Data Analyst, Clinical Data Effectiveness

About the role

Counterpart Health is an AI-powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we grow our data ecosystem, expanding across legacy interoperability networks, QHIN/TEFCA connectivity, and direct HIE integrations, we need rigorous analytical ownership to ensure the clinical data powering our platform is complete, reliable, and actionable.

Responsibilities

• Proactively identify and monitor which healthcare facilities consistently generate high-quality, usable clinical documents (e.g., EHRs, discharge summaries, procedure notes) to precisely locate and quantify data gaps.
• Conduct deep-dive analyses by mapping and correlating facility-specific data across disparate sources like structured claims, clinical care summaries (CCDAs), and ADT messages to uncover systematic patterns of missingness, latency, and incongruence in clinical records.
• Establish and maintain clear, transparent reporting on ADT coverage across key geographic, organizational, and technological dimensions (e.g., by county, facility, and underlying EMR system).
• Based on rigorous analysis of data flow and quality, recommend and guide the implementation of optimal technical configurations for existing data vendors (e.g., Bamboo Health, PCC, Experian, HSX).
• Conduct comprehensive evaluations and proof-of-concepts for potential new data integration technologies (e.g., Kno2 vs. Particle Health) to assess viability, quality improvements, and strategic fit.
• Systematically determine the existence and completeness of documentation associated with specific patient visits or encounters.
• Develop a data-driven framework for prioritizing facility targets for direct data acquisition, assessing impact, cost-effectiveness, and technical feasibility.
• Inform and guide vendor strategy around national initiatives such as TEFCA and QHIN adoption, ensuring Counterpart Health is positioned for compliant, high-quality data exchange.
• Partner cross-functionally with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data quality and clinical utility.
• Act as a critical liaison to identify and remove operational and technical bottlenecks, ensuring a predictable, scalable, and reliable clinical data flow across all customer markets.

Requirements

You should have 2+ years of hands-on data analytics experience, with direct exposure to healthcare data interoperability. Strong hands-on experience with healthcare data standards: HL7, CCDA, and ADT messages. Proficiency in SQL and comfort working with large, complex datasets (claims, clinical logs, interoperability data). Background in analyzing interoperability networks (e.g., Carequality, CommonWell, eHealthExchange) or HIE integrations. Skilled at data visualization and able to present complex findings to both technical and non-technical stakeholders. Strong investigative mindset, i.e., you enjoy digging into the “why” behind missing data and diverging metrics. Self-directed and able to manage multiple analytical projects (vendor comparisons, visit-level reconciliation) without constant supervision.