채용
Transform the financial landscape of Prime Video by leveraging your strategic insights and analytical expertise. In this pivotal role, you'll drive critical business decisions through innovative financial modeling, data-driven analysis, and collaborative problem-solving that directly impacts our global entertainment platform.
Key job responsibilities
Design innovative financial solutions that streamline processes and automate recurring work
Develop comprehensive financial models that translate complex data into actionable business insights
Execute precise financial close processes using advanced analytical tools and techniques
Build strong cross-functional partnerships through clear, compelling communication of financial strategies
Adapt quickly to evolving business needs, providing nuanced financial guidance during dynamic scenarios
A day in the life
Your day will be a dynamic blend of strategic financial analysis, cross-functional collaboration, and impactful decision-making. You'll dive deep into complex financial datasets, craft compelling narratives from numbers, and partner closely with leadership to illuminate business opportunities and challenges.
About the team
We are a collaborative and forward-thinking finance team dedicated to supporting Prime Video's global mission. Our work goes beyond traditional financial reporting – we're strategic partners who help shape the future of entertainment technology and content delivery.
Basic Qualifications
- 5+ years of tax, finance or a related analytical field experience
- 6+ years of applying key financial performance indicators (KPIs) to analyses experience
- 6+ years of building financial and operational reports/data sets that inform business decision-making experience
- 6+ years of creating process improvements with automation and analysis experience
- 5+ years of dissecting financial data and identifying patterns that support business strategy experience
- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) 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 protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Culver City - 95,400.00 - 163,200.00 USD annually
USA, WA, SEATTLE - 95,400.00 - 163,200.00 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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