1. The candidate must have intermediate to advanced knowledge of SAS and SQL.
2. Excel and other applications to support large data aggregation and management
3. Advanced data analytics in a big data environment within a risk & fraud function is ideal
4. Experience in reporting and automation tools
5. Data and reporting experience and attention to detail
6. Ability to create trend reports and discuss anomalies with cross functional teams
7. Ability to present the data and communication skills
8. Manage, structure, and consolidate large amounts of data (building in validation to ensure accuracy)
9. Ability to collect, organize and disseminate significant amounts of information with attention to detail and accuracy
10. Effective multi-tasker, able to manage multiple files
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