The Senior Data Analyst is responsible for building the performance measurement and analytics foundation that enables IntusCare’s Clinical Services organization to scale effectively, operate efficiently, and demonstrate measurable impact for clients. This role partners closely with Clinical Transformation leadership, the Chief Population Health Officer, and centralized Analytics to design KPI frameworks, build scalable reporting infrastructure, and translate data into actionable operational and strategic insights. The ideal candidate blends strong technical analytics capability with a deep understanding of healthcare services and value-based care, helping drive a data-informed operating model that improves clinical, financial, and operational outcomes. Partner with Clinical Transformation leadership and the Chief Population Health Officer to define core Clinical Services performance metrics across productivity, quality, ROI, clinical impact, and operational efficiency Design scalable, standardized reporting frameworks aligned with centralized analytics standards Develop KPI hierarchies spanning individual, team, service-line, and executive-level performance Ensure metrics align with financial performance, client outcomes, and overall service value Build and maintain dashboards and reporting tools that provide real-time operational visibility Partner with centralized Analytics and Data Engineering to ensure clean data pipelines and scalable architecture Reduce manual reporting through automation and systematization Create standardized reporting packages for internal leadership and customer-facing needs Develop standardized, scalable client reporting frameworks Support Services leadership in translating analytics into clear, client-ready narratives Ensure reporting is consistent, defensible, and automated wherever possible Identify opportunities to productize analytics deliverables Act as embedded liaison between Clinical Services and centralized Analytics teams Ensure alignment on metric definitions, governance, and data standards Collaborate with Product and Engineering when service workflows require new data capture or reporting capabilities Support analytics needs during new service launches and workflow redesigns Identify trends, bottlenecks, and optimization opportunities across service delivery Conduct deeper analyses to inform staffing models, pricing strategy, and operational efficiency Support scenario modeling and capacity forecasting Help build and evolve a data-driven operating model for Clinical Services