Experience required with the following i handling, manipulating, analyzing and interpreting Retail lending customer datasets utilizing advanced tools and software including SAS, SQL, Tableau, Python, advanced MS Excel and PowerPoint; ii handling and transforming Big datasets and performing statistical analytics on such large datasets using Teradata, SAS, Hadoop, and Python; iii statistical modeling using Decision Trees and Data analysis to identify and refine high risk segments and synthesize and lead results with presentations in front of less technical senior audience; iv retail lending credit risk management, specific to acquisition and portfolio management risk analysis; v handling, manipulating, mining, analyzing and interpreting credit bureau databases and Experian Sandbox database utilizing advanced tools and software including SAS, SQL, Tableau, and Python; vi conducting PL profitability and loss analysis on revenue and risk metrics in financial industry; vii writing and implementing SASSQLPython programs and macros for generating and automating reports to monitor origination and business portfolio performance; viii sourcing and synthesizing data using advanced database management writing complex SQLSASPython queries, advanced tools and software including Knowledge Studio, SAS Enterprise Miner, and advanced Excel pivot tables and PowerPoint; ix preparation of dashboards from analytical data in a server environment using Tableau; and x delivering data analytics in multimedia presentations to senior leadership.br br From H.4B Economics, Applied Mathematics, Engineering, Business Administration, Statistics, Mathematics, Computer Science, Mechanical Engineering, Industrial Engineering and Management, or Financebr br Note Because there is no primary experience requirement in H.6, the Kellogg language is not required.
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