Humana HCPR Informatics Lead in Colorado Springs, Colorado
The Informatics Lead coordinates with other analytics, IT and business areas across the organization to ensure work is completed with insights from knowledge SMEs. The Informatics Lead works on problems of diverse scope and complexity ranging from moderate to substantial.
The Informatics Lead leverages advanced knowledge of data, modeling, optimization, and tools.
The Informatics Lead will guide a team of associates supporting Analytics and Forecasting for HCPR (Humana Clinical Pharmacy Review). They develop annual volumes forecasts for HCPR, based on historical volume as well as changes in the upcoming year related to formulary coverage. Forecasting is completed for multiple departments within HCPR, which all have unique characteristics to be considered. The team also provides analytics for a group that helps with automating these authorization reviews. The Informatics Lead will be responsible for setting a strategy for the self-serve tools that support all of our key business partners, continuously improving our volume forecast processes, and creating an environment of growth and development for their team.
Bachelor's degree in Mathematics, Statistics, Actuarial Science, Economics, or other quantitative focus
6 + years of data analytics experience
Proficiency in using technologies such as SQL and SAS
Strategic thinking and planning capabilities
Organized and detail-oriented
2 or more years of direct leadership experience
Experience in defining and executing measurement programs
Experience with advanced analytics, including forecasting
Excellent verbal and written communication
Able to articulate and present findings and insights to senior leadership
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Master's degree in Math, Statistics, Actuarial Science, Economics, or other quantitative focus
Proficiency in data visualization tools such as Power BI
Experience in healthcare or pharmacy analytics
Advanced experience in SAS, SQL, QlikView, Tableau, or Power BI
Scheduled Weekly Hours