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Senior Financial Analyst, AWS Agentic AI

职能财务/会计
级别资深
地点Seattle, WA, United States
方式现场办公
类型全职
发布2个月前

薪酬

$82,700 - $117,100

立即申请

福利待遇

医疗保险

401k

股权

育儿假

心理健康支持

必备技能

Financial Analysis

Financial modeling

Strategic Planning

We're looking for a Senior Financial Analyst to join AWS Services Finance. The position will provide strategic financial leadership for AWS Service and support a fast-scaling organization that solve complex problems and drive customer value. You'll develop financial models and insights that guide investment decisions, optimize resource allocation, and accelerate the path from innovation to impact.
This role combines financial expertise with the opportunity to work on transformative technology. You'll collaborate with engineering, product, and business leaders to drive smarter decisions about pricing, feature optimization, and strategic investments. Your work will directly influence how Amazon builds and scales systems that will transform industries.

We're seeking someone with strong analytical capabilities, experience in financial modeling and strategic planning, and the ability to thrive in ambiguity. You should be energized by complex problem-solving, cross-functional influence, and working in an environment that combines startup velocity with Amazon's global scale.

  • Key job responsibilities
  • Influence strategic financial decisions including support for new initiatives, private pricing deal structures, and investment prioritization
  • Work cross functionally with internal teams to assess financial implications of new capabilities, features, and service launches
  • Lead deep-dive analyses to identify and quantify opportunities, risks, optimizations, and growth strategies
  • Develop financial models to evaluate trade-offs between different architectures, pricing strategies, and go-to-market approaches
  • Support controllership activities and planning cycles with focus on P&L management
  • Design and implement KPIs, dashboards, and reporting mechanisms that enable data-driven decision-making

A day in the life
You will partner with Agentic AI team to shape financial strategy and enable faster, more informed decision-making. Your day might include analyzing the unit economics of different AI Features, partnering with Product teams on explaining growth drivers, developing pricing frameworks for new agentic capabilities, or presenting financial insights in business reviews.
Because this is an emerging and rapidly evolving space, you'll help establish new financial mechanisms and frameworks. You'll have the opportunity to showcase your work with senior leaders and influence decisions that shape the future of Agentic AI.
This role is ideal for someone who enjoys continuous learning and thrives on solving novel problems.

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), or Bachelor's degree and 3+ years of quantitative role (engineering, process re-engineering, quality assurance) experience

Preferred Qualifications

  • 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 in financial modeling, P&L management or analysis, or experience working with stakeholders
  • Experience designing and implementing controls or experience performing audits over financial reporting environment, or experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
  • Process management skills
  • Experience performing financial and ad hoc analyses and providing data-driven recommendations to senior management

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, WA, Seattle - 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

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

L2

L6

L3

L4

L5

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

面试评价

6条评价

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