Remote Senior Financial Analytics Lead – Data & Forecasting

Humana Inc; Lansing (MI); Remote; USD 89,000 - 121,000; Full time

Benefits offered by this job

Bonus incentive plan

Job summary

Humana Inc. is seeking a Senior Financial Analytics Professional to manage data for day-to-day operations, strategic planning and business performance issues.

You will lead data analysis, validation and CMS reporting for Individual Medicare Advantage Supplemental Benefits, owning data logic across multiple vendors and systems. You will influence department strategy, handle moderately complex to complex analyses, and drive automation to improve reporting efficiency and data quality while

Qualifications

• Bachelor's Degree is required.
• At least 5 years of technical experience with databases, reporting tools or dashboards.
• Experience compiling, modeling, interpreting data to identify variances and trends.
• Ability to explain variances and enhance modeling techniques.
• Experience with moderately complex to complex data analysis tasks.

Responsibilities

• Lead data analysis, validation and CMS reporting for Medicare Advantage Supplemental Benefits.
• Own supplemental benefit data logic across multiple vendors and systems.
• Support end-to-end data management for regulatory reporting, pricing and forecasting.
• Produce monthly Actual-to-Expected (A2E) reporting for performance management and variance analysis.
• Drive process improvements and automation in reporting, data quality and risk reduction.

Skills

Data analysis

Variance analysis

Database experience

Reporting tools

Education

Bachelor's Degree

Master's Degree

Tools

SQL

Excel

Job description

Humana Inc. is seeking a Senior Financial Analytics Professional to manage data for day-to-day operations, strategic planning and business performance issues.

You will lead data analysis, validation and CMS reporting for Individual Medicare Advantage Supplemental Benefits, owning data logic across multiple vendors and systems. You will influence department strategy, handle moderately complex to complex analyses, and drive automation to improve reporting efficiency and data quality while