Finance Manager, Finance Transformation and Analytics - North America Customer Fullfillment

Finance is all about the numbers... unless you work in NACF Finance; here it is knowing the numbers and so much more. Amazon operates the most complex retail fulfillment network in the world, delivering billions of packages to hundreds of millions of homes and businesses every year. North American Customer Fulfillment (NACF) Finance provides the cost controllership, return-on-investment analysis, and financial insight that keep the economics of that network healthy.

Come be part of this organization and join a dedicated team committed to operational and financial excellence, where you focus on the inputs, think like an owner, and treat every day as Day One.

This is a perfect role for a finance leader with highly advanced data skills, or a data leader 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 lead through ambiguity, you dive deep to find the root cause, and you are comfortable when your ideas and mechanisms are tested daily.

You will be a senior member of a Hub-and-Spoke analytics team whose mission is to own the outcome of the NACF finance analytics function.

Key job responsibilities

Business Finance Support
- Use solid financial knowledge and business acumen to build financial models and analyses with little guidance, draw conclusions, and make recommendations that deliver results and drive improvements.

- Serve as an expert in both Finance and Data, bridging the gap between finance and data teams and building deep understanding of the cost-of-fulfillment drivers across the NACF network along with the related finance, accounting, and controllership systems and data.

- Partner with Finance and Operations leaders to develop, execute, and continuously innovate weekly and monthly financial reviews, forecasting, and reporting models, and communicate the results clearly.

Controllership
- Own the efficiency of financial reporting for a business area, identify and solve complex data-integrity issues with stakeholders, and insist on the highest standards.

- Identify the need for improved controls to address risk driven by business, industry, policy, and regulatory change, and proactively propose control solutions.

- Develop and execute data-analysis processes that are scalable and auditable.

Business Analysis
- Identify and implement opportunities to resolve finance issues and to improve, scale, automate, or simplify finance tools, technology, and processes across teams and organizations.

- Understand how data flows through our financial platforms, know the right data to use for analysis, and establish a source of truth.

- Apply AI to raise team productivity and 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.

- Write systems queries and perform data mining and analysis using Excel, SQL (required), and Python; find creative solutions using large-scale data-mining tools.

- Solve complex problems that affect company-wide strategic decision-making, lead through ambiguity, and identify high-priority work to maximize results for key stakeholders.

- Simplify and centralize process improvement and reporting so business partners and customers can take action quickly, and enable stakeholders to self-service their data needs.

People
- Take part in hiring and developing activities and mentor new team members.

- Seek, value, and leverage diverse perspectives.

- Challenge business-partner plans and assumptions when needed.

- Communicate data clearly, concisely, and unambiguously, verbally and in writing, and articulate complex…