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Humana Informatics Lead, HCPR in Overland Park, Kansas

Description

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.

Responsibilities

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.

Required Qualifications

  • 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

Preferred Qualifications

  • 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

40

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