Data Analyst, Clinical Data Effectiveness

About This Opportunity

Our talent team is representing a confidential healthcare technology client in their search for a Data Analyst, Clinical Data Effectiveness. This is a remote position based in the USA.

Our client operates at the intersection of clinical data and value-based care, building systems that help providers access meaningful insights at the point of care. As they expand their data ecosystem across interoperability networks and direct integrations, they need analytical leadership to ensure clinical data is complete, reliable, and actionable.

You will serve as the subject matter expert for clinical data completeness and effectiveness, owning the end-to-end understanding of the clinical data lifecycle. Your analysis will directly shape vendor strategy, facility targeting, and data pipeline investments.

Responsibilities

• Proactively identify and monitor which healthcare facilities consistently generate high-quality, usable clinical documents 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, and ADT messages to uncover systematic patterns of missingness, latency, or incongruence
• Establish and maintain clear, transparent reporting on ADT coverage across key geographic, organizational, and technological dimensions
• Recommend and guide implementation of optimal technical configurations for existing data vendors based on rigorous analysis of data flow and quality
• Conduct comprehensive evaluations and proof-of-concepts for potential new data integration technologies 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
• Partner cross-functionally with product managers, engineers, and clinical teams to define data requirements, implement reliable pipelines, and validate data quality
• Act as a critical liaison to identify and remove operational and technical bottlenecks, ensuring predictable, scalable, and reliable clinical data flow

What We're Looking For

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—you enjoy digging into the "why" behind missing data and diverging metrics
• Self-directed and able to manage multiple analytical projects without constant supervision

Preferred qualifications:

• Experience with TEFCA/QHIN frameworks and evolving national interoperability standards
• Familiarity with vendor-specific data exchange platforms
• Background in value-based care, population health, or clinical data operations
• Experience with claims-clinical data reconciliation
• Comfort working with Python or similar tools for data manipulation and automation

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will screen qualified applicants and coordinate interviews with our client. We'll support you throughout the process, from initial submission through offer negotiation. Please do not contact the employer directly—all communication is managed through our team to ensure a smooth, professional experience.

Pay

Pay via Get A Job.ai is not disclosed for this confidential search. Final compensation will be determined by our client based on internal equity, market data, and your education, work experience, and certifications.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applicants of all backgrounds and work with clients who share our commitment to diversity and equal opportunity employment.