Data Analyst, Clinical Data Effectiveness

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.

You will serve as the Subject Matter Expert (SME) for clinical data completeness and effectiveness at Counterpart Health. Sitting within the Data Products pillar, this role owns the end-to-end understanding of our clinical data lifecycle: where data comes from, where it breaks down, and how each vendor or integration pathway performs across our customer markets. Your analysis will directly shape vendor strategy, facility targeting, and data pipeline investments, thus ensuring that the clinical evidence our care teams depend on is consistently available and trustworthy.

, 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, Experience with TEFCA/QHIN frameworks and evolving national interoperability standards. , Bamboo Health, HSX, Particle Health, Kno2).

Background in value-based care, population health, or clinical data operations. , matching EOBs to clinical encounter records). Comfort working with Python or similar tools for data manipulation and automation.

or incongruence in clinical records. , by county, facility, and underlying EMR system). , Bamboo Health, PCC, Experian, HSX).

, 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.

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. You should get in touch if you 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).