Senior Financial Analyst - Hybrid (Month-End & Compliance)

Health & Human Services; North Carolina; Hybrid; USD 55,000 - 97,000; Full time

Benefits offered by this job

Hybrid work option

Job summary

The North Carolina Department of Health and Human Services (DHHS) is seeking a Lead Financial Analyst within the Division of Health Benefits. The role focuses on coordinating month-end close, reconciliations, and regulatory reporting to ensure accuracy and compliance across complex financial processes.

Hybrid work option is available. The position requires a bachelor’s degree in accounting/finance and at least 1 year of related experience, with a strong emphasis on data analysis and process

Qualifications

• Bachelor's degree in accounting, banking, finance, business administration, economics, or related discipline with 1 year of directly related experience.
• Experience coordinating month-end close and regulatory reporting in a government or similar environment.
• Ability to analyze large financial datasets and improve financial workflows.

Responsibilities

• Coordinate month‑end close across functional areas for timely financial reporting.
• Execute reconciliations and review data for accuracy and compliance.
• Prepare and deliver regulatory and audit documentation.
• Identify workflow inefficiencies and implement internal controls.

Skills

Month-end close coordination

Regulatory reporting

Data analysis & reconciliation

Internal controls & process improv.

Mentoring staff (non-supervisory)

Education

Bachelor's degree in accounting, finance, business or related

Tools

Excel

Job description

The North Carolina Department of Health and Human Services (DHHS) is seeking a Lead Financial Analyst within the Division of Health Benefits. The role focuses on coordinating month-end close, reconciliations, and regulatory reporting to ensure accuracy and compliance across complex financial processes.

Hybrid work option is available. The position requires a bachelor’s degree in accounting/finance and at least 1 year of related experience, with a strong emphasis on data analysis and process