Healthcare Forensics Analyst - Payment Integrity

DaMar Staffing; Charlotte (NC); On-site; USD 65,000 - 85,000; Full time

Job summary

DaMar Staffing seeks an Experienced Associate in Healthcare Forensics to analyze and resolve payment inaccuracies in healthcare claims. You will investigate, identify improper payments, and support regulatory and litigation matters with data-driven findings.

The role requires 3+ years in healthcare consulting or related fields, familiarity with Medicare/Medicaid coding, and proficiency in Excel/SQL/SAS/Tableau. Strong communication and independent work habits are essential.

Qualifications

• Education: High School Diploma or equivalent; required.
• Bachelor's degree in Healthcare Administration, Public Health, or Business; preferred.
• Experience: 3 years in healthcare consulting, revenue cycle, or payment integrity; required.
• Software: Proficiency in data analysis tools (Excel, SQL, SAS, Tableau); preferred.
• Licenses/Certifications: active credential in coding or healthcare compliance as listed.

Responsibilities

• Provides investigation and analysis to clients, regulators, and others.
• Analyzes healthcare claims data to identify improper payments and potential fraud.
• Develops strategies to improve payment accuracy and mitigate overpayments.
• Interprets payer policies and contracts to assess claim appropriateness.
• Prepares detailed reports and recommendations for clients and stakeholders.

Skills

Analytical thinking

Attention to detail

Communication skills

Project management

Autonomy

Education

High School Diploma or equivalent

Bachelor's degree in Healthcare Administration, Public Health, or Business

Tools

Excel

SQL

SAS

Tableau

Job description

DaMar Staffing seeks an Experienced Associate in Healthcare Forensics to analyze and resolve payment inaccuracies in healthcare claims. You will investigate, identify improper payments, and support regulatory and litigation matters with data-driven findings.

The role requires 3+ years in healthcare consulting or related fields, familiarity with Medicare/Medicaid coding, and proficiency in Excel/SQL/SAS/Tableau. Strong communication and independent work habits are essential.