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Finance Manager, Transportation Topology & Design Engineering, Capex Analytics & Planning Finance

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Amazon
Full Time position
Listed on 2026-01-13
Job specializations:
  • Finance & Banking
    Financial Consultant, Financial Manager, Corporate Finance, Financial Analyst
Job Description & How to Apply Below

Overview

Amazon Logistics (AMZL) is Amazon’s “Last Mile” delivery service, responsible for delivering packages (and smiles) to households/businesses across the planet. Our finance team closely partners to support this rapidly expanding business while building a portfolio of delivery stations, vans, and technology to deliver customers’ packages on time – often next day, sometimes faster. We augment our traditional “deliver by van” with other models including Amazon Flex (gig economy drivers), Amazon Lockers, and more – all designed to deliver smiles to our customers.

You will make history as you help build one of the largest carriers on the planet.

NA Operations Finance seeks a Finance Manager to join the CAP Finance team, partnering directly with our business partners that are driving Topology and Design Engineering initiatives. This role offers the ability to help lead and manage AMZL’s core investment — the expansion of our last mile delivery station footprint to support our growing delivery volume commitment. From here, you will have the opportunity to rotate to other functional areas or roles across Amazon’s portfolio of businesses.

Success in this role will require you to partner with and influence business and product owners and support thoughtful decision making as we rapidly evolve, invest and execute our delivery station expansion plan. You will own the long term financial model to support this initiative, articulating how our investments in new delivery capacity map to our growth in delivery volume. A typical day in this role provides an opportunity to lead, challenge, and innovate to help build scalable and robust solutions through data‑driven decision making.

Key

job responsibilities
  • Use solid financial knowledge and business acumen to build financial models, interpret data, draw conclusions, and make recommendations that deliver results, drive improvements, and influence leaders throughout Amazon. These decisions can have global impact.
  • Uses financial systems and advanced MS Excel functions to work with large data sets. Outputs plans, forecasts, budgets, and consolidations.
  • Creates effective business partnerships, manages competing priorities, and provides guidance based on data analysis during unexpected events.
  • Uses active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner. Adjusts style for various audiences to articulate complex finance issues clearly.
  • Collects and analyzes quantitative data to develop relevant reports that drive cost reductions.
  • Participates in hiring, developing, and mentoring peers and team members. Seeks and leverages diverse perspectives in all activities.
  • Identifies opportunities to resolve defects proactively. Improves, scales, or simplifies finance tools across teams and organizations.
  • Contributes to work life harmony by being a positive, collaborative, and effective influencer to new team members as an indicator of operations excellence.
Basic Qualifications
  • 5 years of tax, finance or a related analytical field experience.
  • BA or BS in Finance, Accounting, Business, Economics, or a highly analytical field (e.g., Engineering, Math, Computer Science) and 5 years of finance experience, or Master’s degree and 3 years of finance experience.
Preferred Qualifications
  • 6 years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience.
  • 6 years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience.
  • MBA, or CPA.
  • Knowledge of SQL/ETL.
  • 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 delivering forecasting, budgeting, and variance analysis, and data interpretation of results.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally…

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