Humana is looking to analyze and interpret data across its integrated health services to inform marketing strategies, improve member engagement, and support clinical and operational excellence.
Requirements
- 3+ years of demonstrated proficiency in SQL, Python, or R for data analysis and modeling
- 3+ years, strong experience with data visualization tools (e.g., Tableau, Power BI)
- 3+ years of experience with setting up causal inference experiments
- Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
- Knowledge of predictive modeling and segmentation techniques
- Experience working with integrated health data (clinical + marketing)
- Familiarity with HIPAA and healthcare compliance standards
Responsibilities
- Design and execute complex analyses to evaluate marketing performance, member behavior, and health outcomes
- Leverage dashboards and reporting tools to provide actionable insights to stakeholders
- Collaborate with cross-functional teams to align analytics with strategic goals
- Translate business questions into data-driven approaches and present findings to leadership
- Ensure data integrity through rigorous validation, documentation, and quality control
- Identify opportunities for optimization and innovation in marketing and engagement strategies
- Develop custom machine learning models such as segmentation, multi touch attribution, churn models etc.
Other
- Bachelor's degree in data analytics, Pharmacy, Business, healthcare, related quantitative field OR 3–5 years of data analytics or data science experience
- Only candidates with Citizenship or Lawful Permanent Residency in the U.S. will be considered
- Sponsorship is not available for this position (e.g. H-1B, E-3, TN, 0-1, STEM OPT, or any immigration work authorization requiring a written submission from the company to a government agency)
- Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required
- Excellent communication skills and ability to present complex findings clearly
