R , SQL 400

·         Collaborating with key internal and external stakeholders to gather and analyze needs and requirements to design and implement robust analytic solutions to support the identified needs; 

·         Developing and executing strategic plans to use advanced analytics in conjunction with patient and provider interventions to improve clinical and cost outcomes; 

·         Accessing, analyzing, and visualizing data from large databases using a variety of tools and techniques in R. 

·         Conducting analyses of the data, ranging from descriptive data exploration to advanced statistical modeling; 

·         Assessing existing available data, identifying data gaps, and collaborating with the data strategy team, IT, business partners, and outside vendors to develop approaches to closing the data gaps; 

·         Collaborating with business and analytic resources across multiple teams in a matrix organization to accomplish project goals; 

·         Constructing persuasive presentations and gaining consensus among a diverse group of individuals; 

·         Constructing and delivering written reports of the analytic findings in a variety of formats (reports, PPT, including visualization of data and findings), formulating recommendations, and effectively presenting the results to potential non-analytic audiences; 

·         Communicating complex technical subjects to technical and non-technical audiences.

·         Bachelor’s Degree in a quantitative/business field such as Economics, Statistics, or Business Management – Master’s degree a plus 

·         5-8 years of experience generating customer experience insights through data analytics, predictive modeling, segmentation, clustering, or general descriptive statistics 

·         Exceptional critical thinking skills, including the ability to quickly assimilate new information 

·         Strong knowledge of extracting and developing key consumer insights within a population 

·         Proficiency in distilling insights and presenting to business leadership 

·         Familiarity with handling data for analytic purposes using R. 

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