Position requires a Masters degree in Finance, Statistics, Mathematics, Econometrics, Business Administration, Operations Research, Engineering, Computer Science, or a related field, and 2 years of experience with marketing analytics, including mix modeling, predictive analytics, and forecasting. Experience must include a minimum of 1 year of experience with marketing modeling and statistical modeling techniques, including econometrics, regression, cluster analysis, segmentation, and data mining; 1 year of experience with analysis of large datasets; 1 year of experience with translating complex analyses for technical and nontechnical audiences; 1 year of experience with transforming large amounts of unstructured data; 1 year of experience with developing functions in R to perform data analysis; and 1 year of experience with SAS, SQL, time series modeling, and MS Excel for spreadsheet modeling and reporting. Telecommuting is available up to 3 days per week.
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