Denials Optimization Analyst — Revenue Cycle Impact

Socket.dev; Belfast (ME); On-site; USD 50,000 - 86,000; Full time

Job summary

athenahealth is seeking a Denials Optimization Senior Analyst to join the Denials Optimization & Process Efficiencies team. You will support revenue cycle performance by analyzing denial trends, identifying root causes, and contributing to process improvements that reduce manual effort and improve KPIs across payer and client programs.

The role collaborates with Operations, BI, Training, Quality, and Technology to research payer-specific issues and develop targeted interventions.

Qualifications

• 1+ years in denial management, revenue cycle, or similar role.
• Experience analyzing data and supporting process improvements.
• Strong communication and collaboration skills.
• Exposure to payer workflows or denial categories.
• Familiarity with AI and data tools.

Responsibilities

• Analyze denial performance data, including payer-specific trends, to identify issues and drivers of denials
• Investigate root causes and support opportunities to improve payer outcomes and reduce rework
• Assist in developing and executing targeted interventions and workflow improvements
• Support payer-focused analyses and research to identify alternative approaches to resolving denial challenges
• Partner with cross-functional teams to support workflow updates and process improvements
• Communicate findings through clear summaries and reporting

Skills

Denials experience

Data analysis

Communication skills

Payer workflows

AI familiarity

Job description

athenahealth is seeking a Denials Optimization Senior Analyst to join the Denials Optimization & Process Efficiencies team. You will support revenue cycle performance by analyzing denial trends, identifying root causes, and contributing to process improvements that reduce manual effort and improve KPIs across payer and client programs.

The role collaborates with Operations, BI, Training, Quality, and Technology to research payer-specific issues and develop targeted interventions.