Business Analyst, Buyer Abuse Data Science

Written by the T&S Network from Amazon's posting.

Business analytics for Amazon's Buyer Risk Prevention team, which safeguards financial transactions across Amazon sites and works on buyer abuse. The Operations Analytics team builds insights and models to cut bad debt, reduce investigation errors and find hidden abuse patterns in BRP operations.

• Fraud and scams

What you'd do

• Mine data to find patterns of risk and abuse and help reduce bad debt.
• Investigate multi-account abuse such as linked accounts, account takeover and concession leakage.
• Query fraud and abuse signal tables for point-in-time analysis.
• Keep QuickSight dashboards running on Redshift rollups that track abuse metrics.
• Prepare weekly and quarterly business review inputs, including abuse BPS, goal tracking and forecasts.
• Monitor and triage ETL jobs, resolving timeouts, upstream delays and schema drift.
• Design experiments and build models to optimize BRP operations and forecast workflow and capacity.

What it asks for

• Five or more years as a business or data analyst, or in a similar analytical job.
• Experience with SQL.
• Experience in Excel, including VBA, pivot tables and power pivots.
• Experience with data visualization tools such as Tableau.
• Bachelor's degree or equivalent.
• English proficiency, written and verbal.
• Experience with operations, risk or fraud investigations (preferred).

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