Remote Medicare Analytics Specialist

Humana Inc; Denver (CO); Remote; USD 67,000 - 91,000; Full time

Job summary

Humana Inc. is seeking a Financial Analytics Professional 2 to manage data and inform decisions about daily operations, strategic planning, and business performance within the Medicare Risk Adjustment Finance Department.

The role develops reports for bids and budgets, analyzes regulatory changes, and supports Stars financial reporting, building strong relationships with business partners. The position requires proficiency in SAS, SQL, and Excel, with preferred Power BI and Databricks experience.

Qualifications

• Bachelor's degree required.
• 3+ years of technical experience.
• Programming skills in SQL and Python.
• Experience in compiling, modeling, interpreting and analyzing data to identify, explain, influence variances and trends.
• Experience in managing data to support and influence decisions on day-to-day operations, strategic planning and specific business performance issues.
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences.

Responsibilities

• Collaborates with colleagues in Stars Analytics and Medicare Risk Adjustment.
• Translates complex financial and nonfinancial data into concise, presentation-ready insights that support management decisions.
• Extracts raw data from multiple databases and summarizes it efficiently.
• Develops and maintains process documentation.
• Uses SAS, SQL, and Excel regularly.

Skills

SQL

Python

SAS

Excel

Education

Bachelor's Degree

Tools

Power BI

Databricks

Job description

Humana Inc. is seeking a Financial Analytics Professional 2 to manage data and inform decisions about daily operations, strategic planning, and business performance within the Medicare Risk Adjustment Finance Department.

The role develops reports for bids and budgets, analyzes regulatory changes, and supports Stars financial reporting, building strong relationships with business partners. The position requires proficiency in SAS, SQL, and Excel, with preferred Power BI and Databricks experience.