Drimva

Amazon

Senior Financial Analyst, Shopping Finance

$83K–$117K

Seattle, WA · Senior · Full-time · Posted Oct 20, 2026

Experience
3+ years in finance, accounting, or a related analytical field; 3+ years contributing to cross-functional initiatives that drive financial performance and strategy; 3+ years dissecting financial data and identifying patterns that support business strategy.
Education
Bachelor's degree in business, finance, accounting, tax, economics, or a related analytical field.

About the job

Owns Alexa for Shopping operating expense finance, building analyses and models, reporting performance, and partnering with business and technology teams to improve costs and processes.

What you'll do

  • Build financial models and analyze data to inform business decisions; report financial and operational metrics and trends against plan.
  • Manage operating expenses, including headcount and AI token costs, and perform month-end close and recurring or ad hoc expense reporting.
  • Partner with business and technology teams on planning, cost reduction, system efficiencies, and process improvement.

What they ask for

  • 3+ years of finance, accounting, or related analytical field experience.
  • Bachelor's degree in business, finance, accounting, tax, economics, or a related analytical field.
  • 3+ years of experience contributing to cross-functional initiatives that drive financial performance and strategy.
  • 3+ years of experience dissecting financial data and identifying patterns that support business strategy.

Nice to have

  • 3+ years of experience participating in continuous improvement projects to scale and improve controllership with measurable results.
  • MBA, or CPA; knowledge of Tableau; experience with large-scale data mining and reporting tools or financial systems.

Pay

82,700.00 - 117,100.00 USD annually (base salary)

Tools

Tableau, SQL, MS Access, Essbase, Cognos, Oracle, SAP, Lawson

AI focus

Quantifies AI token costs for conversational AI products and partners with technology teams to reduce costs and improve system efficiencies.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 6, 2026 (UTC)