Provide technical and marketing expertise to develop predictive modeling algorithms and segmentations through an iterative process to proactively identify population segments that statistically have a high propensity for cross-sell or up-sell, likelihood for attrition, communication channel preference, efficiency toward health care use, etc. Proactively collaborate with Information Management to determine business requirements, identify and prepare data, build models, store model results and refresh models over time; included is the ability to work with both the Enterprise Data Warehouse (EDW) and Consumer Information Platform (CIP). Support Marketing (Integrated Market Intelligence) to articulate business needs, determine which identified population segments might benefit from certain targeted messages or offerings and align with other ongoing corporate initiatives. Ability to attend meetings with management to communicate business needs and make decisions on behalf of Integrated Market Intelligence as it relates to marketing analytics.

Requirements:

• Masters degree in Statistics, Mathematics or Business or equivalent work experience
• Demonstrated relationship skills, active listening skills, and the ability to understand, translate, and communicate marketing and data concepts
• Ability to track, to report, and to analyze data and make strategy recommendations based on results/findings
• Ability to leverage reporting, analytical, and data mining software tools, e.g. statistical software and databases (e.g. SAS, SPSS, Enterprise Miner and SQL)
• Ability to use statistical mining techniques, e.g. Decision Trees, Logistic Regression, Neural Networks, Clustering
• Ability to manage multiple projects simultaneously
• Strong attention to detail