Location: Madison,WI, USA
Job Title Senior SAS Analytical Consultant Client State Client - Medicaid experience Start Date April 2023 Duration 6 months - 960 hours Hours Per Week 40 hours per week Client Location Madison, WI Working Location 100% Remote Citizenship Requirements Candidates must be legally authorized to work in the United States. DESCRIPTION and RESPONSIBILITIES Seeking a full time Senior SAS Analtyical consutant to work with our client, a State client in Madison, WI. We are seeking an experienced statistician, modeler, or data scientist to support a variety of cleared work. The consultant in this role will develop healthcare analytics applications and reporting for a Medicaid client who recently implemented the SAS solution as an Enterprise Data Warehouse and Business Intelligence System. 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. QUALIFICATIONS - ESSENTIAL •Bachelor's Degree in Business, Computer Science, Economics, Mathematics or related field. •6 years' of professional consulting experience involving implementations of analytical applications or data manipulation •Analytical Programming experience in SAS as well as experience with SAS Studio and SAS Visual analytics •Deep experience doing reporting with healthcare claims and eligibility data •Knowledge of common acronyms associated with Medicaid and healthcare (FPL, MCO, HMO, managed care, etc) •Relevant experience in the Healthcare industry preferred (commercial or govt). •Health care industry domain experience, such as; o Understanding of claim handling processes, concepts, and industry trends •Partner closely with members of the SAS team to uncover analytical business needs within the Medicaid client •Partner closely with the customers to ensure engagement drives value within the organization •Analyze large volumes of customer data (medical claims, MCO claims, eligibility data, etc.) for accuracy and consistency. •Translate business requirements into analytic methods, reports, and present results. •Automate analytic processes. •Proficiency in SAS coding. Ability to code within the SAS Viya 3.5 platform and use CAS efficiently. •Develop reports in SAS Visual Analytics •Translate customer business needs and problems into requirements for analytical approaches and reports. •Examples of possible reporting needs: •Traditionalost and utilization reporting •Federal Reports such as CMS-64 •Quality Measures (HEDIS-like measures) •Program Monitoring, Reporting, and Evaluation for Medicaid programs •Excellent written and verbal communication skills. •Solve customers' complex business problems using healthcare analytics •Communicate with people of various technical and business backgrounds •Create visualizations for presenting data and analysis. •Work well independently and in a team environment. •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. •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. •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. •Ability to write SAS/SQL statements to store, retrieve, manipulate, integrate, validate, and summarize data. •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. MAJOR RESPONSIBILTIES/ACTIVITIES: •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.