Humana's Primary Care Organization (PCO) needs to transform data into actionable insights to analyze marketing performance, member engagement, and operational trends to inform strategic decisions and improve health outcomes.
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.)
- Experience in healthcare, primary care, or population health analytics
- Understanding of campaign performance metrics and member segmentation
- Familiarity with causal inference techniques (propensity score matching, synthetic controls, DID etc.)
- Familiarity with Databricks, Snowflake
Responsibilities
- Analyze campaign performance, member engagement, and operational metrics to identify trends and opportunities
- Leverage dashboards and reports that provide visibility into key performance indicators and develop insights
- Collaborate with marketing, clinical, and strategy teams to translate business questions into analytical approaches
- Assist in data validation, cleansing, and preparation to ensure accuracy and reliability of insights
- Support ad hoc analysis requests and contribute to presentations that influence decision-making
- Document methodologies and maintain data dictionaries to support transparency and repeatability
- Design and evaluate experiments (A/B, multivariate, causal inference)
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
- Managing multiple projects and meet deadlines
- Strong analytical thinking and problem-solving skills
- Ability to manage multiple priorities and deliver results in a fast-paced environment
