Sr. Business Analyst, Account Integrity

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION :

Have you ever thought about what it takes to detect and prevent unauthorized activity among hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers create and sign in to shop at Amazon? How would you build systems that evolve over time to proactively identify and neutralize new and emerging MO?

Amazon's Buyer Risk Prevention (BRP) team is looking for a passionate, results-oriented Business Analyst to support Account Integrity's mission is to prevent bad actors from taking over existing good Customer accounts (events referred to as ATOs), and from creating new Amazon accounts (bad actor accounts, or BAAs).

Key job responsibilities

As a Business Analyst in BRP, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. In addition you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.

Responsibilities :

Understand the various operations across BRP

Understand the requirements of stakeholders and map them with the data sources / data warehouse

Design and develop highly available dashboards and metrics using Tableau, Excel and SQL.

Provide wing-to-wing project lifecycle execution (project planning, execution, risk assessment and system availability)

• Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers
• Perform business analysis and data queries using scripting languages like R, Python etc.
• Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)
• Identify new pattern of abuse and make recommendations for new controls and improved monitoring

Develop and oversee the initiation of strategy recommendations

BASIC QUALIFICATIONS :

PREFERRED QUALIFICATIONS :

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