Humana Inc. is a leading U.S. healthcare company dedicated to improving health outcomes for millions of people. The Business Intelligence Lead will enable visibility into CAHPS & HOS performance by designing and maintaining reporting and metrics, empowering decision-makers with actionable insights to support continuous improvement across Stars Analytics.
Responsibilities:
- Enables fast, reliable visibility into CAHPS & HOS performance by operating the internal intelligence service
- Solves complex business problems and issues by designing and maintaining standardized reporting, metrics, and visualizations at both contract and member levels
- Ensures that the right signals are visible, accessible, and actionable for survey results, leading indicators, and member risk modeling
- Provides daily and weekly dashboards, rapid ad hoc analysis, and alerting on meaningful shifts
- Empowers decision-makers with actionable insights and supports continuous improvement across Stars Analytics
- Selects and leverages tools, technologies, applications, and practices to collect, integrate, analyze, and present survey and performance data
- Transforms raw information into actionable insights for internal and official reporting
- Ensures observability of CAHPS & HOS performance, standardizing metrics, dashboards, and visualizations
- Advises Stars leadership and other stakeholders to develop strategies focused on survey performance, member experience, and risk modeling
- Exercises independent judgment and decision-making on complex issues related to survey analytics, workflow automation, and rapid ad hoc analysis
Requirements:
- Bachelor's degree and 5+ years of technical experience in business intelligence, analytics, or survey data analysis
- 2 or more years of project leadership experience
- Advanced experience in dashboard development, reporting automation, and working with big and complex data sets
- Experience analyzing data to solve a wide variety of business problems and creating data visualizations that drive strategic direction
- Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
- Expertise with BI tools such as Power BI or Tableau
- Demonstrated ability to streamline data operations and reduce manual effort through automation
- Proficiency in verbal/written communication to senior and executive leadership
- Must be passionate about contributing to an organization focused on continuously improving consumer experiences
- Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or relevant certifications (e.g., CBIP, Lean Six Sigma)
- Experience in Medicare, Stars, or healthcare analytics
- Experience working with CAHPS & HOS or other survey data
- Advanced in SQL, SAS and other data systems
- Experience programming in Python
- Expertise in data mining, forecasting, simulation, and/or predictive modeling
- Experience with automation tools and technologies to automate workflows, data pipelines, and reporting processes