Amazon.com Services LLC is seeking a Sr. Financial Analyst to own forecasting and financial controllership for the Sponsored Products and Brands businesses. You will partner with product, finance, and business teams to drive insights and influence decisions at the highest levels.

This role emphasizes advanced financial modeling, variance analysis, and cross-functional collaboration across FP&A. You will explore AI-enabled automation to improve processes while handling ambiguity and tight

Formación

  • 3+ years of finance, accounting, or related analytical field experience.
  • Bachelor's degree in business, finance, accounting, tax, economics, or a related analytical field.

Responsabilidades

  • Own end-to-end forecasting processes for Sponsored Products and Sponsored Brands.
  • Build and maintain financial models and reports using Cognos and other financial systems.
  • Conduct complex variance analysis against prior guidance, plan, and prior year results.
  • Partner with Central FP&A, Advertising product teams, and business stakeholders to support planning cycles.
  • Actively leverage and advance AI integration and automation using Amazon's AI tools.

Conocimientos

Variance analysis
Financial modeling
Forecasting
Cross-functional partnership

Educación

Bachelor's degree in business/finance
MBA
CPA

Herramientas

Tableau
SQL
Cognos
Oracle
SAP

Descripción del empleo

Amazon.com Services LLC is seeking a Sr. Financial Analyst to own forecasting and financial controllership for the Sponsored Products and Brands businesses. You will partner with product, finance, and business teams to drive insights and influence decisions at the highest levels.

This role emphasizes advanced financial modeling, variance analysis, and cross-functional collaboration across FP&A. You will explore AI-enabled automation to improve processes while handling ambiguity and tight

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