Jobs
Required skills
SQL
Join VS Analytics to transform seller verification data into insights that power Amazon's global marketplace. As a Business Analyst I, you'll build dashboards and provide analytics that help product teams improve the registration and verification experience for millions of sellers worldwide.
You'll work within established frameworks to deliver tactical analytics solutions using SQL and Amazon Quick. Your analyses will support team metrics and business decisions, helping stakeholders understand seller registration funnels, verification processes, and ready-to-launch metrics across the Registration and Verification Services organization.
Key job responsibilities
Build and maintain SQL queries and Amazon Quick dashboards to support business needs
Work with stakeholders to gather requirements for straightforward analytics projects
Develop understanding of VS Analytics data sources to solve defined business problems
Design datasets that provide timely access to actionable business information
Perform analyses to identify opportunities in registration and verification processes
Create performance dashboards with key metrics for team review
Handle multiple concurrent requests, prioritizing with guidance from senior team members
Document analytical approaches including metric definitions, logic, and data sources
Help train new peers on team processes and tools
A day in the life
Your morning starts checking overnight dashboard refreshes and reviewing any data issues flagged by the team. You write SQL queries to analyze verification funnel metrics for a product feature launch, consulting with senior analysts when you encounter unfamiliar data sources. Mid-day, you gather requirements in stakeholder meetings, asking clarifying questions about new metrics they need tracked. You spend the afternoon updating Amazon Quick dashboards based on feedback, testing changes to ensure accuracy. Throughout the day, you balance multiple tactical requests - from ad-hoc data pulls to dashboard maintenance - while documenting your analytical approaches in the team wiki. You wrap up preparing questions for office hours about a more complex analysis you're starting, continuously learning from your team while delivering insights that support business decisions.
About the team
The VS Analytics team consists of 12 BA/BIE spread across multiple time zones. Our mission is to improve seller verification services through data, analytics, and insights. We operate with a vision to build a better business with analytics, data, and AI products.
We work in biweekly sprints, hold regular office hours for stakeholders, and maintain a ticketing system for support requests. The team emphasizes knowledge sharing, with opportunities to learn from senior analysts guided by Amazon's 16 Leadership Principles and contribute to our self-service analytics initiatives.
Here at Selling Partner Services, we embrace our differences and are committed to furthering our culture of inclusion. We are reaching 10,000+ employees globally.
Basic Qualifications
- 2+ years of tax, finance or a related analytical field experience
- 2+ years of complex Excel VBA macros writing experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
- Bachelor's degree or equivalent
Preferred Qualifications
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Experience using very large datasets
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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