Senior Statistical Analyst - (US-NC-Raleigh - 27699)

Minimum Education: None
Jobcode: L:88971735
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For additional Employment Opportunities at John Deere visit: www.JohnDeereCareers.com   If it’s green and growing, chances are John Deere has a hand in it. With North America's broadest line of lawn and garden tractors and  commercial power equipment, John Deere is taking care of lawns and landscapes that surround our homes, beautify our parks, carpet our golf courses and stretch before our public places. Homeowners know that having a John Deere on their lawn is having the best. Landscape professionals depend on their John Deere equipment to get the big jobs done. With a full line of lawn and garden tractors, professional mowing equipment, Gator a?? utility vehicles, all terrain vehicles, compact utility tractors and portable power equipment, John Deere's commitment to quality makes the world we live in more healthy and beautiful. In fact, when it comes to our Commercial and Consumer Equipment, the fabled John Deere green takes on a whole new meaning. View location information to learn more about the area.   One of the benefits of working at John Deere is our comprehensive career development program.  Our employees' internal resumes are accessible on-line by managers and human resources, allowing them to match employee interests with company needs—in short, getting the right people in the right jobs, at the right time.   John Deere Commercial and Consumer Equipment is seeking a Senior Statistical Analyst to understand and analyze customer and related data and make actionable marketing recommendations based on data analysis results to help focus and personalize direct consumer marketing strategies and campaigns. In this position, you will:  Manage Customer Value Models (CVM), analyzing, executing, maintaining, enhancing and interpreting the models and their outputs. Explore, expand and improve the capabilities of the CVM so as to exploit to their full advantage. Provide customized analytic services for database modeling and market research projects. Provide and present insights on customer attitudes and behavior to support actionable marketing strategy and tactics.    Education   Bachelor's degree in Mathematics, Statistics, Social Sciences or related quantitative fields, or equivalent experience. Advanced degree in a quantitative field preferred.   Required Skills and Experience   Strong problem solving skills; can think independently with strong intellectual curiosity. Minimum 3-5 years experience in an analytics position.  Demonstrated knowledge of statistical software such as SPSS, SAS, or other similar statistical programs as demonstrated by the ability to write statistical programming codes/syntax. Detailed knowledge and experience in performing data manipulation (code/syntax writing), i.e., data recode, transpose, cleansing, and other necessary requirements before any data analysis. Knowledge and hands-on experience with Multivariate and advanced statistics including regression analysis (GLM), factor analysis, cluster analysis, discriminate analysis, conjoint analysis, categorical data analysis, and decision trees. Proficient with Microsoft Office suite with advanced Excel skills. Excellent communication/presentation skills, both oral and written. Ability to work well within a team as well as independently.   Desired Skills and Experience   Knowledge of Design of Experiment and survey methodology. Hands-on experience with SAS Enterprise Miner or other data mining tools. Knowledge of Visual Basic, SAS Macro and SQL. Exposure to qualitative research (i.e. In-depth interviews, focus groups, observations).  This position will be posted for a minimum of 7 business days and unposted when a qualified pool of candidates is achieved. The information contained herein is not intended to be an exhaustive list of all responsibilities, duties and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines. Equal Opportunity Employer.