Revenue Cycle Data Analyst, Twin Health

• 5+ years of experience as a Data Analyst or similar roles, preferably in healthcare
• Knowledge of eligibility, CPT, HCPCS and ICD-10 medical coding
• Proficiency in interpreting and reconciling Explanation of Benefits (EOB)
• Experience with NetSuite, Tableau, and Revenue Cycle platforms
• Technical computer proficiency (Excel, Google Sheets, Google Docs)
• Excellent problem-solving skills with the ability to manage multiple priorities
• Strong communication skills for presenting insights and collaborating across teams
• Preferred Qualifications

Desirable

• Twin Health is expanding rapidly and we are seeking an experienced Revenue Cycle Data Analyst to join us and help support our billing operations team.
• In this role, you will provide critical support for our day to day billing operations including but not limited to: data reporting and analysis, billing integrity audits and dashboard and metrics developments.
• Your day to day objective is to facilitate data reporting requirements to enable data-driven decisions and in order for a timely and accurate billing activities.
• Your experience in revenue cycle claims management will be utilized heavily in ensuring payer accounts are in good standing while minimizing claims issues.
• You will also be customer service oriented in collaborating with our internal partner success teams in supporting our customers billing related needs and requirements
• Analyze large, complex datasets from various health information sources (e.g., claims, contracts, and operational data) to generate actionable insights
• Perform billing and claims payment integrity audits and identify trends
• Reconcile customer accounts, payment applications, accounting (NetSuite) and billing (Candid) systems
• Develop, validate and maintain accuracy of standard operating reports
• Generate ad-hoc analysis to address specific business needs
• Identify opportunities within processes to standardize and automate data collection and analysis
• Collaborate with product, engineering, and business teams to design and implement analytics solutions that address critical business needs
• Communicate complex findings in a clear and actionable way to both technical and non-technical stakeholders
• Research customer inquiries and facilitate reporting requests