Humana's Home Health business needs insights to improve care delivery, member engagement, and operational efficiency
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
- Use mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
- 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
- Experience with Snowflake/ Databricks
Responsibilities
- 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
- Mines, cleans and analyzes data from company databases and external data sources to build prediction of marketing goals, report on campaign performance over time by each channel
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
- Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
