Financial Analytics Professional

Humana

7d • $66,800 - $91,100 • Remote

About The Position

The Financial Analytics Professional 2 manages data to support and influence decisions on day-to-day operations, strategic planning and specific business performance issues. You may possess a financial, actuarial, mathematics, or statistics background for this role. The Financial Analytics Professional 2 within the Medicare Risk Adjustment Finance Department supports financial forecasting, performance monitoring, and strategic decision-making through the development, execution, and maintenance of risk score analytics. You will be responsible for running a monthly risk score model to predict current-year risk scores, updating reporting displays with model results, and identifying month-over-month drivers of change. You will use tools such as SQL, Python, and Visual Studio Code to perform modeling, analyze results, and maintain model accuracy over time. You will translate findings into clear insights and communicates the financial impact of risk score changes to business partners and leadership. You will also support ongoing model enhancement by identifying outdated assumptions and incorporating updated data or methodology. The ideal candidate combines strong technical skills, attention to detail, and the ability to explain complex model outputs in a business-relevant way.

Requirements

• Bachelor's Degree
• 5 years' technical experience
• Programming skills in languages such as SQL and Python
• Experience in compiling, modeling, interpreting and analyzing data in order to identify, explain, influence variances and trends
• Explain variances and trends and enhance modeling techniques
• Experience in managing data to support and influence decisions on day-to-day operations, strategic planning and specific business performance issues

Nice To Haves

• Experience with Power BI

Responsibilities

• Running a monthly risk score model to predict current-year risk scores
• Updating reporting displays with model results
• Identifying month-over-month drivers of change
• Using tools such as SQL, Python, and Visual Studio Code to perform modeling, analyze results, and maintain model accuracy over time
• Translating findings into clear insights and communicating the financial impact of risk score changes to business partners and leadership
• Supporting ongoing model enhancement by identifying outdated assumptions and incorporating updated data or methodology

Benefits

• medical
• dental
• vision benefits
• 401(k) retirement savings plan
• time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
• short-term and long-term disability
• life insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level