You’ll lead analytics that support Home Health marketing and operational initiatives.
Analyze member engagement, campaign performance, and operational metrics for Home Health services
Leverage dashboards and reports to provide visibility and insights into key KPIs
Collaborate with marketing, clinical, and strategy teams to align analytics with business goals
Conduct deep-dive analyses to uncover trends and opportunities
Ensure data quality and maintain documentation for repeatable insights
Translate complex data into clear, actionable insights
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.
Requirements
Bachelor's degree in data analytics, Pharmacy, Business, healthcare, related quantitative field OR 3–5 years of data analytics or data science experience
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
3+ years and knowledge of predictive modeling and segmentation techniques
Benefits
medical, dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
short-term and long-term disability
life insurance and many other opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticsdata scienceSQLPythonRdata visualizationpredictive modelingregressionrandom forestXG Boost
Soft skills
collaborationcommunicationanalytical thinkingproblem-solvingattention to detail