Data Analyst - Clinical Data Completeness

Company: Counterpart Health
Location: Remote
Salary: $77,000—$100,000 USD

About Counterpart Health

Counterpart Health is an AI-powered physician enablement platform that delivers critical clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, integrates seamlessly into clinician workflows and EHR systems, empowering care teams to achieve value-based outcomes, close care gaps, and proactively manage chronic diseases. As we expand our data ecosystem across legacy interoperability networks, QHIN/TEFCA connectivity, and direct HIE integrations, we require rigorous analytical ownership to ensure the clinical data powering our platform is complete, reliable, and actionable.

About the Role

As the Subject Matter Expert (SME) for clinical data completeness and effectiveness, you will be a key part of the Data Products pillar. This role demands end-to-end ownership of our clinical data lifecycle – understanding data origins, identifying points of failure, and assessing the performance of various vendors and integration pathways across our customer markets. Your analysis will directly influence vendor strategy, facility targeting, and data pipeline investments, ensuring the clinical evidence our care teams rely on is consistently available and trustworthy.

Responsibilities

• Proactively identify and monitor healthcare facilities that 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 (CCDA), and ADT messages to uncover systematic patterns of missingness, latency, or 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

• 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, enjoying the challenge of understanding 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.

Preferred Qualifications

• Experience with TEFCA/QHIN frameworks and evolving national interoperability standards.
• Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2).
• Background in value-based care, population health, or clinical data operations.
• Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records).
• Comfort working with Python or similar tools for data manipulation and automation.

Benefits Overview

• Financial Well-Being: Competitive base salary, equity opportunities, performance-based bonus program, 401k matching, and regular compensation reviews.
• Physical Well-Being: Comprehensive medical, dental, and vision coverage.
• Mental Well-Being: No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy.
• Professional Development: Learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
• Additional Perks: Employee Stock Purchase Plan (ESPP), reimbursement for office setup expenses, monthly cell phone & internet stipend, remote-first culture, paid parental leave, and more.

About Clover Health

Counterpart Health is a subsidiary of Clover Health. Clover Health was founded in 2018 with the goal of building an AI-enabled solution to assist physicians in the earlier diagnosis and management of chronic conditions. Thousands of practitioners now use Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care. We are a team of value-based care and technology experts driving value-based care at the speed of software.

Counterpart Health is an Equal Opportunity Employer committed to diversity and inclusion. We value diverse strengths, experiences, perspectives, opinions, and backgrounds.