Senior Financial Reporting & Data Analytics Specialist

Humana; Seattle (WA); Hybrid; USD 86,000 - 119,000; Full time

Benefits offered by this job

Medical, dental and vision benefits

401(k) retirement savings plan

Paid time off

Disability insurance

Life insurance

Job summary

Humana is seeking a Senior Financial Reporting Professional in Louisville, KY. The role focuses on preparing and distributing periodic financial statements for external users and supporting Medicaid state reporting with data consolidation, reconciliation, and submission.

You will collaborate with data partners using SQL, Databricks, or similar tools. This position requires 5+ years of experience with large datasets, solid SQL/querying skills, and strong Excel proficiency.

Qualifications

• 5+ years of experience working with large datasets, querying, or consolidation of results for reporting.
• Exposure to SQL or querying tools.
• Moderate experience with Microsoft Office products, primarily Excel, Word, PowerPoint.
• 2+ years of experience with financial reporting and/or data analysis.

Responsibilities

• Prepare and distribute periodic financial statements for external users.
• Support external financial reporting for Medicaid states, including data consolidation, preparation, reconciliation, and submission.
• Assist with data analysis for internal and external data partners using data tools.
• Ensure reports comply with applicable government regulations and organization policies.
• Make decisions on moderately complex to complex issues regarding technical approaches.

Skills

SQL querying

Excel

Data analysis

Reporting

Education

Bachelor's degree

Tools

Databricks

Job description

Humana is seeking a Senior Financial Reporting Professional in Louisville, KY. The role focuses on preparing and distributing periodic financial statements for external users and supporting Medicaid state reporting with data consolidation, reconciliation, and submission.

You will collaborate with data partners using SQL, Databricks, or similar tools. This position requires 5+ years of experience with large datasets, solid SQL/querying skills, and strong Excel proficiency.