at Walgreen Co. in Chicago, Illinois, United States
Use sophisticated statistical modeling, advanced data analysis tools and techniques to create, design, and modify statistical predictive models, analytical approaches, and statistical standards to develop forecasting and predictive models to interpret data driven results for use in making predictions about future outcomes in various scenarios for decision making purposes within multiple business functions of the organization. Analyzes statistical, mathematical, operational and economic factors in developing predictive models incorporating algorithms, analytical metrics and simulations while using highly complex predictive modeling, simulation and data visualization techniques to analyze, interpret and assess large data sets using customer profiling, segmentation analysis, survey design and analysis, and data mining to improve analysis of critical information required for effective strategic decision based upon changing scenarios and outcomes. Develop customized simulation and predictive business operations models of sensitive and complex business data using Python, R, and Spark to support and enhance business objectives, processes, and strategies while predicting future outcomes in order to anticipate, prevent and resolve potential problems.
Requirements: Master’s degree (or foreign equivalent) in Statistics, Mathematics, Operations Research, Economics or a related field plus 2 years of post-bachelor’s experience in the job offered or as a Senior Analytics Analyst, Analytics, Senior Analyst, or Analytics Analyst.