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 its advanced knowledge of data, modeling, optimization, and tools to support Humana's Group Medicare and Commercial segments (Pharmacy) . Humana is looking for someone who is an excellent communicator to apply disciplined analytics to predict behavior and optimize programs and products.  Utilizes advanced or predictive modeling to develop, test and validate cases that improve the outcomes and quality of the programs we offer. Contributes to more innovative approaches to financial models as it builds knowledge of the business context in which it operates. Understands and analyzes complex data, articulates to various units within the company at the appropriate level, impacts the business from mathematical concepts which have a potentially sizeable dollar impact on the business. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.

Required Qualifications

• Bachelor's Degree
• 4 or more years of technical experience
• Proficiency in using technologies such as SQL and SAS
• Experience with formularies
• Strategic thinking and planning capabilities
• Organized and detail-oriented
• Experience in defining and executing measurement programs
• Experience with advanced analytics, including program evaluation and optimization
• 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

• Advanced Degree
• 2 or more years of leadership experience
• Advanced experience in SAS, SQL, Python, QlikView, Tableau, Hadoop or similar tools