SAS ANALYTICAL CONSULTANT

Responsibilities

• Build a trusted relationship with the customer to provide practical and theoretical guidance in the business value of proposed solutions and set proper expectations to ensure customer satisfaction
• Strategize with sales team on objectives for customer meetings, understand how this activity relates to overall sales plan and provide functional solution leadership for sales opportunities
• Conduct discovery meetings to collect, analyze, clarify, and document business requirements during the sales cycle to support the implementation team and to produce a detailed solution proposal
• Provide reliable delivery of targeted project results through role as expert in the application of specific SAS methodologies, projects and technologies.
• Provide data and analytical expertise to projects.
• Understand client business pains and translating them into solutions.
• Collaborate with other professional services colleagues, project managers, and sales teams on customer implementations.
• Understand, utilize and communicate best practice methodologies and industry standards internally and externally.
• Participate in product and solution training to acquire and maintain a detailed level of product knowledge of core components of SAS offerings.
• Lead or assist with activities related to SAS analytics project discovery, definition, design, development, implementation and follow-on maintenance analytical environment.
• Prepare data mining data sets for modeling.
• Develop an understanding of the client’s data environment and how that applies to developing predictive models; that is, analyze and determine what data is available and necessary to create desired data mining model(s), to include reviewing available data sources and identifying appropriate variables (existing, or to be created) for the models.
• Use SAS for data exploration, to include developing intuition about the data, the data structures, data types, data values, exploration of distributions, summary statistics and / or histograms.
• Develop SAS programs to access data from various sources (e.g., reading in data sources and producing datasets suitable for SAS analytics); this will most often include data preparation, analysis and predictive model development.
• Perform data and statistical analysis, predictive modeling, and data mining using a mix of third-party and internal customer data to identify customer insights and behavioral characteristics.
• Interpret statistical model results into business insights and presents findings to management.
• Provide on-going tracking and monitoring of performance of decision systems and statistical models