The consultant drives the marketing strategy supporting customer segmentation and multi- channel integrated marketing campaign development and execution for assigned lines of business. Directly manages the marketing databases (Snowflake) and toolsets delivering state of the art cross channel campaigns and real time decision programs driving consumer response. Thought leader in leveraging specific marketing data to identify key client targets for marketing communications (Email, Direct Mail, Calling, Interactive/Digital, Web, etc.). Expertise in marketing analytics and statistical measurement of marketing programs. The consultant must have excellent communication skills and must be able to communicate about the techniques developed and results of analysis both to executives and other analysts in the organization. · A minimum of Bachelor’s degree in Mathematics, Computer Science, Business Administration, or a related field is required and equivalent work experience required.· A minimum of Bachelor’s degree in Mathematics, Computer Science, Business Administration, or a related field is required and equivalent work experience required. · Strong SAS Analytical experience – Customer Analytics, Multi-Touch Attribution (MTA), Campaign Development, Segmentation, Clustering, Propensity Modeling, Lifetime Value Analysis, predictive and response modeling · 5+ years of customer analytics (profitability and marketing) · 5+ years of general business analytics (segmentation, clustering, and propensity experience) · 3-5 years of SQL 3-5 years of SQL · Experience with Enterprise Miner is preferred. Nice to have experience (preferred but not required): - Operationalize clients modeling efforts to Viya – VDMML - Microsoft Azure cloud environment - Snowflake database • Experience developing reports and content with SAS 9.4 including: · 5+ years of SAS\SQL programming, predictive modeling and technical design. · SAS Enterprise Guide and SAS Enterprise Miner experience. · Tableau report and dashboarding development experience. · Snowflake database experience is preferred. · Lead and/or actively participate in SAS knowledge-sharing activities. · Be proficient in Base SAS programming (DATA step), SQL programming (i.e., use of SQL pass-through or PROC SQL), as well as the SAS Macro language for use in making code more efficient. · Good written and spoken communications skills in English and thought-leadership skills.