Senior Financial Analyst, AWS Database Services Finance
Amazon · Seattle, Washington, USA ·
- Seniority
- Senior
- Category
- Finance
AWS is seeking a Senior Financial Analyst to join the Database Finance team supporting our database services portfolio, including DynamoDB, ElastiCache, DocumentDB, Neptune, Keyspaces, MemoryDB, and Timestream. This role owns go-to-market (GTM) and sales pipeline analytics, partnering with Sales, Business Development, and Product teams to translate pipeline signal into revenue insight. You will build the analytical foundation that connects customer demand, deal economics, and long-range revenue forecasting for one of the fastest-growing segments in AWS.
Key job responsibilities
- Own the analysis of the database services sales pipeline across stages, segments, and regions. Quantify pipeline coverage, conversion rates, deal velocity, and win/loss trends, and translate those movements into revenue implications.
- Build and maintain revenue forecasts that incorporate pipeline signal, in-year actuals, and committed weekly growth rates.
- Deliver recurring reporting for weekly business reviews and monthly financial reviews, with clear narrative on pipeline health and revenue trajectory.
- Query large revenue and usage datasets to build repeatable, self-service analytics. Improve the accuracy and cadence of pipeline reporting by automating manual processes and strengthening data controls.
Key job responsibilities
- Own the analysis of the database services sales pipeline across stages, segments, and regions. Quantify pipeline coverage, conversion rates, deal velocity, and win/loss trends, and translate those movements into revenue implications.
- Build and maintain revenue forecasts that incorporate pipeline signal, in-year actuals, and committed weekly growth rates.
- Deliver recurring reporting for weekly business reviews and monthly financial reviews, with clear narrative on pipeline health and revenue trajectory.
- Query large revenue and usage datasets to build repeatable, self-service analytics. Improve the accuracy and cadence of pipeline reporting by automating manual processes and strengthening data controls.