Humana is looking to improve member engagement, optimize campaigns, build predictive models, and enhance pharmacy services across its CenterWell pharmacy business by supporting advanced data analysis efforts that inform marketing strategies and operational decisions.
Requirements
- Minimum of 1 year of demonstrated experience with data visualization tools (e.g., Tableau, Power BI)
- Minimum of 1 year of demonstrated experience with SQL, R, Python
- Experience and exposure to predictive modeling techniques (regressions, decision trees etc.)
- Familiarity with causal inference techniques (propensity score matching, synthetic controls, DID etc.)
- Familiarity with segmentation and targeting strategies
- Familiarity with Databricks
Responsibilities
- Analyze campaign performance and member engagement within pharmacy programs
- Leverage reports and dashboards to track KPIs, insights and trends
- Support data validation and ensure accuracy across datasets
- Collaborate with pharmacy, marketing, and analytics teams to translate business needs into data solutions
- Document methodologies and maintain data sources for repeatable analysis
- Design and evaluate experiments (A/B, multivariate, causal inference)
- Develop predictive models to optimize targeting and retention
Other
- Bachelor's degree in data Analytics, Data Science, Marketing, Business, or related field
- 1–3 years of experience in applying data science or advanced analytics in marketing or healthcare
- Strong analytical thinking and problem-solving skills
- Ability to manage multiple priorities and deliver results in a fast-paced environment
- Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required
