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Job Title :
Senior Analytics Patient Safety Advisor
Job ID :
Location :
RI - Woonsocket
Street Address :
1 CVS Drive
Category :
Description :
Job Description
As part of
the Retail branch of Enterprise Analytics, the Professional Practice Analytics team
is a dedicated function responsible for developing actionable business insights
related to the professional practice department within CVS Health’s retail
pharmacies. The primary areas of focus for the team include monitoring of
controlled substance dispensing and prescribing, patient safety, clinical
decision tracking, and pharmacy asset insights. This role will be focused on
building out advanced analytic capabilities and predictive modeling techniques
to support the department across some or all of these broad categories. The
successful candidate will lead the development and production of complex
analytics and reporting suites that will improve visibility into the state of
CVS’ retail pharmacies.

day-to-day experience of the role will vary – aligning key stakeholders and
team leadership to analytical projects, building and maintaining statistical
models to drive business outcomes, creating metrics and dashboards for field
teams and senior leadership, and developing hypotheses and conducting analyses
on complex issues related to stores, prescribers and patients. This candidate
will partner with our Professional Practice and A2i organizations, as well as
colleagues in Pharmacy Operations, Supply Chain, Legal, Compliance, Finance,
and Information Services, to provide analytical support on key innovation

  • Acting as a
    thought-partner for key business stakeholders, making data-driven
    recommendations to business leaders
  • Collaboration
    with internal and external stakeholders to develop a deep understanding of the
    issues being solved for, gather analytical requirements, and tailor the
    analytic solution to the specific client need and constraints of delivery
  • Conducting
    analyses of the data, ranging from descriptive ad-hoc analyses to in-depth
    investigations and outcomes with a variety of statistical modeling approaches
  • Create and
    implement analytical and predictive models
  • Communicate
    findings using a variety of formats, incorporating compelling visualizations
    where appropriate, to influence multiple audiences including those without
    analytical backgrounds
  • Prioritize,
    structure timelines, develop project plans, and engage/align stakeholders
    across multiple groups

Required Qualifications
  • Extensive
    experience with Microsoft Office products – PowerPoint, Excel, Access, Word. Similar
    application suites (Open Office, Google Drive, etc.) are acceptable
  • 3+ years’
    experience with data modeling/analytics with SQL, SAS, Tableau and/or other
    advanced analytical tools
  • Proficiency
    in processing large datasets (measured in hundreds of millions or billions of
    records) using SQL or SQL-like query syntax
  • Demonstrated
    experience in working with business partners and/or clients to identify the
    business problem, identifying proper data, constructing analytic solutions to
    the business problem and then presenting the data insights along with creative
  • Ability to
    quickly develop knowledge and understanding of new domains and underlying data
  • Ability to
    communicate effectively in a clear, logical and consistent manner
  • High level
    of attention to detail with the ability to manage multiple projects simultaneously,
    adjusting priorities as needed and meeting deadlines

Preferred Qualifications
  • 5+ years’
    experience with data modeling/analytics with SQL, SAS, Tableau and/or other
    advanced analytical tools
  • Healthcare
    industry knowledge and/or experience
  • Experience
    with Tableau and/or MicroStrategy
  • Deep
    knowledge of coding in statistical packages (like SAS, R, and Python) with
    strong quantitative skills, including relevant experience in logistic
    regression, cluster analysis, time series analysis, inferential statistics, and
    experimental design
  • Advanced
    skills and training in machine learning techniques and other quantitative
    research analytics such as: Non-Linear Regression Analysis, Multivariate
    Analysis, Bayesian Methods, Generalized Linear Models, Decision Trees and
    Random Forest, Non Parametric estimations, Neural Networks, Ensemble Models,
  • High level
    of independent judgment and initiative
  • Excellent
    interpersonal skills, including the ability to interact and influence at all
  • Strong
    personal organizational skills and the ability to work across business units
    within a complex organization

Degree required
Major in
Statistics, Computer Science, Economics, Mathematics or related STEM field a

Business Overview
CVS Health, through our unmatched breadth of service offerings, is transforming the delivery of health care services in the U.S. We are an innovative, fast-growing company guided by values that focus on teamwork, integrity and respect for our colleagues and customers. What are we looking for in our colleagues? We seek fresh ideas, new perspectives, a diversity of experiences, and a dedication to service that will help us better meet the needs of the many people and businesses that rely on us each day. As the nation’s largest pharmacy health care provider, we offer a wide range of exciting and fulfilling career opportunities across our three business units – MinuteClinic, pharmacy benefit management (PBM) and retail pharmacy. Our energetic and service-oriented colleagues work hard every day to make a positive difference in the lives of our customers.

CVS Health is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, ethnicity, ancestry, color, religion, sex/gender (including pregnancy), national origin, sexual orientation, gender identity or expression, physical or mental disability, medical condition, age, veteran status, military status, marital status, genetic information, citizenship status, unemployment status, political affiliation, or on any other basis or characteristic prohibited by applicable federal, state or local law. CVS Health will consider qualified job candidates with criminal histories in a manner consistent with federal, state and local laws. CVS Health will not discharge or in any other manner discriminate against any Colleague or applicant for employment because such Colleague or applicant has inquired about, discussed, or disclosed the compensation of the Colleague or applicant or another Colleague or applicant. Furthermore, we comply with the laws and regulations set forth in the following EEO is the Law Poster: EEO IS THE LAW and EEO IS THE LAW SUPPLEMENT

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. If you require assistance to apply for this job, please contact us by clicking EEO AA CVS Health

CVS Health does not require nor expect that applicants disclose their compensation history during the application, interview, and hiring process.

For inquiries related to the application process or technical issues please contact the Kenexa Helpdesk at 1-855-338-5609. For technical issues with the Virtual Job Tryout assessment, contact the Shaker Help Desk at 1-877-987-5352. Please note that we only accept resumes via our corporate website:

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