Demo

Billing Analyst

Soni
Toms River, NJ Full Time
POSTED ON 1/7/2026 CLOSED ON 1/15/2026

What are the responsibilities and job description for the Billing Analyst position at Soni?

Soni Resources is partnering with a non-profit, healthcare based organization near Brick, NJ, in the search for a Billing Analyst. This role will support the accuracy, efficiency, and integrity of the healthcare billing cycle through analytical review, reconciliation, and problem-solving. This role blends strong technical skills with a solid understanding of healthcare billing rules, enabling proactive identification of trends and discrepancies across high-volume billing data.


Responsibilities:

  • Perform detailed healthcare billing analysis, ensuring compliance with payer rules, billing guidelines, and organizational policies.
  • Conduct account reconciliations, identify discrepancies, and drive resolution of billing variances.
  • Build and maintain Excel-based reports and models (pivot tables, VLOOKUPs, formulas/functions) to support billing and revenue cycle operations.
  • Analyze billing trends, uncover root causes of anomalies, and present insights to leadership for process improvements.
  • Support special projects related to billing analytics, data integrity, and workflow optimization.
  • Partner with cross-functional teams (billing, RCM, finance, operations) to address issues and streamline processes.
  • Utilize EHR/EMR systems for data extraction, billing research, and validation (experience a plus).


Qualifications:

  • Strong understanding of healthcare billing processes, payer requirements, and reimbursement rules.
  • At least 5 years of billing experience at a Healthcare organization or Managed Care organization
  • Advanced Excel skills, including pivots, lookups, and complex formulas.
  • Experience with data analysis, financial or billing reconciliations, and discrepancy management.
  • Familiarity with EHR/EMR systems preferred.
  • Strong analytical mindset, attention to detail, and comfort working with large datasets.
  • Ability to communicate findings clearly and collaborate effectively across teams.



Compensation: $32 - $38/ Hr

Salary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.

Salary : $32 - $38

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