As a member of a highly focused, collaborative team, you will be responsible for managing a wide-ranging set of projects focused on financial modeling, as well as regulatory and compliance reporting for financial guarantees. In this versatile role, you will create customized, data-driven approaches to relay complex analytics and conclusions in a way that is easy to understand. As a crucial part of the team, you will help lead initiatives and support senior management with understanding complex results to make informed decisions on pharmacy reimbursement strategies
Additional responsibilities of this role include:
- Building customized reports concentrating on financial performance and regulatory compliance
- Spearheading collaboration efforts with other team members and departments to develop analytic models, methodologies, and reports that support CVS Health agreements
- Continual prioritization of competing needs to ensure focus on highest impact activities
- Developing and assisting with coding logic in SAS, SQL, Python, R, STATA, Excel, MS Access
- Supporting pharmacy and MAC-related data collection and projection analyses
- Improving the efficiency of various processes
Required Qualifications :
- At least 5 years of relevant experience in data analysis and financial acumen.
- At least 2 years of experience using SQL independently
Preferred Qualifications :
- At least 5 years of experience manipulating, and analyzing large datasets using a variety of tools
- At least 2 years of experience using SQL independently
- Experience with SAS or other statistical, database software, including STATA, SPSS, R, Python.
- Experience/Exposure to PBM Contracting, Underwriting or Pharmacy pricing, especially MAC lists
- Expertise in forecasting techniques and optimization methodologies
- Degree in finance, economics, mathematics, statistics, actuarial science, accounting, epidemiology, marketing research, operations or other quantitative-related fields preferred
Education :
- Bachelor’s degree or relevant work experience required.