招聘

Senior Financial Analyst, AWS Data Center Planning & Delivery
Seattle, WA, USA
·
On-site
·
Full-time
·
2w ago
Amazon Web Services (AWS) seeks a Senior Financial Analyst to lead headcount and opex workstreams for planning and reporting. This high-visibility role offers the opportunity to directly influence the financial strategy for AWS's global data center expansion. This role will partner with senior leadership to drive month end close and planning activities, support labor planning and deployment, and leverage financial analysis to make strategic decisions.
- Key job responsibilities
- Lead strategic financial planning and analysis for complex business initiatives
- Develop and implement financial strategies that support long-term business growth
- Build and manage relationships with senior business partners
- Provide financial oversight and guidance for major business decisions
- Drive process improvements and automation initiatives
- Establish and maintain robust financial controls and reporting mechanisms
About the team
Our Data Center Planning & Delivery team supports the development of new data centers for Amazon Web Services (AWS).
At AWS, you'll have the opportunity to work alongside exceptionally talented, bright, and driven individuals who believe that world-class financial partnership is critical to customer success. We thrive on diverse experiences and perspectives, and we're committed to inclusion as a business advantage and the right thing to do.
Basic Qualifications
- 3+ 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 3+ years of quantitative role (engineering, process re-engineering, quality assurance) experience
Preferred Qualifications
- Experience working with stakeholders
- 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 financial modeling, P&L management or analysis
- 4+ years of applying key financial performance indicators (KPIs) to analyses experience
- 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
- Experience with Month End Close reporting
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 - 82,700.00 - 117,100.00 USD annually
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Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
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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
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L3
L4
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Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
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Negative 80%
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Application Review
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Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
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Onsite/Virtual Loop
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Team Matching
7
Offer
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Leadership Principles
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