Senior Healthcare Payer Performance Analyst [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Healthcare Payer Performance Analyst based in United States.

This is a senior analytical role focused on improving payer performance, reimbursement accuracy, and healthcare contract outcomes.
You’ll work with complex claims, contracts, fee schedules, and payment data to uncover trends, discrepancies, and financial opportunities.
The role combines healthcare reimbursement expertise with advanced data analysis and business problem-solving.
You’ll independently lead analytical workstreams, perform root-cause investigations, and translate findings into practical recommendations.
You’ll collaborate closely with contracting, reimbursement, operations, analytics, leadership, and client-facing teams.
The position offers a remote environment with opportunities to influence important financial and operational decisions across healthcare organizations.
It is well suited to an experienced healthcare analyst who enjoys turning complex data into clear, actionable business insight.

Accountabilities:

• Analyze physician, facility, and ancillary contracts, claims data, fee schedules, and reimbursement outcomes to support contract management, modeling, performance monitoring, and issue resolution.
• Identify trends, variances, discrepancies, and financial or operational impacts related to payer contract performance and reimbursement accuracy.
• Conduct detailed root-cause analysis using contract requirements, claim information, payment data, and operational workflows to distinguish configuration, interpretation, reimbursement, and claims-processing issues.
• Use advanced Excel and other analytics or business intelligence tools to organize, validate, interpret, summarize, and communicate complex healthcare data.
• Lead analytical workstreams from investigation through recommendations, preparing clear deliverables and presenting conclusions to stakeholders, operational leaders, and other audiences.
• Partner with contracting, reimbursement, operations, analytics, and leadership teams to clarify requirements, resolve issues, and align contract terms, data outputs, and operational processes.
• Translate complex analytical findings into actionable recommendations that support better financial performance, operational effectiveness, and reimbursement accuracy.
• Manage multiple high-complexity assignments independently while maintaining accuracy, attention to detail, sound judgment, and timely delivery.
• Communicate risks, findings, trends, and recommendations clearly to both technical and non-technical stakeholders.

Requirements

• Bachelor’s degree in healthcare administration, business, finance, or a related discipline.
• 5–7+ years of experience in healthcare data analysis, reimbursement analytics, contract management, managed care, revenue cycle, payer/provider contracting, or a related healthcare operations environment.
• Strong understanding of healthcare reimbursement, provider and payer contract language, fee schedules, contract interpretation, and how contractual terms translate into payment and data outcomes.
• Demonstrated experience with payment variance analysis, root-cause analysis, and issue resolution within a healthcare environment.
• Advanced analytical and critical-thinking capabilities, including the ability to evaluate large or complex datasets and identify actionable insights.
• Strong knowledge of medical terminology and healthcare coding concepts, including CPT, HCPCS, ICD, and revenue codes.
• Advanced Microsoft Excel and Microsoft Office skills, with experience organizing, analyzing, validating, summarizing, and presenting data.
• Familiarity with business intelligence, reporting, or analytics platforms is preferred.
• Excellent written, verbal, communication, and presentation skills, with the ability to explain complex reimbursement, contractual, and data concepts to leadership and non-technical audiences.
• Strong business acumen, intellectual curiosity, and a structured approach to solving complex problems.
• Ability to work independently, exercise sound judgment, manage competing priorities, and communicate findings and recommendations effectively.
• Experience with FinThrive or Epic is a plus.
• Ability to work remotely within the United States; travel may be required up to 10% of the time.

Benefits

• Annual salary: $89,000–$148,000, with actual compensation based on skills, experience, training, certifications, and other organizational factors.
• Potential eligibility for a discretionary variable incentive bonus .
• Comprehensive medical, prescription, dental, and vision insurance .
• 401(k) retirement plan .
• Health Savings Account (HSA) and Flexible Spending Accounts for healthcare and dependent care.
• Basic and supplemental life insurance .
• Short-term and long-term disability coverage .
• Parental leave , personal and family sick time, and company-paid holidays.
• Tuition reimbursement , professional development, learning opportunities, and skills development and certifications.
• Employee referral program and corporate-sponsored events and community outreach.
• Emergency back-up childcare support.
• Remote work from anywhere in the United States.
• Supportive and inclusive workplace with opportunities to contribute to complex healthcare transformation and analytics initiatives.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.