Jobs

Financial Analyst, AWS Applied AI Solutions Core Services Finance
Seattle, WA, USA
·
On-site
·
Full-time
·
6d ago
Are you looking for that next big Finance opportunity, a business partnering role with full P&L responsibility? Join AWS Applied AI Solutions Core Services Finance team to help shape the financial foundation of technologies that put AI to work and revolutionize industries—an opportunity to create history through financial leadership that transforms business!
Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprises, governments and start-up businesses and organizations in over 190 countries around the world.
At Applied AI Solutions, we harness Amazon's operational expertise to become the trusted partner businesses count on every day, transforming how companies work through AI to elevate customer experiences, drive operational excellence, and accelerate success—creating a future where businesses thrive with technology they truly love and trust.
AWS Finance is seeking a Financial Analyst to partner with leadership in the AWS Applied AI Solutions Core Services portfolio. This role provides strategic financial leadership across established and emerging services, driving pricing strategy, revenue growth, cost optimization, and financial planning.
Key job responsibilities
- Strategic Financial Leadership
- Act as Finance Business Partner (Finance BP) with business leaders to co-create business strategies, develop financial models, and derive actionable insights.
- Contribute to the development and implementation of the long-range strategic plan, annual plan, and quarterly forecasts
- Leverage data-driven insights and analytics to influence executive decision-making to drive revenue growth and promote cost discipline
- Foster a culture of thought leadership within the team to drive the business towards long-term profitability objectives
- Pricing Strategy
- Design data-driven pricing strategies that optimize market competitiveness and profit margins
- Drive financials for Private Purchase Agreements, securing favorable terms and conditions
- Conduct comprehensive scenario analysis across pricing models to identify risk exposure and strategic opportunities
- Financial Planning and Analysis
- Contribute to FP&A activities, building models to measure financial performance
- Develop forecasts and present insights to senior leadership
- Support revenue modeling and cost savings initiatives
- Evaluate new business opportunities with financial analysis
- Controllership
- Deliver precise, insight-driven financial reports that enable informed executive decision-making
- Maintain rigorous financial controls and reporting standards to ensure data integrity and compliance
- Support process optimization to enhance analytical capabilities while preserving control frameworks
- Foster cross-functional collaboration to align diverse teams toward strategic objectives
About the team
AWS Applied AI Solutions Core Services Finance unites exceptional financial talent to drive the future of Agentic AI. As strategic partners to the Core Services organization, we enable their mission to become the trusted technology provider for Applied AI solutions.
Basic Qualifications
- 1+ years of finance experience
- Bachelor's degree in Finance, Accounting, Business, Economics or a highly analytical field (e.g., Engineering, Math, and Computer Science)
- Knowledge of standard software including Excel, Access, Oracle, Essbase, SQL and VBA skills
Preferred Qualifications
- 2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- Experience in TM1, Data Warehouse and SQL
- 2+ years of applying key financial performance indicators (KPIs) to analyses experience
- Experience using data to influence business decisions
- Experience in corporate finance including budgeting/planning, forecasting and 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 - 80,200.00 - 99,300.00 USD annually
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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
$1.5T
Valuation
Reviews
3.4
10 reviews
Work-life balance
2.3
Compensation
4.2
Culture
3.1
Career
3.8
Management
2.7
65%
Recommend to a friend
Pros
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
Cons
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
Salary Ranges
4 data points
L2
L3
L4
L5
L6
L2 · Venture Capitalist L2
0 reports
$154,235
total per year
Base
$61,694
Stock
$77,118
Bonus
$15,424
$107,965
$200,506
Interview experience
6 interviews
Difficulty
4.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 17%
Negative 83%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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