We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Do you want to make a large impact in your next role? Work for a Fortune 5 company? Join our team as a Senior Analyst, where you will be developing and maintaining expert knowledge of the rapidly changing healthcare marketplace, pharmacy benefits management industry, CVS Health data warehouses and CVS sales/pricing strategies. Here, you will play an essential role in providing key insight to our Pricing partners as you analyze and forecast client data to ensure CVS health provides competitive, profitable, and attractive pricing offers Utilize SAS and SQL to conduct data analytics in alignment with client setup and plan design. You will be critical to how CVS Health is expanding in the healthcare and pharmacy benefits management (PBM) industry. The Sr. Analysts work in concert with our Strategic Proposals Management and Underwriting teams to provide our healthcare clients with enhanced pricing options and analytical insights to make more informed business decisions and meet the needs of the rapidly changing healthcare marketplace. Successful communication will be required as you will need to be able to communicate complex analytic findings and conclusions in an easy-to-understand way. In this position you will utilize your strong expertise in Excel and advanced knowledge of data modeling and statistical analysis. Your familiarity with healthcare claims data will also be key. To be successful in this role you will quickly learn the business and adapt to changing parameters throughout the year. You will also be able to speak to various internal partners of varying levels about your analytics and assumptions that were applied.
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Job Type
Full-time
Career Level
Mid Level