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Solutions Strategy - Supply Chain Analytics Senior Advisor

at CVS Health

Posted: 8/27/2020
Job Reference #: 1272997BR
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Job Description

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 Health’s 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

Education
Bachelor’s Degree in Information Systems, Computer Science, Business Analytics, Electrical/Computer Engineering or related field; Master’s 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.

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!