Four 4 years of experience in the job offered or related occupation performing statistical analysis and building algorithms to merge, manage, analyze, and extract data to support quantitative analytics; generating insights from conclusions of analysis that integrate with initial hypotheses and business objectives; developing, owning, and managing recurring analytic and reporting processes in close collaboration with technology and data science teams; writing programs for analyzing large data sets using technologies, including Python, Snowflake, SAS, and SQL to detect patterns, examine abnormal data, build statistical models, and generate datadriven recommendations; utilizing advanced statistical techniques, including generalized linear models, cluster analysis, treebased models, and mathematical analyses and knowledge of the industry to solve multiple business problems; and building predictive models and presenting complex information using data visualization tools, including Tableau and PowerBI. In the alternative, the employer will accept a Masters degree or foreign equivalent in one of the abovelisted fields and two 2 years of experience in the abovelisted skills. Any suitable combination of education, training or experience is acceptable.
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