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Sr Financial Analyst, AWS GTM and Migrations Finance

Amazon

Sr Financial Analyst, AWS GTM and Migrations Finance

Amazon

New York, NY, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$73,600 - $128,800

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

SQL

Excel

Financial Analysis

Data 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 optimizing 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 directly with the AWS Specialists and Partners organization to manage, optimize, transform a $1B+ investment portfolio. You’ll collaborate with Sales, Business Development, Ops, Engineering, and Finance leaders to build financial plans, analyze large-scale investment opportunities, build mechanisms for goal setting and leadership reporting packages, and identify opportunities for business growth. You will play key roles in both running the day-to-day business and helping drive strategic growth for the future.

You are a well-rounded performer and will play an impactful role on the team. You demonstrate excellent business judgment and problem solving in rapidly evolving environments, and possess strong attention to detail. This role requires a self-starter comfortable taking the initiative, strong data modeling skills, advanced Excel and SQL abilities, strong project management, and an ability to work in a fast-paced environment with ambiguous situations.

  • Key job responsibilities
  • Serve as a key finance partner to Partner Core Programs team, collaborating to analyze GTM investment programs and initiatives, assess business performance, optimize our customer and partner experiences, achieve common goals, and monitor risks.
  • Develop and evolve complex financial models that analyze program- and portfolio-level revenue, profit, and ROI impacts to help maximize investment effectiveness.
  • Build rhythm of the business processes that help business leaders understand progress to goals and deliver ongoing insights and KPIs to guide overall business direction.
  • Collect, analyze and manage quantitative data to create meaningful analyses and models that drive business decisions.
  • Dive deep on material results and trends to understand the business drivers behind the numbers.
  • Work with finance technology partners to automate and simplify processes.

Basic Qualifications

  • 3+ years of tax, finance or a related analytical field experience
  • Experience with advanced use of SQL for data mining and business intelligence
  • Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)

Preferred Qualifications

  • 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
  • MBA, or CFA
  • 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)
  • 4+ years of applying key financial performance indicators (KPIs) to analyses experience
  • 4+ years of creating process improvements with automation and analysis experience
  • 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
  • Experience in financial modeling, P&L management or analysis

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, NY, New York - 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