Sr. Analyst, Customer Experience

Position Summary

Sr. Analyst, Customer Experience – Woonsocket, RI. Responsible for delivering 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.
• Confer 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 translate business goals into predictive analytics opportunities.
• Develop and use advanced algorithms and statistical predictive models to evaluate scenarios and potential future outcomes.
• Research and work with data engineering and platform architecture teams to implement new 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 on analytics results and solutions.
• Provide subject‑matter expertise through interactions with team members, peers, and managers.

Master’s degree (or foreign equivalent) in Computer Science, Information Technology, Data Science, Business Analytics, Engineering, or a related field.

Requires completion of a university‑level course, research project, internship, or thesis in each of the following areas:

• Java, Python, or Node.js
• XML, JSON, HTML, CSS, or Java Script
• Agile methodologies or SAFe Software Development Principles
• Cloud technologies: AWS or GCP
• Hadoop and Hive
• R
• Object‑oriented Java Script
• Machine learning, statistical analysis, or predictive modeling
• NLP (Scikit‑Learn, Spa City, Pytorch, or Spark NLP)
• Java, Python, Hive, Cassandra, Pig, MySQL or No
  
  SQL
• Large‑scale application 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

$98,571.00/year to $/year – base salary plus potential bonus, commission, short‑term incentive, and equity award program.

Full‑time position eligible for comprehensive benefits, including:

• Medical, dental, and vision coverage
• Paid time off (PTO) and vacation pay
• Paid holidays and sick time in accordance with state law and company policies
• 401(k) retirement savings plan
• Employee Stock Purchase Plan
• Fully‑paid term life insurance
• Short‑term and long‑term disability benefits
• Well‑being programs, education assistance, free development courses, CVS store discount, and partner discount programs

Telecommuting available. Multiple positions. This job does not have an Final date to receive applications, as CVS Health accepts applications on an ongoing basis.

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