Data Analyst, Clinical Data Effectiveness

Industriasa; United States; Hybride; USD 110 000 - 150 000; Plein temps

Avantages offerts par ce poste

Equity opportunities

Bonus program

401k matching

No-Meeting Fridays

Mental health resources

Flexible time-off

Comprehensive health benefits

Résumé du poste

Counterpart Health is seeking a data analytics SME to own the clinical data completeness lifecycle across vendor integrations and EHR interoperability efforts. You will map data sources, quantify gaps, and drive improvements in data reliability for the Counterpart Assistant platform.

You will collaborate with Product, Engineering, and Clinical teams to ensure high-quality data feeds, support TEFCA/QHIN initiatives, and guide vendor strategies.

Qualifications

• 2+ years of hands-on data analytics experience with healthcare data interoperability.
• Strong hands-on experience with HL7, CCDA, and ADT messages.
• Proficiency in SQL and comfortable with large, complex datasets (claims, clinical data).
• Experience with interoperability networks or HIE integrations.
• Skilled in data visualization and able to present findings to technical and non-technical stakeholders.
• Curious mindset with ability to investigate data gaps and metrics.

Responsabilités

• Identify and monitor facilities generating high-quality clinical documents and quantify data gaps.
• Map and correlate facility data across sources to uncover patterns of missingness and latency.
• Report ADT coverage across geographic, organizational, and tech dimensions.
• Recommend data‑vendor configurations based on data flow and quality analyses.
• Evaluate new data integration technologies for viability and fit.
• Assess documentation completeness for patient visits or encounters.
• Prioritize facility targets for direct data acquisition using data-driven frameworks.
• Guide vendor strategy for TEFCA and QHIN adoption.
• Collaborate with Product, Engineering, and Clinical teams to ensure data quality and utility.
• Remove operational bottlenecks to ensure scalable data flow across markets.

Connaissances

SQL

Data visualization

Python

Healthcare data interoperability

HL7/CCDA/ADT

Stakeholder communication

Outils

Tableau

Power BI

Description du poste

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.

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.

Required Qualifications

• 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.

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: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance‑based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.

Physical Well-Being: We prioritize the health and well‑being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.

Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work‑life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time‑off policy. Additionall…