Execute SQL queries to extract particular data sets from the data coming in into a Big Data DB.
Manage large amounts of data coming in from many sources, primarily in a cloud environment.
Using guidance from fraud investigators, extract, transform and load specific data to help identify fraud.
Provide analysis on data sets to identify trends, issues, and fraud prevention opportunities.
Work with partners to develop new methods of analyzing data.
Analyze, identify and implement process and systems enhancements to create efficiencies and reduce resource allocation.
Bachelor's Degree or equivalent from four-year College or technical school, preferably in Data Science or Computer Science, and 2+ years of related experience, or equivalent combination of education and experience.
Experience in similar data analysis and fraud detection
2+ years of strong experience with writing structured queries, setting up database connections and using the connections to conduct ETL processes between databases.
1+ years of experience with programming, preferably C#, a plus.
1+ years of experience with writing and consuming APIs a plus.
Experience with data sources relating to a customer based business is a plus