Senior Financial Analyst, Rapid and Rural Logistics Finance
Amazon is hiring a Senior Financial Analyst, Rapid and Rural Logistics Finance in Arlington, United States. It pays $74k-$129k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this finance role Little AI ●○○○: aI is not part of the work.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted within the past week.
AI in this role
This is not a traditional FP&A. You will translate business and financial intent into system-level requirements, working directly with allocation model owners and engineering teams to close methodology gaps and validate that outputs reflect economic reality. You'll need deep cost accounting intuition combined with the ability to navigate ambiguity in a matrixed organization where no established playbook exists.
What Makes This Role Exciting
- You'll define how every cost line in the P&L is measured for programs standing up dedicated financial infrastructure for the first time
- You'll work at the intersection of finance and engineering, translating allocation methodology into technical requirements that change how Amazon's systems process costs
- You'll enable entirely new capabilities — system native speed-tier cost differentiation, ASIN-level unit economics, and the precise cost foundation that drives confident investment and expansion decisions
Key job responsibilities
• Design the financial logic and rules that determine how costs should be attributed to programs — including decisions like whether storage costs should follow cube footprint or throughput intensity, how commingled delivery routes should split across programs, and how temperature-zone cost differentials should be reflected
• Translate financial methodology into system-level technical requirements that engineering and model-owner teams can implement — serving as the bridge between “how finance needs it to work” and “how the system is built to do it”
• Own the accuracy of upstream financial data that feeds every downstream system — including product hierarchy classification, GL-to-program mappings, cost center assignments — establishing monitoring and governance mechanisms so data quality doesn't silently degrade as programs scale
• Validate automated cost outputs against legacy processes and known benchmarks during transition, and establish ongoing accuracy monitoring to ensure cost attribution remains correct as volume mixes shift and fulfillment models evolve
• Lead cross-functional working sessions with model owners, Controllership, Transportation Finance, Accounting, and Engineering teams
• Develop repeatable frameworks and documentation that can be leveraged across different organizations
About the team
The Finance Foundation & Enablement (F2E) team is a program-building team within the Rapid and Rural Logistics Finance organization.
We build and evolve the financial systems foundation that enables these programs to measure, understand, and optimize their economics — from automated cost allocation at the ASIN level to enabling the reporting dimensions, analytical tools, and planning capabilities the organization needs to make faster, more reliable decisions.
Our vision is to be the blueprint for how any new Amazon program — regardless of geography or fulfillment model — stands up its financial infrastructure from day one. We design solutions that are scalable worldwide; our frameworks, methodologies, and playbooks make financial system integration a solved problem.
Basic qualifications
- Bachelor's degree in business, finance, accounting, tax, economics, or a related analytical field
- 3+ years of finance, accounting, or related analytical field experience
Preferred qualifications
- 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- MBA, or CPA
- Knowledge of of financial reporting tools (Cognos, Redshift)
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 73,600.00 - 128,800.00 USD annually
USA, VA, Arlington - 66,900.00 - 117,100.00 USD annually
USA, WA, Bellevue - 82,700.00 - 117,100.00 USD annually
How we rate this
Senior Financial Analyst, Rapid and Rural Logistics Finance at Amazon rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Pay
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