Data Integration & Quality
• Pull, combine, and reconcile data from multiple platforms into unified analyses
• Scope includes data supporting engagement, clinical programs, clinical documentation, and care team access/productivity
• QC data across sources to identify inconsistencies, gaps, or errors, and resolve or escalate data integrity issues as needed
• Maintain documentation of data sources, definitions, and report logic to ensure consistency across analyses
• Build and maintain datasets to analyze care team productivity, call volumes/handling, and EHR-based workflow data across practice-partner sites
• Design, build, and maintain recurring dashboards and reports that track key operational metrics over time
• Identify drivers of performance variation across teams, sites, and roles
• Generate clear, actionable insights from complex, multi-source datasets and present them to both technical and non-technical audiences, including clinic-level operators and senior leadership
• Gather requirements from clinical operations leadership and translate them into specific, actionable analyses
Automation & Process Improvement
• To address all of the above responsibilities efficiently, individual should leverage modern tools and techniques (e.g., Excel Power Query, SQL, Claude)
• Identify opportunities to streamline and automate recurring analyses and scale reporting capacity across the organization