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 current 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.
Key job 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
- Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression)
- Identify new pattern of abuse and make recommendations for new controls and improved monitoring
- Develop and oversee the initiation of strategy recommen
📌 Business Analyst I, Account Integrity (Hyderabad)
🏢 Amazon Filters
📍 Hyderabad
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