Individual contributor role that uses broad technical and data analysis skills as well as business and industry knowledge to identify client needs for quantitative analysis.
Determines relevant quantitative methods for solving client marketing issues
Assists in presenting ideas and findings to future and existing clients
Proactive and effective interaction with other internal groups
Shares knowledge with other member of the analytics team and takes project lead on a short-term basis
Evaluates and improves internal tools and processes
Addresses and analyzes direct marketing programs using the following tools and techniques:
Predictive statistical models
Customer profiling
Data Analysis and mining
External data enhancement
Controlled testing strategy and execution
Break-even analysis
Skills/Requirements:
Master’s degree (M. A.) or equivalent in statistics, math, economics, or related quantitative field or several years of experience in applied statistics
Work Experience:
One or more years experience in quantitative/analytic arena, preferably in database marketing or web analytics
Must have hands-on SAS experience. SQL experience is a plus
Must have experience building regression-based models and using other modeling techniques in a business environment
Strong communication skills Recruiter: Rita Raz
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