Description Position Description: The Financial Crimes Data Analyst will work in a high paced environment supporting the Financial Crimes department's ever-changing data, reporting and analytical needs in its efforts to mitigate and report on illicit financial activities. This position will focus heavily on requirements gathering, data analysis and building dashboards/reports/tools to: solve problems, automate reporting or meet specific business needs. Data Analyst will be required to develop a solid understanding of the existing prevention and detection systems, their related data and their usage by the business units supported within the Financial Crimes department. They will be expected to determine effective, innovative, and timely solutions to challenging business needs and translate often difficult concepts and issues from business to technology and vice versa. Principal duties and responsibilities: Work with Financial Crimes business users, outside departments and vendors to provide or capture data requirements. Build dashboards, reports, processes or data feeds to facilitate those needs Apply statistical and/or other common analytical methodologies to detect outliers, estimate probability or provide important data insights. Utilize tools like Tableau, SAP Web Intelligence, Excel, and Notepad++ to perform data analysis, data validation, develop reporting or explore new datasets Build SQL queries to facilitate dashboards, explore datasets, run reports or compare data Build and utilize dashboards to monitor various data processes for data errors, failures, accuracy and completeness Position Requirements: Bachelor's degree required (advanced degrees/certifications a plus, commensurate experience accepted) Experienced using professional data visualization tools. Tableau strongly preferred. Proficient with Microsoft Office applications (especially Excel) Excellent analytical and problem solving skills Ability to apply analytic methods to solve business problems and effectively evaluate data or processes to communicate meaningful results and insights Experience writing SQL queries and using Microsoft SQL Server as a data source preferred Familiarity with common data cleansing operations Ability to create technical documentation Strong work ethic, independent initiative, and interpersonal skills. Proactive and self-starting Strong oral and written communication skills
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