Sr Financial Analyst, AWS Marketing Finance

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$83K-$117K not verified - source not recorded; timestamp not recorded

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$57,704 U.S. median for this role

Projected growth (BLS Employment Projections)

+0.9% - Slower

73% above the BLS role benchmark for sales aggregate.

Matched to SOC 41-2031 - Sales aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Sr Financial Analyst, AWS Marketing Finance Seattle, Washington, USA Amazon Web Services (AWS) Marketing Finance seeks a Senior Financial Analyst to serve as a finance partner to senior marketing leaders across one of AWS's largest and fastest-growing investment areas. You will sit at the table with Directors and VPs, advising on marketing investment decisions across digital demand generation, events, sports marketing, and product marketing. You will own the financial narrative for your business partners: translating complex spend data into clear recommendations, challenging assumptions, and driving action that improves how AWS allocates its marketing dollars. Key job responsibilities Partner directly with senior marketing leaders (Director/VP level) as their trusted finance advisor, providing data and analysis driven recommendations on investment decisions across your portfolio. Own monthly financial close, variance analysis, and quarterly forecasting for your business area. Proactively surface risks, opportunities, and recommendations. Understand and partner with accounting & FP&A to drive an effective month-end close process. Build and maintain financial models that drive investment decisions: scenario planning, and ROI-informed budget allocation. Translate financial data into the "so what" - present findings to senior stakeholders in language they can act on. Build systems and automations that reduce administrative overhead and increase the speed of financial decision-making across the team. Leverage SQL, Python, and AI tools to work with data at scale - speed and rigor matter equally. Manage approvals, purchase orders, and budget controllership with accuracy and ownership. A day in the life Excel maybe your starting point, but your goal is

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