Senior Financial Analyst, AWS Capacity Finance
Amazon is hiring a Senior Financial Analyst, AWS Capacity 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
- On Level's scale, this finance role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Excel, financial modeling and forecasting among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead capital expenditure planning, financial modeling, and capacity forecasting for AWS EC2 and EBS capacity initiatives.
Key job responsibilities
- Build and maintain complex financial models and analytical tools to measure capacity utilization, usage trends, and overall financial performance.
- Produce and deliver weekly forecast reports and executive-ready presentations, investigating data anomalies and communicating insights to leadership.
- Own and drive projects during planning and forecasting cycles, including cross-functional coordination with engineering and operations teams.
- Develop, improve, and automate financial reports and data pipelines to increase accuracy and reduce manual effort.
- Participate in continuous capital analysis and capacity optimization initiatives.
- Own and deliver ad-hoc business support projects and analytical deep-dives as needed.
A day in the life
Your typical day involves diving deep into complex datasets to uncover insights about AWS capacity resource usage. You'll collaborate with business leaders to identify efficiency opportunities, analyzing trends and developing recommendations to optimize resource allocation. You'll participate in cross-functional meetings to present your findings, work on building or enhancing financial models, and partner with stakeholders to implement solutions that drive immediate business impact.
About the team
We are a dedicated team of finance analysts who believe in being greater than the sum of our parts. Our mission is to change the trajectory of AWS by identifying opportunities to optimize internal usage of precious capacity resources. We focus on making broad, immediate impacts on the business through data-driven insights and recommendations. We value collaboration, intellectual curiosity, and the ability to transform complex data into actionable business strategies that drive meaningful results.
Basic qualifications
- 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
- 3+ years of tax, finance or a 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
- 6+ years of tax, finance or a related analytical field experience
- 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- 4+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
- 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 developing financial models in Excel with advanced functions (pivot tables, macros, VBA, Power Query)
- Experience in forecasting, budgeting, variance analysis, and interpreting financial results
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 Capacity Finance at Amazon rates 0 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in finance jobs at this level
Pay
- This job starts at
- $83k
- Typical finance job
- $105k
This posting starts 21% below the typical finance job. See finance jobs
Questions you could be asked
- Tell me about a project where financial modeling was part of your work. What did you do?
- Tell me about a project where forecasting was part of your work. What did you do?
- Tell me about a project where variance analysis was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Walk me through how you've used Excel in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Financial Modeling, Forecasting, Variance Analysis, Data Analysis, and Excel. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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