Senior Attribution Analytics Informaticist

Humana; Louisville (KY); On-site; USD 98,000 - 134,000; Full time

Job summary

Humana in Louisville, KY is seeking a Senior Informaticist to coordinate with analytics, IT and business units to deliver insights and accountable models. The role involves developing algorithms, data analysis and automated reporting to support enterprise analytics.

You will design solutions, champion data quality, and translate business needs into technical specifications while communicating findings to senior leaders.

Qualifications

• Undergraduate degree required.
• 5+ years analytics, software/app development, testing, DB management or data warehousing.
• Proficiency with Microsoft Office suite (Word, Excel, Access, PowerPoint).
• Experience with large, complex data sets in big organizations.
• Ability to analyze data and create data visualizations for strategy.
• Experience in Agile environments.
• Healthcare data understanding and communication with leadership.

Responsibilities

• Consult with customers to understand business needs and translate to analytics solutions.
• Design and deliver automated user specifications ensuring quality and usability.
• Architect concepts, prototype, establish coding standards and automated tests.
• Deep-dive analysis of attribution model performance to identify trends/outliers.
• Provide analytical support for provider networks and engagement teams.
• Leverage data to answer questions about metric variances.
• Review and modify programming systems as needed.
• Document projects, processes and scripts clearly.
• Create reports and communicate findings to business partners and senior leaders.

Skills

Analytics

MS Office

Big data

Data visualization

Agile

Healthcare data

Communication

Education

Undergraduate degree

Tools

SQL

SAS

ASA

Power BI

Job description

Humana in Louisville, KY is seeking a Senior Informaticist to coordinate with analytics, IT and business units to deliver insights and accountable models. The role involves developing algorithms, data analysis and automated reporting to support enterprise analytics.

You will design solutions, champion data quality, and translate business needs into technical specifications while communicating findings to senior leaders.