Jobs
Required skills
SQL
AWS
Excel
Tableau
· Perform hands on detailed data research and analysis of a large financial data set; investigate, troubleshoot and resolve data quality issues
· Create critical reporting for compliance, and accounting need
· Define business requirements for technical development based on analysis of data sets
· Work with customer teams to identify improvements in efficiency and controllership for their current data processes; teach them how to utilize the designed reporting and functionality in their processes.
· Build and maintain relationships with our key technology providers, as well as, other technical teams across Amazon
· Ability to explain financial/technical concepts and analysis implications clearly to a wide audience, and be able to translate business objectives into actionable analyses.
Basic Qualifications
- Experience in tax, finance or a related analytical field
- Experience in writing SQL queries and creating business intelligence reports using Tableau, Power BI
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel
- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- Speak, write, and read fluently in English
Preferred Qualifications
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
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
$1.5T
Valuation
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
4 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total per year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
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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