Scan your resume against ATS criteria for this Data Analyst, Clinical Data Effectiveness role at Cloverhealth.
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.
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,
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.
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.
5+ 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.
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.
Additional Perks:
Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
Reimbursement for office setup expenses
Monthly cell phone & internet stipend
Remote-first culture, enabling collaboration with global teams
Paid parental leave for all new parents
And much more!
Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.
With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.
Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
#LI-REMOTE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are anhttps://e-verify.uscis.gov/esp/media/resourcesContents/E-Verify_Participation_Poster.pdf _ E-Verify company._
Perks:_
How to apply for Data Analyst, Clinical Data Effectiveness at Cloverhealth?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
5+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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