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Hands on experience with SQL (Intermediate/Advanced)
- Hands on experience with Dashboard tools like Amazon Quicksight, Tableau or PowerBi
- 2+ years of experience on Data Analysis or related analytical field experience
- Bachelors degree or equivalent
Have you ever thought about what it takes to detect and prevent fraudulent activity in hundreds of millions of eCommerce 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?
The Business Analyst is responsible for providing support to Payment Risk ML team. This includes using analytical and business skills to perform model evaluation related deep dives, educating partners on model actions, and monitoring alarms.
Key job responsibilities
A day in the life
- Provide time sensitive analytics to partner teams
- Identify root cause and work with partners such as ML teams to develop sustainable solutions
- Automate tasks using dashboards
About the team
Payment Risk Mining Analytics' mission is to combine the latest data science techniques with investigator insights to detect and prevent bad debt and negative customer experiences across Amazon.
San Jose, CRI
- Python experience on Pandas and plotting libraries
- Experience scripting for automation
- Proven experience in working with large scale databases and SQL in a business environment
- Experience in Machine Learning
