AmazonSenior Financial Analyst, Finance Transformation and Analytics - North America Customer Fullfillment
Amazon is hiring a Senior Financial Analyst, Finance Transformation and Analytics - North America Customer Fullfillment in Bellevue, United States. It pays $67k-$117k a year and Level rates it ; you can apply on Level.
AI in this role
Bridge finance and data teams by building scalable financial models, performing data mining, and applying AI to automate workflows.
This is a perfect role for a finance expert with highly advanced data skills, or a data expert with strong ability and genuine interest in finance. You know how to turn large, messy datasets into advanced analysis, automation, and metrics that move the business. You view problems as treasures, you dive deep to find the root cause, and you are comfortable when your ideas and mechanisms are tested daily. You will sit at the center of a Hub-and-Spoke analytics team whose mission is to own the outcome of the NACF finance analytics function, not simply to produce more dashboards.
Key job responsibilities
1. Serve as an expert in both Finance and Data, bridging the gap between finance and data teams. Build deep understanding of the key cost-of-fulfillment drivers across the NACF network along with the related finance, accounting, and controllership systems and data.
2. Use solid financial knowledge and business acumen to build financial models and analyze complex business problems with limited guidance.
3. Own the efficiency of financial reporting for a business area, identify and resolve complex data-integrity issues with stakeholders, and build data-analysis processes that are scalable and auditable.
4. Collect, analyze, and manage quantitative data and create meaningful metrics and tools that drive cost reduction and process improvement.
5. Write systems queries to gather finance data and perform data mining and analysis using Excel, SQL (required), and Python.
6. Lead root-cause analysis that uncovers core issues in the data, then partner with Operations to improve their competitive position and profitability.
7. Enable finance stakeholders to navigate data-driven solutions and datasets so they can confidently self-service their needs.
8. Apply AI to raise your own productivity and to automate financial workflows: use large language models and agentic development tools (for example AWS Kiro, Claude Code, and similar) to build analyses, tooling, and automation faster than traditional methods allow.
9. Identify, lead, and execute opportunities to improve, automate, standardize, or simplify finance tools and processes across teams and organizations.
10. Work with data-source providers and tech teams to ensure key decision data is accurate, automated, and timely.
11. Communicate data clearly and concisely, in writing and verbally, adjusting your style to the audience to make complex finance issues understandable. Draw conclusions, make recommendations, and challenge partner assumptions when necessary.
A day in the life
No two days in NACF Finance look alike. You will work in a fast-paced, high-energy, and ever-changing environment alongside Operations, Product, Tech, and Procurement partners. One day you may be building a cost model for a network initiative, the next automating a reporting process with an AI-assisted toolchain, the next root-causing a data defect that is distorting a leadership metric. You move with purpose and speed, think like an owner, and treat every day as Day One.
About the team
NACF Finance Transformation & Analytics is a centralized, Hub-and-Spoke analytics team that supports the full North American Customer Fulfillment network. The team is the front door for finance analytics: rationalizing the reporting landscape into one source of truth, delivering advanced analytics and deep-dive root-causing, and building AI-first automation that lets finance spend less time assembling data and more time answering the hard questions. You will partner with Senior Leaders across Finance, Operations, Supply Chain, Engineering, Procurement, Accounting, and Technology as a trusted financial advocate and business partner.
Basic qualifications
- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience
- 3+ years of tax, finance or a related analytical field experience
- 4+ years of applying key financial performance indicators (KPIs) to analyses experience
- 4+ years of creating process improvements with automation and analysis experience
- 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
- 3+ years of dissecting financial data and identifying patterns that support business strategy experience
- 3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
- Experience with advanced use of SQL for data mining and business intelligence
Preferred qualifications
- Master's degree (MBA or related discipline), or CPA
- 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- 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)
- Experience using AI-assisted development tools in academic or professional settings
- Experience with analytical tools and ability to dive deep into metrics and reporting
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, TX, Irving - 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, Finance Transformation and Analytics - North America Customer Fullfillment at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where financial modeling was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where cost controllership was part of your work. What did you do?
- Tell me about a project where process automation was part of your work. What did you do?
- Walk me through how you've used Claude in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Financial Modeling, Data Analysis, Cost Controllership, Process Automation, and Claude. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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