AmazonSenior Financial Analyst
Amazon is hiring a Senior Financial Analyst 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 SQL, financial modeling and fp a 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
Provide financial partnership, forecasting, and controllership for AWS Networking Finance, including generative AI investments.
You will work with diverse, collaborative, and driven people who believe financial partnership is critical to customer success. The growth of AWS and scope of Amazon’s business create opportunities to grow your career and broaden experience in any direction you choose. As a pioneer in cloud services, AWS lets you apply data, creativity, and analytical ability to completely new challenges and opportunities. This is a chance to work hard, have fun, and make history.
Everyone on the team is entrepreneurial, wears many hats, and works in a highly collaborative environment that’s more start-up than a big company. A successful candidate will be a self-starter who dives deep into data and support thoughtful decision-making, is able to build scalable processes, is detail oriented and has the ability to work well with cross-functional teams.
The candidate will be working closely with business finance teams and senior leadership across AWS Infrastructure and will be leading end to end processes around key planning and reporting cycles.
Key job responsibilities
- Facilitating financial review meetings with senior business and finance leadership to support decision making.
- Maintain, and improve, existing finance processes to ensure data integrity, efficient and insightful analysis.
- Play a critical role in cost management, controllership, business case development, decision-making, and metrics development.
- Uses solid financial knowledge and business acumen to build financial models, interpret data, draw conclusions, and make recommendations that deliver results, drive improvements, and influence leaders.
- Drives controllership around new initiatives such as Generative AI investments, automation projects and technology transition initiatives reporting.
Basic qualifications
- 3+ years of tax, finance or a related analytical field experience
- Bachelor's degree in finance, accounting or related field
- Experience with advanced use of SQL for data mining and business intelligence
- 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
- 2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- 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)
- 2+ years of applying key financial performance indicators (KPIs) to analyses experience
- 2+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes 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 at Amazon rates 10 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 fp a was part of your work. What did you do?
- Tell me about a project where cost management 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 SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Financial Modeling, Fp A, Cost Management, Data Analysis, and SQL. 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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