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Sr. Financial Analyst, Amazon Business Finance

Amazon
Arlington, USA
Full-time
Mid-Senior
Onsite
Discovered 3 weeks ago
Financial forecastingVariance analysisFinancial reportingFinancial modelingHeadcount and OpEx planningInvestment analysis

Full Job Posting

Organization

Amazon Business serves business customers globally and is growing its B2B commerce platform.

The finance role supports the global Amazon Business Product & Technology organization across engineering, product, UX/design, and technical program management.

Role overview

Senior Financial Analyst serves as finance business partner to senior technology leadership.

Owns headcount and operating expense planning, investment analysis, and financial reporting.

The role develops scalable models and supports resource allocation across a growing technology organization.

Key responsibilities

  • Own global headcount and OpEx forecasting, variance analysis, and reporting.
  • Model technology investment tradeoffs, headcount scenarios, and resource allocation.
  • Translate strategic priorities into financial plans supporting hiring, contractor spend, and program funding.
  • Present monthly and quarterly business reviews on costs, forecast risks, and opportunities to VP-level audiences.
  • Improve planning processes and tracking of technology costs, workforce productivity, and engineering ROI.
  • Deliver accurate models, insights, recommendations, and data-driven presentations to influence decisions.

Basic qualifications

  • 3+ years contributing to cross-functional initiatives driving financial performance and strategy.
  • 4+ years creating process improvements with automation and analysis.
  • 3+ years in tax, finance, or a related analytical field.
  • 3+ years analyzing financial data and identifying patterns supporting business strategy.
  • Bachelor's degree in finance, accounting, or a related field.

Preferred qualifications

  • 4+ years participating in team continuous-improvement projects that scale and improve controllership with measurable results.
  • Experience with large-scale data mining/reporting tools such as SQL, MS Access, Essbase, or Cognos and financial systems such as Oracle, SAP, Lawson, or JD Edwards.

Compensation

  • The posting says a base salary range is listed below, but the provided description ends before the range and does not specify compensation cadence.

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