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Business Analyst

3 months ago

Bengaluru, Karnataka, India timesjobs Full time
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Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of e-commerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?

Our mission in Payment Risk is to make Amazon the safest place to transact online.

Payment Risk safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers.

As such, Payment Risk designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in


As a Business Analyst in Payment Risk Analytics, 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.

You will work with team members to ensure that the volume being flagged for manual review aligns with available capacity and Service Level Agreements (SLAs) are met.

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 Payment Risk
  • Design and develop highly available dashboards and metrics using SQL and Excel/Tableau
  • Understand the requirements of stakeholders and map them with the data sources/data warehouse
  • Own the delivery and backup of periodic metrics, dashboards to the leadership team
  • Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies
  • 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 appropriate tools
  • Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
  • Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)
### Locations
IND, KA, Bangalore