Reimbursement Analytics Manager

About Us
 

Would you like to be part of a fast-growing team that believes no one should have to succumb to cancer? Naveris, a commercial stage precision oncology company based near Boston, MA, is looking for a Reimbursement Analytics Manager to help us deliver on our Mission to develop novel diagnostics that transform cancer detection and improve patient outcomes.  Our flagship test, NavDx, is a breakthrough blood-based DNA test for HPV-induced cancers, clinically proven and already trusted by tens of thousands of patients and physicians across the U.S.

Opportunity 

Naveris is seeking a Reimbursement Analytics Manager to join our Reimbursement team. This is a high-impact, individual contributor role ideal for a resourceful, analytical self-starter who thrives in a fast-paced, dynamic environment. 
This individual will own the end-to-end analytics function supporting Reimbursement and Leadership teams by independently analyzing data and delivering clear, actionable insights to drive trends, discrepancies, and for improvement in claims processing and revenue integrity. This role involves working with the entire Reimbursement department to optimize revenue, processes and ensure compliance. 

This is a remote role, with flexibility on location, that will require periodic travel.

Key Responsibilities

Reporting to the VP, RCM and Payer Engagement, the Reimbursement Analytics Manager will: 

• Analyze reimbursement data to identify trends, discrepancies, and opportunities for process improvement and revenue optimization.  
• Perform data analysis to inform commercial marketing investments and to assess the effectiveness of marketing campaigns
• Collaborate with the external RCM vendor to streamline processes and resolve issues related to reimbursement
• Collaborate with Finance, Market Access, and other internal departments to provide support as needed.
• Deliver timely reports, dashboards, and presentations to internal stakeholders
• Lead ad-hoc analytics initiatives and special projects to support Naveris’s evolving needs

The ideal candidate will bring:

• Bachelor’s degree in a relevant field (e.g., Business, Finance, Statistics, Data Science); MBA or advanced degree not required but a differentiator 
• 2+ years of hands-on experience with an RCM vendor and producing dashboards/operational reports out of their platform
• Proven ability to analyze large third-party reimbursement datasets and extract meaningful trends and implications
• Prior experience in the Lab Developed Test (LDT) or diagnostics industry strongly preferred, including basic knowledge of billing and reimbursement processes
• Self-starter mentality with the ability to operate independently, prioritize effectively, and deliver high-quality work without supervision
• Advanced proficiency in Xifin, Excel, Salesforce.com, Tableau (or similar BI tools)
• Strong communication skills with the ability to translate data into stories and influence cross- functional stakeholders
• High level of integrity, professionalism, and accountability
• Willingness to travel up to 20% (potentially more if remote), as needed to support key meetings and initiatives

Compliance Responsibilities

Health Insurance Portability and Accountability Act (HIPAA) is a federal law that describes the national standards to protect sensitive patient health information from being disclosed without the patient’s consent or knowledge. All roles at Naveris require compliance with legal and regulatory requirements of HIPAA and acceptance and adherence to all policies and standards at Naveris. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete HIPAA training when joining the company.

Naveris is an Equal Opportunity Employer

Naveris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We don’t just accept differences - we celebrate and support them. We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.