Sr. Analyst, Customer Experience

Position Summary

CVS Pharmacy, Inc., a CVS Health company, is hiring for the following role in Woonsocket, RI:
Sr. Analyst, Customer Experience to deliver predictive analytics solutions to drive customer engagement, next‑best‑action, and improve customer experience across critical journeys.

• Perform ad‑hoc analyses using SQL, Tableau and Excel for multiple business units to improve customer experience.
• Communicate with key stakeholders to determine project requirements and objectives.
• Consult with project personnel to identify and resolve problems.
• Deliver predictive analytics solutions to drive behavior change and customer experience across channels.
• Consult with business partners to understand problems and goals, assess business value, and translate into business opportunities to be captured through predictive analytics solutions.
• Develop and use advanced algorithms and statistical predictive models to determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Research and work with data engineering and platform architecture teams to implement new and emerging technologies that facilitate better data integrity, reliability, and enrichment for quantitative solutions.
• Drive experimental design of campaigns across multiple channels in partnership with marketing stakeholders.
• Evaluate project performance for further optimization in subsequent iterations.
• Develop and participate in presentations and consultations to business stakeholders on analytics results and solutions.
• Contribute subject matter expertise through interactions with team members, peers, and managers to exchange complex information.

Telecommuting is available.

• Master’s degree (or foreign equivalent) in Computer Science, Information Technology, Data Science, Business Analytics, Engineering, or a related field.
• Completion of a university‑level course, research project, internship, or thesis in each of the following:
  Java, Python, or Node.js; XML, JSON, HTML, CSS, or JavaScript;
  Agile methodologies or SAFe Software Development Principles;
  Cloud technologies: AWS or GCP;
  Hadoop and Hive; R;
  Object‑oriented JavaScript;
  Machine learning, statistical analysis, or predictive modeling; NLP (Scikit‑Learn, Spa Cy, Pytorch, or Spark NLP);
  Java, Python, Hive, Cassandra, Pig, MySQL or No
  
  SQL.
• Large‑scale applications development, data science, or data analytics projects.
• Data analytics on large data sets in healthcare, business, or retail sector.
• Designing data models and solutions for analytical and reporting use cases.
• Quantitative analysis techniques, including clustering, regression, and pattern recognition.
• End‑to‑end data science lifecycle/workflow experience.

$98,571.00/year to $/year.

This range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above.

This position also includes an award target in the company’s equity award program.

The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully‑paid term life insurance plan to eligible employees, and short‑term and long‑term disability benefits. CVS Health also offers numerous well‑being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.

As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.