採用
Compensation
$60,200 - $60,200
Benefits & Perks
•Work Life balance
•401(k) matching
•Salary and bonus
•Development budget
•Flexible work
•Health benefits
•Healthcare
Required Skills
Adaptive Insights
NetSuite
Oracle
Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. On the AWS Networking Services 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 build 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.
AWS Finance seeks a Senior Financial Analyst to support AWS, and more specifically its AWS Networking Services business. This position will work closely with senior finance management and key business partners to drive financial planning, decision support, controllership, and private deal modeling for several AWS Networking Services including Direct Connect and Transit Gateway services.
Key job responsibilities
- Financial Modeling & Analysis
- Build out and enhance P&L models for new and existing services
- Build and enhance financial models for pricing decisions and revenue forecasting
- Work on deal desk modeling private custom deals for key customers
- Planning & Reporting
- Drive the financial planning / budgeting process
- Create, maintain, and improve management reporting
- Develop business insights and dashboards
- Compile and review financial results and operational plans
- Leadership & Communication
- Communicate results to company leaders
- Partner with business and finance teams for Monthly/Quarterly Business Reviews and forecasts
- Work with product, capacity, and operations teams on opportunities and constraints
A day in the life
You will partner with business and finance teams to create and improve economic models to support MBRs, QBRs, and forecasts for the AWS Networking Services. You will also work with account teams on private deal modeling and pricing. You will gather insights and make recommendations to your finance and business partners based on revenue and profitability metrics. You will also partner with product, capacity, and operations teams to understand key capacity opportunities and constraints.
About the team
AWS Networking Services has the feel of a start-up, but with the resources of one of the world’s largest and most successful companies. It is a dynamic and fast-growing set of products, which makes this an exciting place to be. It is a data driven organization, and Finance is at the center of decision making. The team is helpful, supportive, fun, and committed to helping each member grow, develop, and achieve their career objectives.
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)
Preferred Qualifications
- 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)
- 5+ years of applying key financial performance indicators (KPIs) to analyses experience
- Knowledge of Microsoft Excel (macros, pivots, lookups) at an advanced level
- Advanced written and oral English communication skills.
- Ability to effectively manage stakeholders in a high-pressure environment.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $60,200/year in our lowest geographic market up to $128,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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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
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
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
L2
L3
L4
L5
L6
L2 · Venture Capitalist L2
0 reports
$154,235
total / year
Base
$61,694
Stock
$77,118
Bonus
$15,424
$107,965
$200,506
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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