: Supply Chain Analytics - Senior Advisor
1 CVS Drive
Woonsocket, RI 02895

Employee Testimonials

CVS Health testimonial
CVS Health testimonial


Job Description
The Senior Advisor, Supply chain Analytics is an exciting opportunity for you to be a vital contributor to a high-performing analytics team focused delivering analytic solutions that drive innovation in our Pharmacy supply chain business.
In this critical role you will be responsible for leading analytic solutions developing advanced modeling, reporting and data infrastructure improvements aimed at improving pharmacy inventory management. You will collaborate with business partners & cross functional teams to develop effective solutions for our business teams. You will be required to manage multiple high-profile work streams with urgency and be accountable for delivering quality results, and be able to present these results to senior leadership in the company. Additionally you will also serve as analytics liaison between business and technical teams to drive results & deliver enhanced value though impactful analytic insights, improved data visualization and statistical analyses in support of Pharmacy Supply chain analytics.

To be effective in this role, this leader needs to be accountable, work with a sense of urgency, possess strong critical thinking and analytical skills, and have passion for developing and managing high-performing teams. The ideal candidate must be goal oriented, possess a passion for a high level of quality, and be able to partner with and influence a wide variety of internal and external stakeholders.
The ideal candidate will have:
Accountability, work with a sense of urgency, possess strong critical thinking and analytical skills, and have passion for developing and managing high-performing analytics solutions
Strong computer science and quantitative skills to extract maximum value from CVS Healths data assets
High energy & inclination to develop deep business acumen and experience to generate customized, actionable insights in a data-driven and deadline-oriented environment
Hands-on experience with statistical programming (SAS,R or Python) as well as advanced data science concepts (e.g., regression modeling, timeseries forecasting, classification, data clustering, time series forecasting, advanced machine learning techniques)
Familiarity / Experience leveraging Big-data & large scale distributed computing environments to build, launch & maintain complex analytics pipelines in production
Be able to prioritize, structure timelines and project plans, engage and align stakeholders across multiple groups, define measures of success, incorporate feedback and analyze results across multiple work streams
Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership
A day in the life of this position involves:
Collaborating with other highly skilled analytics colleagues within Retail Pharmacy Enterprise Analytics team & supply chain business teams to derive business insights from our data assets
Rapidly developing a deep understanding of CVS data and processes across multiple lines of business as well as serving as SME and data steward for others in the application and use of our data
Performing ad-hoc analyses by innovatively segmenting product and store level data to unlock insights
Structuring and executing analytic road-maps to meet both short- and long-term needs of our business stakeholders
Developing predictive models and machine learning algorithms to facilitate business growth and profitability

Required Qualifications
BA degree required with minimum of 6+ years of relevant experience delivering growth-oriented, quantitative solutions in retail or healthcare environments. Master's degree or equivalent in an analytic discipline and 3+ years of relevant experience; or a PhD and 1+ years of relevant experience
Minimum of two years experience coding in statistical packages e.g., (SAS, R, or Python) with strong quantitative skills, including relevant experience in logistic regression, cluster analysis, time series analysis, inferential statistics, and experimental design
Minimum of two years handling large data-sets (measured in hundreds of millions or billions of records or big-data platform) using data mining programs such as SQL to produce meaningful analytics insights and experience building and running products and applications at scale, in production, in mission critical situations
Minimum of two years experience working with data visualization platforms (e.g., Tableau)
Minimum of 2 years of experience building and facilitating presentations to various audiences: technical, non-technical and senior leaders
Experience prioritizing work, and communicating in a manner that is clear, logical, consistent, and effective.
High energy and a sense of urgency to deliver results, attention to detail and ability to manage multiple projects simultaneously, adjusting priorities as needed to meet deadlines.
Familiarity with building data pipelines, data modeling, architecture & governance concepts and implementing ML models using highly scalable and high availability systems

Preferred Qualifications
Leadership experience of executing large-scale analytics projects & guiding other team members
Demonstrated competencies such as teamwork, creative problem solving, and flexibility
A strong curiosity to continuously learn data science techniques and tools
Ability to work within a climate of ambiguity
Strong personal organizational skills
Excellent relationship management, strong team building, and the ability to work across business units within a complex organization
Analytical modeling & automation experience is a significant plus
Experience with cloud computing environment (ideally Microsoft Azure) & building, launching and maintaining complex analytics pipelines in production is a definite plus

Bachelors Degree in Information Systems, Computer Science, Business Analytics, Electrical/Computer Engineering or related field; Masters degree preferred

CVS will sponsor for this position

Business Overview
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.


Employee Testimonials

CVS Health testimonial
David L. Casey
Vice President, Workforce Strategies and Chief Diversity Officer

The military has an ethos that is grounded in purpose-driven service that’s bigger than the induvial. The same holds true for us at CVS Health. You can talk to colleagues in any part of our business and they will be able to articulate our company’s purpose. Working here provides an opportunity for service members and military spouses to continue to serve -- just in a civvies.

CVS Health testimonial
Susan Medina
Head of Executive Search & International Talent Acquisition

As a member of the CVS Health team I have the chance of a lifetime to work for a company with a purpose in which I truly believe. Who wouldn’t want to go to work every single day knowing that every conversation, every meeting, every email, every day will have an impact on someone, especially when that someone is likely a friend, a family member, a grandma, or even a stranger?