| Job Description: | Summary:
Develop appropriate methods and processes for implementation of marketing solutions for clients.
Leads a statistical team to execute those solutions and ensure quality of final solution.
Act as a technical expert and mentor for development and implementation of analytical services
Key Responsibilities:
Lead in determining quantitative methods to deliver analytical solutions to clients business problems
Implements analytical solutions using the following techniques:
Predictive statistical modeling
Customer profiling
Segmentation Analysis
Survey Design and Analysis
Data Analysis and Mining
External Data Enhancement
Break-Even Analysis
Analyzes and manages data using SAS, SQL or other tools as requireda
Assists in presenting ideas and findings to clients
Evaluates and improves internal tools and processes
Experience: 4 or more years in a quantitative field with at least half in the direct marketing field
Quantitative Skills:
Ability to apply statistical techniques such as linear regression, logistic regression, analysis of variance, cluster analysis, CHAID, CART, principal components, factor analysis to business problems.
Ability to apply other quantitative methods such as sampling theory, probability theory and experimental design.
Computing Skills: Strong SAS skills required, including ability to manage data using BASE SAS and SAS MACRO and to use SAS STAT procedures.
Knowledge of other statistical packages (e.g., SPSS, Stata, S-Plus, AnswerTree) and/or programming languages (e.g., C++, Visual Basic, etc.) is helpful.
SQL is recommended.
Communication Skills: Excellent written and oral communication skills
Additional Skills: Strong problem solving skills and ability to work both independently and in teams
Education: Graduate degree with at least 4 graduate level courses in statistics
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