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CVS Health Logo

Data Science Analyst - Consumer Engagement

CVS Health

$74,160 - $148,320
Dec 4, 2025
New York, NY, US
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At CVS Health, the business problem is to transform health care by building a world of health around every consumer and surrounding themselves with dedicated colleagues who are passionate about transforming health care.

Requirements

  • 6+ months' experience in analytics or programming
  • 6+ months' experience with SQL
  • 6+ months' experience programming with Python
  • Experience building supervised and unsupervised predictive models in Python (scikit-learn, xgboost, keras)
  • Familiarity with advanced analytics tools and languages to analyze large data sets from multiple data sources
  • Demonstrates problem-solving skills and ability to suggest improvements under guidance.
  • Healthcare sector experience

Responsibilities

  • Perform basic analyses of structured and unstructured data to identify trends, support campaign performance, and generate actionable learnings.
  • Use SQL and Python/R to extract, clean, and process data from multiple sources.
  • Build and maintain dashboards to monitor campaign performance and member engagement in real time.
  • Assist with A/B testing for Messaging features to evaluate impact and inform product decisions.
  • Support continuous improvement of messaging campaigns through data-driven recommendations.
  • Contribute to the development of a scalable analytics framework for messaging as a channel.
  • Create compelling data visualizations and dashboards to communicate insights effectively.

Other

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline required
  • Ability to communicate technical concepts and implications to non-technical audiences, including experience creating communication materials (e.g., memos, slide decks)
  • Work with product, marketing, and engineering teams to understand business questions and support analytics solutions.
  • Document processes and share insights in a clear, concise format for technical and non-technical stakeholders.
  • 40 hours per week, full-time