Manager, Performance Analytics

Role Overview

The Manager, Performance Analytics position is a pivotal role within a healthcare-focused organization based in the United States. This role demands ownership over data pipelines, development of measurement frameworks, and management of reporting processes that aid in identifying healthcare gaps, tracking outcomes, and supporting client success. It requires deep expertise in healthcare analytics along with operational responsibility, emphasizing accuracy and transforming complex data into practical insights.

Key Responsibilities

• Maintain and continuously optimize the analytics pipeline, covering intake, processing, and analysis of healthcare claims, eligibility files, reconciliation data, and other relevant datasets.
• Lead processes for identifying care gaps and evaluating which findings translate into actionable healthcare interventions.
• Oversee closure reconciliation processes including monthly cohort evaluations and performance reporting.
• Ensure precise billing reconciliation by validating program activities, analyzed data, and client reports against invoiced figures.
• Design and improve dashboards and funnel analytics to monitor progress from opportunity identification to physician engagement and posted outcomes.
• Conduct practice-level performance analyses to spot trends, risks, and opportunities for improvement or additional support.
• Develop scalable measurement procedures, documentation, and automated solutions jointly with Product and Engineering teams.
• Act as a reliable source of analytical insights for internal leadership, clients, and operational decision-making.

Candidate Requirements

• Substantial hands-on experience with healthcare claims data, including professional and institutional claim formats, diagnosis and procedure codes, member/provider identifiers, and eligibility data integrations.
• Strong knowledge of healthcare quality reporting, Medicare Advantage (MA) data processes, risk adjustment principles, and familiarity with MAO-004, CDI reporting, encounter data, or comparable frameworks.
• Demonstrated ability to perform complex data analysis independently utilizing SQL, Excel, pivot tables, and similar analytical tools to distill actionable business insights from vast datasets.
• Strong analytical precision and commitment to data accuracy, especially where reporting influences financial, operational, or client outcomes.
• A methodological, hypothesis-driven problem-solving approach capable of investigating issues, verifying results, and clearly communicating recommendations.
• Understanding of value-based care models, care-gap economics, and the measurable clinical and financial impact of healthcare interventions.
• Capability to work independently and effectively in a scaling environment with significant ownership and visibility.
• Excellent communication skills enabling collaboration with technical teams, operational staff, and executives.
• Openness to adopting AI-powered and modern technologies to enhance productivity and decision-making.

Benefits and Compensation

• Competitive salary ranging from $130,000 to $160,000 annually, complemented by a discretionary bonus and comprehensive benefits package.
• Multiple medical insurance plans including options with full premium coverage for employees and dependents.
• Dental and vision insurance coverage.
• Flexible paid time-off policies depending on employment classification.
• Paid sick leave as required by state laws.
• Twelve weeks of paid parental leave.
• 12 company paid holidays plus additional wellness days.
• 401(k) retirement plan with company contributions.
• Annual stipend for professional development including courses and educational materials.
• Annual wellness stipend supporting physical fitness, mental health, and other well-being activities.
• Remote work flexibility and environment.

Additional Information

This position is posted on behalf of a partner company responsible for managing all applications and subsequent hiring procedures. The recruitment process utilizes AI-assisted matching technology to ensure fair, speedy, and objective evaluation. Final hiring decisions rest solely with the employer. Personal data processing complies with relevant data protection regulations including GDPR. AI tools may assist in resume and application review but do not replace human judgment.