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.

AMZL Finance seeks a Finance Manager to support our AMZL Engineering team. As a Financial Manager on the AMZL Finance team, you will be foundational to the team's success, as primary owner of financial modeling, decision support, productivity metrics, and financial / operational reporting.

This role will partner will multiple stakeholders within both finance and the business teams to evaluate and drive investment decisions in new equipment, building & RE designs, and process enhancements.

This role will provide extensive cross-functional opportunities to partner with teams including the Process Engineering, Design, Real Estate and Topology teams.

AMZL offers opportunities to grow your career as you engage on one of the many facets of this world-class delivery service.

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 requires you to partner with and influence business owners, support thoughtful decision-making, and adapt to an ever-changing environment.

You will collaborate with all types of stakeholders, from other finance analysts, to program / project managers, to executives, across multiple business units within Amazon.

You bring best-in-class business partnership while providing strong controllership. You are comfortable leading variance analysis deep dives, presenting to business owners during reviews, and can pivot between the defined financial rhythms and ad-hoc project analyses.

You use judgment to prioritize high-priority work and projects that maximize results for key stakeholders, while helping to solve complex problems that affect company-wide decisions.

A typical day in this role provides an opportunity to innovate by building scalable, robust, and dependable solutions through data-driven decision making.

Key job responsibilities

• Partner with Process Engineering & Design teams to develop robust, data-driven modelling and analytics that support new initiatives & investments.
• 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.

We are open to hiring candidates to work out of one of the following locations :

Bellevue, WA, USA Dallas, TX, USA New York, NY, USA

BASIC QUALIFICATIONS

• BA or BS in Finance, Accounting, Business, Economics, or a highly analytical field (e.g., Engineering, Math, Computer Science)
• 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

Last updated : 2024-04-27