Senior Financial Analyst, AWS Data Center Finance

Amazon is hiring a Senior Financial Analyst, AWS Data Center Finance in Seattle, United States. It pays $83k-$117k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this finance role: aI is not part of the work.
Level classes it as a senior role.
Amazon has 21,000+ other open roles on Level.
Posted in the last few days.

AI in this role

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.

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 rapidly 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!

This role is on the AWS Infrastructure team. 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 data centers. 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.

This role will be directly involved in supporting the operations of our largest data center campuses ever built and enabling the expansion of ML/AI services.

Key job responsibilities
We are growing rapidly in existing regions as well as expanding into new regions. As a member of this team, you will work with regional AWS leadership to:

- Serve as the key business partner working directly with regional AWS management and other internal stakeholders to provide financial recommendations. You must have the ability to structure problems, perform analysis, and present to your business partners. Supporting business partners at Amazon requires the ability to dissent, while building trust with your business partners
- 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
- Prepare detailed financial models for business segments, drive business initiatives, and identify, implement, and deliver key operational efficiencies

Basic qualifications

- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
- 3+ years of finance, accounting, or related analytical field experience
- 3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
- 3+ years of dissecting financial data and identifying patterns that support business strategy experience

Preferred qualifications

- 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- MBA, or CPA
- Knowledge of Tableau
- 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 with advanced use of SQL for data mining and business intelligence
- 2+ years of applying key financial performance indicators (KPIs) to analyses experience
- 2+ years of creating process improvements with automation and analysis experience

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

How we rate this

Senior Financial Analyst, AWS Data Center Finance at Amazon rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.