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职位Amazon

Senior Finance Analyst, Data Centre Finance - EMEA

Amazon

Senior Finance Analyst, Data Centre Finance - EMEA

Amazon

Dublin, D, IRL

·

On-site

·

Full-time

·

1mo ago

必备技能

AWS

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.

We are growing rapidly in existing regions as well as expanding into new regions.

At Amazon, we believe that in-person collaboration is essential to our culture and innovation. While we allow flexibility for personal circumstances, we generally expect employees to work from our offices five days a week. This approach has consistently shown that spontaneous interactions, rapid problem-solving, and the energy of in-person teamwork lead to better results for our customers. In particular, our data shows that teams working together in person are more effective at making complex decisions, onboarding new team members, and fostering the kind of creative collaboration that has driven Amazon's success. The serendipitous hallway conversations and impromptu whiteboarding sessions that happen naturally in an office environment have proven invaluable to our invention process and maintaining our high bar for excellence.

  • Key job responsibilities
  • Serve as a key business partner working directly with regional AWS management and other internal stakeholders to provide financial recommendations
  • Report weekly and monthly financial and operating metrics
  • Manage the financial planning process. Model, analyze and forecast metrics that drive budgeting, forecasting and business decisions
  • Be an integral member in the monthly financial close process and perform ad-hoc projects and analysis as needed
  • Analyze business results for key takeaways to achieve business objectives
  • Monitor compliance with controls and systems, and developing new processes to support the fast-growing, global AWS business
  • Preparing detailed financial models for business segments, drive business initiatives, and identify, implement, and deliver key operational efficiencies

Basic Qualifications

  • Bachelor's degree in accounting, information systems, finance, or equivalent
  • Experience applying key financial performance indicators (KPIs) to analyses
  • Experience in financial modeling, P&L management or analysis
  • 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
  • Demonstrated experience in Finance Business partnering and/or FP&A

Preferred Qualifications

  • MBA, or CPA
  • Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results
  • Experience with advanced use of SQL for data mining and business intelligence

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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关于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+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge