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职位Amazon

Senior Finance Analyst, Supply Chain & Network Capacity, Capex Analytics & Planning Finance

Amazon

Senior Finance Analyst, Supply Chain & Network Capacity, Capex Analytics & Planning Finance

Amazon

Bellevue, WA, USA

·

On-site

·

Full-time

·

3w ago

Amazon's Outbound Transportation Finance team is seeking a Senior Finance Analyst to support financial planning, analysis, and decision-making for one of the most complex cost structures in Amazon's supply chain. In this role, you will work closely with Finance Managers and business partners across transportation strategy, network design, and operations to build models, generate insights, and drive financial controllership across the outbound transportation network.

This is an excellent opportunity for a driven finance professional to develop deep expertise in supply chain economics, build cross-functional partnerships, and grow within one of Amazon's highest-impact finance organizations. From here, you will have the opportunity to rotate to other functional areas or roles across Amazon's portfolio of businesses.

  • Key job responsibilities
  • Build and maintain financial models to support planning, forecasting, and variance analysis for outbound transportation costs
  • Conduct financial analysis for last mile network to optimize cost-to-serve — including evaluating volume rebalancing across service areas and carriers, analyzing cost implications of alternative last mile delivery models (e.g., e-bikes, island deliveries), and assessing the economics of scaling capacity through asset-light models vs. owned infrastructure
  • Support business case development and investment analysis for transportation network initiatives, including capacity expansion and carrier strategy
  • Use financial systems and advanced MS Excel functions to work with large data sets; produce plans, forecasts, budgets, and consolidations across planning cycles
  • Collect and analyze quantitative data to develop relevant reports that surface cost drivers, risks, and opportunities for business partners
  • Communicate financial results and analysis (both written and verbal) in a clear, concise, and unambiguous manner; adjust style for various audiences
  • Create effective business partnerships and provide data-driven guidance to support decision-making during rapidly evolving business events
  • Identify opportunities to improve, scale, or simplify finance tools and reporting mechanisms across the team
  • Participate in team activities and contribute to a positive, collaborative work environment; support the onboarding and development of new team members

Basic Qualifications

  • 3+ years of tax, finance or a related analytical field experience
  • Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)

Preferred Qualifications

  • 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
  • 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
  • MBA, or CPA
  • Experience in financial modeling, P&L management or analysis
  • 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)
  • Knowledge of and experience applying Generative AI tools to accelerate financial analysis, automate reporting workflows, or enhance decision-making (e.g., using AI-assisted modeling, natural language querying of data, or AI-powered scenario analysis)

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, TX, Irving - 66,900.00 - 117,100.00 USD annually
USA, VA, Arlington - 66,900.00 - 117,100.00 USD annually
USA, WA, Bellevue - 82,700.00 - 117,100.00 USD annually

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

3.4

10条评价

工作生活平衡

2.3

薪酬

4.2

企业文化

3.1

职业发展

3.8

管理层

2.7

65%

推荐给朋友

优点

Great benefits and competitive compensation

Learning opportunities and career advancement

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and high turnover

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Venture Capitalist L2

0份报告

$154,235

年薪总额

基本工资

$61,694

股票

$77,118

奖金

$15,424

$107,965

$200,506

面试经验

6次面试

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge