Please note that experience with Enterprise Guide and Enterprise Miner is REQUIRED for this position. SAS Predictive Modeler / Data Prep Consultant Contract Start / End Date Start : ASAP – within weeks of being selected. End :  Approximately 4 months from start, but could be extended.   Contract Duration Approximately 4 months. (Extensions are possible.)   Work Location On-Site in Torrance, CA (near LA).  (100% on-site.)   Full- or Part-Time Full-Time is expected, but….if you’re willing to work Part-Time, the customer would be very open to that as long as you work on-site the entire time.    Primary Skill Set and Job Description   Background: The Customer currently uses BASE SAS to query large data sources. The programs use a combination of SQL and SAS Procedures to perform ETL processes and then summarizations. The summarizations are stored in SAS tables which then get put into Excel. From Excel, PowerPoint presentations are created to tell a "story" about the data.   The customer leverages Enterprise Guide (EG) and is using Enterprise Miner (EM) to develop predictive models which consist of decision trees, logistic and linear regressions.   The Consultant should leverage Base, EG & EM in order to be able to perform the entire lifecycle of data analysis including:  all data access and ETL; all descriptive statistical analyses; Predictive Modeling and Assessment; taking results or models and descriptive statistics and presenting a storyline to non-analytical audience.   The Consultant must have clear English speaking skills.   Note:  Unrelated to the skills the Consultant must have, the Customer currently has an initiative underway to implement SAS EBI in order to productionalize and automate many of the reporting programs that are being used currently. The customer is especially interested in the functionality of WRS, Stored Processes, Dashboards and the Portal.  Any experience you have with EBI would be a bonus (but is not expected).   Specific Technical Requirements: ·          Experience with SAS/BASE o    PROC SQL o    DATA step o    MACRO o    SAS Procedures to perform summary statistics, such as: ·         PROC MEANS / SUMMARY ·         PROC TABULATE ·         PROC FREQ ·         PROC UNIVARIATE ·         ETC. o    Ability to efficiently extract and JOIN tables originating from very large sources. o    NUMERIC FUNCTIONS o    CHARACTER FUNCTIONS o    ODS o    Exporting data to output tables and Excel spreadsheets. ·         Experience with Enterprise Guide ·         Experience with Enterprise Miner o    Ability to build a variety of predictive models