Humana's Primary Care Organization (PCO) needs to transform complex data into actionable insights to guide marketing strategies, improve member engagement, and support 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
- Be able to create reports, projections, models, and presentations to support business strategy and tactics
- 3+ years and knowledge of predictive modeling and segmentation techniques
- Experience with Snowflake/ Databricks
Responsibilities
- Leverage dashboards and reporting tools to develop insights around campaign performance, member engagement, and operational KPIs
- Conduct deep-dive analyses to uncover trends, identify opportunities, and support strategic planning
- Translate complex data into clear, actionable insights for leadership and stakeholders
- Develop custom machine learning models such as segmentation, multi touch attribution, churn models etc.
- Use predictive modeling to bring insights into Humana member experiences utilizing Regression, Random Forest, XG Boost models, clustering, text mining for revenue generation, and other business outcomes.
- Conduct a power analysis, hypothesis testing, develop marketing A/B test design, support implementation of the tests and present the statistical findings of the test to our business partners.
- Use mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
Other
- Bachelor's degree in data Analytics, Pharmacy, Business, healthcare, related quantitative field OR 3–5 years of data analytics or data science experience
- Collaborate with marketing, clinical, and strategy teams to align analytics with business goals
- Mentor junior analysts and contribute to the development of best practices in analytics
- Master’s degree in a quantitative or healthcare-related field
- Familiarity with HIPAA and healthcare compliance standards
