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At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues.
Job Responsibility:
Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses
Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics
Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Use strong programming skills to explore, examine and interpret large volumes of data in various forms
Requirements:
5+ years of relevant analytic experience
Experience programming using R or Python
Experience in SAS or SQL
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
Nice to have:
Master's degree or PhD preferred
Demonstrates strong ability to communicate technical concepts and implications to business partners
Anticipates and prevents problems and roadblocks before they occur
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