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This data analyst will be part of the FIU (Financial Investigations Unit) and Systems Support team to provide technical solutions using Financial Crimes related data. This team has responsibility for reporting and data visualizations within the FIU and within the EFCC (Enterprise Financial Crimes and Compliance) area. Team members also work on larger initiatives around audit, regulatory reporting, and self-id remediation. This team uses SAS, SQL, R, TOAD, and other supporting software. Data sources are mainly in Oracle, SAS, and ELZ (Enterprise Landing Zone). Data Visualizations are formed in Tableau, PowerBI, and Excel pivot tables. Automation, optimization, and standardizations allow this team to maintain a large number of recurring reports and still work on new initiatives. The ideal candidate will have deep experience with systems and technology. They will be practiced in finding innovative, technical solutions. They will be comfortable working with large data sets many times without a well-defined data model. They will be curious about details and let that curiosity drive their ability to solve problems. They will thrive working in a collaborative team. This analyst will be a resource for mentoring other team members in both technical and business knowledge. This analyst will become proficient in a variety of different tools and data sources. They will utilize their knowledge to define best practices with a focus on repeatability and supportability.