Experience in decision analysis for insights. The individual must have related experience in descriptive, predictive and prescriptive analysis methods and background in Defining business objectives for analysis Design and preparation of data for use in analysis Application of statistical, decision analytic and data mining methods Building, testing, deployment and maintaining models Data visualization for business diagnostics and insights. The individual should have practical experience in analyzing relationships between performance variables involving the following types of analysis Descriptive statistics to understand characteristics of data Driver and Predictive Modeling analysis in such areas as Linear and non-linear multiple regression methods Logistic regression Sensitivity analysis Time Series analysisforecasting methods Probabilistic modeling Ensemble modeling methods Simulation and optimization Prescriptive analysis with textunstructured data analysis, a plus. Experience in use of standard statistical analytic software (e.g. SAS, R, SPSS, etc.) is required. A Masterrsquos degree is preferred, or suitable experience working in a business analytics or data science environment.
Associated topics: biostatistics, data analyst, probability, statistics, c
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