Working knowledge with databases, statistical and analytical software such as SPSS, Stata, IBM Modeller, WordStat, QDA Miner, Minitab, Access, SQL, BI software; visualization tools, such as Power BI, QuickSight, and Tableau; understanding of relational databases, table structures and queries and capacity to use databases to manage data; machine learning, natural language processing, and other AI related methodology; SQL Reporting Services and R; writing SQL queries to pull or integrate data from several databases; understanding various data structures and common methods in data transformation; ETL, data processing, database programming and data analytics; pattern recognition and predictive modeling; programming languages such as JavaPython; optimizing joint development efforts through appropriate database use and project design; and understanding of statistics including predictive modeling, inferential statistics, regression, clustering, classification methods, decision trees, time series analysis, sampling, probability, and error.br br Skills may be gained through academic coursework and concurrently while pursuing academic studies.br br EDUCATION Masters degree or foreign equivalent in Business Analytics, Business Intelligence, Artificial Intelligence or related field.br br TELECOMMUTINGTRAVEL 15 domestic travel.
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