You will collaborate with business partners to identity
opportunities to leverage big data technologies with a
common set of tools and infrastructure to make analytics
faster, more insightful, and more efficient. You will build
and architect next-generation Big Data machine learning framework developed on a group of core Big Data
technologies. You will design highly scalable and
extensible Big Data platforms which enables collection,
storage, modeling, and analysis of massive data sets from
numerous channels. You will define and maintain data
architecture, focusing on applying technology to enable
business solutions. You will assess and provide
recommendations on business relevance, with appropriate
timing and deployment. You will perform architecture
design, data modeling, and implement CVS Big Data
platforms and analytic applications. You will bring a
DevOps mindset to enable big data and batch/real-time
analytical solutions that leverage emerging technologies.
You will develop prototypes and proof of concepts for the
selected solutions, and implement complex big data
projects. You will apply a creative mindset to a focus on
collecting, parsing, managing, and automating data
feedback loops in support of business innovation
Bachelors degree in statistics, mathematics, computer
science, quantitative economics or related field.
3+ years of experience with SQL
3+ years of experience working in with retail loyalty
solutions specially email, direct mail, and OAR channels
3+ years of Customer/Campaign analysis experience
Experience working in small teams in high pressure
Experience developing hypothesis-based solutions and
Experience presenting analytical findings to audiences at
Ability to concisely explain complex analytical finding to
non-analytic peers and internal customers
Experience measuring the impact of store policy changes
Exposure to Healthcare Domain knowledge.
Masters in Data Science or Business Analytics experience.
Experience with cloud computing environment (ideally
BA degree required with 2-5+ years of relevant experience; or a Master's degree or equivalent in an analytic descipline and 1+ years of relevant experience
Acceptable fields include: Information Systems, Data Engineering, Computer Science, Business Analytics, Electrical/Computer Engineering, or related field
At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.