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Senior Finance Analyst, EMEA Data Center Finance

Amazon

Senior Finance Analyst, EMEA Data Center Finance

Amazon

Dublin, D, IRL

·

On-site

·

Full-time

·

6d ago

Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! 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. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services – now widely known as cloud computing – based on Amazon’s own back-end technology platform.

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. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously and you should too!

We provide end-to-end financial support driving AWS to be the low cost provider in Cloud computing and leader in customer experience. This includes supporting business owners in building, operating and innovating our Cloud datacenters. We support operations, business development, and engineering. You should be passionate about producing financial analysis enabling management to make breakthrough decisions, drive cash flow, and ultimately delight our customers.

  • Key job responsibilities
  • Partner with the AWS Data Center Supply Solutions (DCSS) Business Development and Real Estate teams to provide strategic guidance on investments alternatives and deal negotiations for regional expansions
  • Perform discounted cash flow and P&L financial modeling, often under tight deadlines and lead executive-level discussions. Ensure internal stakeholders (e.g. Real estate, New and Existing Region Portfolio Management, Product teams, Networking, Data Center Engineering, Accounting, Legal, Tax, etc.) are aligned with recommendations
  • Help prepare and deliver business reviews to the senior management team regarding progress and roadblocks to closing new deals
  • Provide controllership and oversight of business case data integrity and approvals
  • Understand infrastructure market segments, customer base, and industry verticals and technology trends. Help set business development plans for target markets and ensure execution is aligned with approved expansion strategies
  • Develop business and technology acumen in order to understand and account for technology transitions and business evolution in financial models
  • Identify and lead projects to drive automation and process improvement.

Basic Qualifications

  • Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance)
  • Six Sigma Black Belt
  • Experience in tax, finance or a related analytical field
  • Experience in accounts receivable or account payable
  • Experience applying key financial performance indicators (KPIs) to analyses
  • Experience in creating process improvements with automation and analysis
  • Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
  • Experience with advanced use of SQL for data mining and business intelligence
  • Experience as a lean sensei, or experience working as a Quality Assurance Engineer

Preferred Qualifications

  • MBA, or CPA
  • Knowledge of Tableau
  • Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results
  • 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 opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.

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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