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Senior Financial Analyst, DaS - Product Development Finance

Amazon

Senior Financial Analyst, DaS - Product Development Finance

Amazon

Sunnyvale, CA, USA

·

On-site

·

Full-time

·

2w ago

Required Skills

SQL

Customer Service

Leverage your financial expertise to drive strategic decision-making for Amazon's cutting-edge silicon development programs. This role focuses on developing financial models, managing forecasts, and providing data-driven insights that shape the next generation of innovative devices.

  • Key job responsibilities
  • Develop and implement sophisticated cost models that provide strategic financial intelligence
  • Manage financial planning and analysis, creating both near-term and long-term forecasts
  • Design scalable reporting mechanisms to enhance visibility into silicon program performance
  • Craft comprehensive financial and operational performance metrics for senior leadership
  • Drive financial rigor and strategic controllership across complex, high-value technical programs

A day in the life
Your workday will be a dynamic journey of financial analysis and strategic collaboration. You'll immerse yourself in intricate financial models, craft compelling narratives from complex data, and engage with cross-functional teams to unlock transformative business opportunities. Each day brings a unique blend of analytical deep-diving and collaborative problem-solving.

About the team
We are a passionate and innovative finance team at the heart of Amazon's Devices & Services organization. Our collaborative environment celebrates intellectual curiosity and strategic thinking. We're committed to pushing the boundaries of financial strategy, driving operational excellence, and supporting the development of technologies that impact millions of customers worldwide.

Basic Qualifications

  • 3+ years of tax, finance or a related analytical field experience
  • 3+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes 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 finance or a related analytical field experience

Preferred Qualifications

  • 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
  • MBA, or CPA
  • 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)

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, Sunnyvale - 73,600.00 - 128,800.00 USD annually

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About 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+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Venture Capitalist L2

0 reports

$154,235

total / year

Base

$61,694

Stock

$77,118

Bonus

$15,424

$107,965

$200,506

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge