Business Analyst II, Selling Partner Identity and Verification (SPIV)
Apply NowCompany: Amazon
Location: Tempe, AZ 85281
Description:
The Related Accounts Program is a key component within SPIV (Selling Partner Identity Verification), working alongside Identity Verification, Document Authentication, and Risk Assessment teams. This role supports SPIV's mission of ensuring marketplace trust and seller authenticity through sophisticated account relationship detection and stopping bad actors.
We're seeking an experienced Business Analyst to join our Related Accounts team within SPIV. In this role, you'll analyze seller account relationships by processing hundreds of account attributes, working closely with investigations teams, risk managers, and Product/Program Managers to maintain marketplace integrity.
Key job responsibilities
Support and maintain data pipelines and ETL processes ensuring high data accuracy and reliability
Partner with investigations teams to analyze complex seller account relationships and patterns
Drive data-informed decisions through detailed analysis and reporting
Develop and optimize processes for detecting related seller accounts at scale
Provide critical insights through ad-hoc analysis to support business leaders and stakeholders
Monitor and evaluate the effectiveness of existing detection mechanisms
Create actionable recommendations based on data analysis findings
BASIC QUALIFICATIONS
- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- 5+ years of business analyst, data analyst or similar role experience
- 3+ years of business or financial analysis experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with SQL
- Experience using very large datasets
PREFERRED QUALIFICATIONS
- Master's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- Experience with Python
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
We're seeking an experienced Business Analyst to join our Related Accounts team within SPIV. In this role, you'll analyze seller account relationships by processing hundreds of account attributes, working closely with investigations teams, risk managers, and Product/Program Managers to maintain marketplace integrity.
Key job responsibilities
Support and maintain data pipelines and ETL processes ensuring high data accuracy and reliability
Partner with investigations teams to analyze complex seller account relationships and patterns
Drive data-informed decisions through detailed analysis and reporting
Develop and optimize processes for detecting related seller accounts at scale
Provide critical insights through ad-hoc analysis to support business leaders and stakeholders
Monitor and evaluate the effectiveness of existing detection mechanisms
Create actionable recommendations based on data analysis findings
BASIC QUALIFICATIONS
- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- 5+ years of business analyst, data analyst or similar role experience
- 3+ years of business or financial analysis experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with SQL
- Experience using very large datasets
PREFERRED QUALIFICATIONS
- Master's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- Experience with Python
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.