채용
Are you a finance professional passionate about the application of AI to solve big problems? Are you looking for that next big Finance opportunity? Want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services (AWS) Applied AI Solutions Finance as AWS Finance Analyst!
Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. On the AWS Finance team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success.
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Key job responsibilities
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Supporting strategic financial decisions to drive long-term growth and profitability including contributing to PRFAQ analysis, assisting with pricing strategy development, and evaluating investments in new services and features
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Supporting P&L analysis for Healthcare and Life Sciences AI solutions, including partnering with Product, Engineering, and Sales to assess financial implications of initiatives to accelerate revenue growth, improve profitability, and improve free cash flow
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Analyzing private pricing deal structures to support top line growth while ensuring controllership and margin protection
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Contributing to projects that significantly impact the business including partnering with engineering teams to identify and implement infrastructure cost optimizations
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Supporting the OP1/OP2 and R&O planning processes including developing forecasts and clearly presenting business drivers and narratives to management
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Conducting deep-dive ad hoc analyses and generating insights in Weekly, Quarterly and Monthly Business Reviews to inform business decisions
A day in the life
You're supporting Healthcare and Life Sciences AI finance—products transforming patient care and drug development. The pace is fast, supporting multiple services and diverse teams simultaneously through rhythm of business, planning cycles, new product and service line investment decisions, and go-to-market strategies.
You pull data constantly—revenue, usage, costs, rates patterns. You build forecast models, run scenario analysis, investigate variances.
Weekly and monthly business rhythms mean creating visualizations and identifying performance drivers to help leaders make decisions to maximize profitability and drive long term sustainable growth. Special projects stretch you—your work influences which AI features get built and invested in.
About the team
The Applied AI Solutions Finance team in AWS seeks a Finance Analyst to support our Healthcare and Life Sciences AI solutions businesses. These teams are revolutionizing patient care and how new drugs are formulated and approved. This role offers direct business partnership and will work closely with key business partners, tech leaders, and finance management to support strategy and financial modeling for new solution offerings and contribute to pricing models for AI-native solutions. In addition, the Finance Analyst will support rhythm-of-the-business mechanisms, financial reporting and planning, cost optimization, decision support, and controllership.
Basic Qualifications
- 1+ years of finance experience
- Bachelor's degree in Finance, Accounting, Business, Economics or a highly analytical field (e.g., Engineering, Math, and Computer Science)
- Knowledge of standard software including Excel, Access, Oracle, Essbase, SQL and VBA skills
- Knowledge of finance, accounting or related field focused on analytics
- Experience in corporate finance including budgeting/planning, forecasting and reporting
Preferred Qualifications
- 3+ years of building financial and operational reports/data sets that inform business decision-making experience
- 3+ years of applying key financial performance indicators (KPIs) to analyses experience
- 2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
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 - 80,200.00 - 99,300.00 USD annually
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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Amazon 소개

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Venture Capitalist L2
0개 리포트
$154,235
총 연봉
기본급
$61,694
주식
$77,118
보너스
$15,424
$107,965
$200,506
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
뉴스 & 버즈
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