Provide financial consultation and pricing support to help CVS Caremark win and retain business.
Work directly with the client and the sales team to provide insight into a client’s pharmaceutical data.
Analyze client’s business problems and formulate data-driven solutions.
Present findings and recommendations to the client or Sr. Leadership.
Develop and/or maintain expert knowledge of the healthcare marketplace and CVS Caremark programs.

Requirements

1 year of overall experience
1 year of experience in analytics
1 year of experience in a field such as: finance, mathematics, operational analysis, statistics, epidemiology, sales and marketing research, accounting, economics or other data-driven field.
Experience may be met through educational and/or internship experience
Experience extracting, manipulating, and analyzing Big Data
Knowledge of SAS or other statistical and database software, including STATA, SPSS, R, and SQL highly preferred
Experience or knowledge of pharmaceuticals or health care industry is preferred
Experience in advanced Microsoft Excel-based modeling
MBA or Master’s in data analytics, finance, economics, or similar quantitative field
Bachelor’s degree or equivalent work experience

Benefits

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

analyticsdata analysisBig Datafinancial consultationdata-driven solutionsadvanced Excel modelingSASSTATASPSSR

Soft Skills

communicationpresentationproblem-solvinginsight generation

Certifications

MBAMaster’s in data analyticsMaster’s in financeMaster’s in economics