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Finance Manager, AWS Sales, WWSO Finance

Amazon

Finance Manager, AWS Sales, WWSO Finance

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$95,400 - $163,200

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Financial analysis

Data analysis

Financial modeling

Join the Amazon Web Services (AWS) Finance team! We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the IT industry. If you want to join a fast-paced, innovative team responsible for driving the financial performance of a diverse business portfolio, this is the place for you!

In this role, you’ll be at the center of driving AWS’s sales strategy, partnering across Worldwide Specialist Data & AI teams to deliver business insights, optimize investments, and drive revenue. You’ll collaborate with senior Sales, Business, Engineering, and Finance leaders on designing and implementing inspection frameworks to assess business performance and financial outcomes. You’ll build new mechanisms to ensure accuracy and integrity of financial data, and you’ll providing financial insights that drive our day-to-day business and position us for future growth.
You are a well-rounded performer and will play an impactful role on the team. You demonstrate excellent business judgment and problem solving, and possess strong attention to detail.

  • Key job responsibilities
  • Building rhythm of the business processes that help business leaders understand progress to goals as well as strategic insights to guide overall direction
  • Leading the financial support for existing Data & AI Business reviews (WBR, MBR etc.), providing key insights on progress toward goals, working with teams on get-to-green plans, and assessing future risks.
  • Create and implement business mechanisms that are scalable to help the team make data-driven decisions
  • Driving thought leadership to identify and implement solutions to resolve, improve, automate, standardize, or simplify finance processes
  • Collecting analyzing, and presenting data-driven research that challenges status quo and champion change
  • Performing ad-hoc analysis proactively and present findings to senior leadership

Basic Qualifications

  • 5+ 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 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
  • 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
  • Experience with SQL or ETL
  • 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 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 - 95,400.00 - 163,200.00 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