Requires experience with the following enhancing and restructuring large and complex Financial Datasets with a keen eye for Pattern recognition; Prototype Adhoc and mainstream workflows for customers and handle reiterative development of same with minimal assistance; Highly complex Quantitative, programming data modeling data management with experience developing software code in at least 1 popular statistical programming language Python or R; develop, test and deploy efficient SQL queries onto live servers for OnDemand Data pulls and downstreams data dependencies; and InteractivePassive Data visualization development skills using IBM Cognos, Microsoft SSDTBISSRS, Tableau, Alteryx and PowerBI.
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