- Social Responsibility
- Resource Library
- Investor Story
- Results Center
- 2016 In Review
- Financial Information
- SEC Filings
- Events & Presentations
- Stock Information
- Corporate Governance
- Investor Resources
Join us and help find new ways to interpret, test, model and analyze information and ultimately help people on their path to better health.Search All Analytics Jobs
Every day at CVS Heath, 5 million customers visit our retail pharmacies. And from each of these interactions we gather just some of the data that we use every day to drive our decisions. As part of our team, you’ll use data to optimize ExtraCare, the industry’s largest and most advanced retail rewards program. You’ll use it to build bridges across data sets to help with medication adherence. And you’ll use it to build tools and models to help create brand new services.
One specific example of data making a difference is in Specialty Medical Benefit Management. These patients have rare diseases and high cost medications. By looking deep into the data, we saw that we could streamline processes, connect different areas of our company, and ultimately deliver a solution that makes tough, expensive treatments easier and more affordable.
In Analytics Consulting Service (ANCS), we work closely with our Pharmacy Benefit Manager (PBM) clients to help them develop a comprehensive understanding of their pharmacy costs and utilization and what factors drive them. Using advanced analytics tools, we also help them lower costs or grow their business while creating the best benefit for their patients. Working in this dynamic, multi-disciplined group, you’ll need strong technical, financial and business skills as well as the ability to distill complex information into actionable insights.
One of the most exciting and interesting areas of analytics, Analytic Development is where you’ll work with business partners across CVS Health to derive deep insights on our customers and business process, and then develop automated tools, metrics, and advanced models to integrate those insights into business processes. Teams across our organization will utilize these tools to make data-driven decisions and your work will influence product development and help our operations partners give patients easier access to our services and help them on their path to better health. You must be a problem solver and creative thinker who can understand customer needs as well as translate those into actionable, repeatable business insights.
As the primary analytics tool for all of CVS Health Marketing, Customer Analytics works with stakeholders and data sources from all units of the retail business to help them understand how marketing and other initiatives drive changes in consumer behavior. This helps each business unit make strategic decisions within and beyond Marketing and gain a deeper understanding of patient and consumer behavior. You’ll use analytics tools ranging from propensity and time-series modeling, to a/b testing and data visualization. Strong technical skills in SQL/SAS are a must as is an ability to communicate complex analyses to non-technical audiences.
Working with many areas of CVS Health, our Enterprise Evaluation and Population Health Analytics (EEHPA) has two branches. The first use epidemiology, biostatistics and health services research approaches to design and evaluate clinical programs and Enterprise initiatives. The Population Health branch develops analytics models to predict patient behaviors and models for population surveillance and intervention. Our employees typically have an advanced background in epidemiology, mathematics, economics, medicine, engineering, or health services research as well as a passion about data and improving health.
In ExtraCare Analytics, we strive to understand our customers and create marketing programs that deliver 1:1 personalized messages and offers to each customer. ExtraCare is one of the industry’s largest rewards programs and its driven by the insights and innovations of colleagues like you. You’ll work in a rapid-test and rapid-learn environment and focus on improving customer loyalty by using attributes and behavioral data to deliver the right offer to the right customer at the right time. We have a variety of analytics disciplines on our team, and are open to any industry backgrounds.