Do you want to shape how Amazon thinks about the profitability of one of its most strategically important fulfillment networks? Amazon's US Non-Sort Finance team is looking for a Financial Analyst II to own contribution profit reporting for a multi-billion dollar supply chain operation that handles large-format and high-value products. Your work will directly inform VP-level decisions that affect hundreds of millions in operating costs.
This role goes beyond standard finance work. You will build and maintain complex financial models, write SQL to pull and validate data from systems like Redshift and the Ops Finance Data Lake, and translate technical analysis into operational recommendations for senior leaders. You will also be part of a team actively building AI-assisted workflows into core finance processes—a rare opportunity to work at the frontier of how Finance teams operate while maintaining rigorous analytical standards. If you thrive in a high-accountability environment where your analysis drives real business impact, this is your opportunity.
Key job responsibilities
- Own end-to-end contribution profit reporting across Retail and Fulfilled by Amazon (FBA) channels for the US Non-Sort network, ensuring accuracy through proactive auditing and data reconciliation
- Build and maintain dynamic financial models to support profitability initiatives, scenario analysis, and operational planning cycles, translating complex data into defensible narratives for Director and VP-level audiences
- Write SQL queries independently to extract, validate, and reconcile data from Redshift, DataCentral Workbench, and the Ops Finance Data Lake, identifying discrepancies and root causes before they reach leadership
- Partner with Operations teams to investigate cost variances, understand volume shifts, and translate financial insights into actionable recommendations that improve network profitability
- Lead continuous improvement projects to automate reporting processes and build scalable mechanisms that enhance controllership, participating in the development of AI-assisted finance workflows
A day in the life
You might start by pulling a data cut from Redshift to investigate a cost variance flagged in the prior week's review, reconcile the numbers, identify the driver, and draft a narrative for leadership. Mid-morning could be a standing sync with your manager to walk through close status or discuss an open item from the monthly business review cycle. In the afternoon, you might refine a profitability model or work with an Operations Product Manager to understand an unexpected volume shift in the data. During planning cycles, the pace intensifies with scenario analysis and leadership materials. Outside those cycles, recurring deliverables like variance reports and cost center updates anchor your time, with real white space to pursue strategic deep dives and initiative analyses that go beyond the monthly close.<