招聘
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Paid Time Off
•Parental Leave
•Mental Health
•Healthcare
•401k
•Equity
•Parental Leave
•Mental Health
Required Skills
Financial analysis
Financial planning
Financial reporting
Process improvement
Amazon is a fast paced, dynamic, high-tech Company based in Seattle, with offices and employees around the globe. Amazon has a history and tradition of leading the world in Web-related technologies and services. Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud.
AWS has an immediate opening in Singapore for a Senior Financial Analyst to join our Data Center Finance team in Asia-Pacific. In this role you will work with regional AWS leadership to lead financial controllership of AWS Data Center Community and improve financial performance.
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 designing, building, operating and innovating our data centers. We support operations, business development, construction and carbon free energy. 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
- Serve as the key business partner working directly AWS senior management and other internal stakeholders to provide financial recommendations.
- Manage the financial planning and analysis effort and forecast various metrics for financial risks and opportunities.
- Report on the financial performance and lead in the preparation of monthly, quarterly and annual financial reviews.
- Ability to communicate data clearly and concisely, both verbally and in writing.
- Work across teams on cost savings projects, automation and improvement initiatives with finance, construction, IT and design.
- Develop ad hoc business analysis and present recommendations to AWS senior management.
- Monitor compliance with controls and systems and develop new processes to support the fast-growing, global AWS business.
A day in the life
This role will partner will multiple stakeholders including finance and business leadership to provide insight, analysis and financial leadership as we rapidly expand and evolve the AWS Data Center business. This role will provide extensive cross-functional opportunities to partner with teams. This role will create and sustain performance measurements and report on strategic input drivers to continuously improve the economics of the business.
About the team
The Asia-Pacific Data Center Finance team operates in a fast-paced environment where high judgment is essential to our success. We partner closely with business leaders to provide strategic financial guidance that shapes directly impacts AWS growth in the region. Team members are encouraged to think creatively, challenge assumptions, and develop innovative solutions to complex problems.
Our work directly impacts major business decisions, and we take pride in working collaboratively to translate financial insights into actionable strategies. We're looking for someone who shares our commitment and can thrive in an environment that values both analytical rigor and strategic thinking.
Basic Qualifications
- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
- 4+ years of finance or a related analytical field experience
- 4+ years of building financial and operational reports/data sets that inform business decision-making experience
- 4+ years of creating process improvements with automation and analysis experience
Preferred Qualifications
- 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 in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
- Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
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
PublicAmazon.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
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