Jobs
Benefits & Perks
•Salary and bonus
•Work Life balance
•Stock options
•Health benefits
•Development budget
•Equity
•Healthcare
Required Skills
Oracle
Tableau
NetSuite
At Amazon, we're working to be the world’s most customer-centric company. Driving innovation on behalf of customers is core to our mission. This is an exciting opportunity to join one of the most strategic, impactful, and fastest growing areas within Amazon.
The Fin Ops Analyst will be responsible for service delivery of our Accounts Payable/Receivable functions for a specific geo / country and will partner with a diverse set of stakeholders within the Finance Shared Service Organization as well as the business. A key responsibility will be to deliver existing services at a high degree of accuracy, timeliness and controllership, besides supporting the growth in business.
This role requires one to be a self-starter with strong business modeling skills, keen attention to detail and good track record of collaborating with diverse stakeholders. This role has regular interaction with senior leadership and stakeholders across Amazon and requires strong verbal and written communication skills. The candidate will need to be capable of operating with a high degree of autonomy and hence needs to demonstrate a high degree of comfort with ambiguity besides holding a high bar on performance.
Key job responsibilities
Management responsibilities
1. Performs autonomously, initiates and manages complex, departmental and/or cross- company work.
2. Managing workload and establishing priorities.
3. Is expected to set and improve policies and procedures, maintaining full compliance, implementing best practices.
4. Focus is broad, will serve as a consultant on projects and areas of finance or support of a business.
5. This position will also act as an escalation point in resolving complex outstanding issues with internal and external business partners.
Basic Qualifications
- Bachelor's degree in finance, accounting or related field
- 1-2 years of Accounts Payable/Receivable (AP/AR)
- 1+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)
- Experience using data to analyze problems
- Experience demonstrating problem solving and root cause analysis
- Knowledge of Lean
Preferred Qualifications
- Degree / Masters Degree in Finance/Accounting as Major Subject
- Knowledge of Oracle Financials.
- Experience in 6 sigma Methodologies- Participated in Lean Projects, Quality circles & Creative work groups etc.
- Knowledge on Outlook, Word and Excel or similar desktop applications.
- Good typing speed – 25-30 w.p.m with 90% accuracy
- Applicant to have minimum experience of 6 months to 3 years.
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.
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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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