Must possess a Bachelors Degree in Statistics, Data Sciences, Information Technology, Analytics, or a related field and 4 years of experience in the job offered or in an analytical or closely related field. Must also possess experience with i credit, credit policy, and financial statement analysis; ii mathematical, statistical, analytical, and computational skills; iii complex statistical and advanced analytical techniques such as logistic, linear, panel or nonlinear regression, survival analysis, clustering, optimization, timeseries forecasting, and experimental test design; iv data mining, data analysis, and data visualization; v coding using scripting language such as Python and R; vi Tableau; vii querying complex data warehouses and aggregate data for strategic reporting; and viii 4 years of experience using SQL Server and SAS to extract, clean, manipulate, transfer data, create variables, and explore patterns and relationships. Telecommuting maybe allowed occasionally within commutable distance to the office.

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