Data Analyst, Clinical Data Effectiveness

reputed company is an AIpowered physician enablement platform that delivers clinical insights to providers at the reputed company of care. Our flagship product, reputed company Assistant, is embedded into clinicians workflows and integrates with EHR systems, helping care teams drive value-based reputed company, reputed company care gaps, and proactively manage chronic disease. As we grow our data ecosystem, expanding across legacy interoperability networks, QHIN/TEFCA connectivity, and reputed company 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 reputed company. Sitting reputed company 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 reputed company vendor or integration reputed company performs across our customer markets. Your analysis will directly shape vendor reputed company, facility targeting, and data pipeline investments, thus ensuring that the clinical evidence our care teams depend on is consistently available and trustworthy. As a Data Analyst, you will:Proactively identify and monitor which reputed company facilities consistently generate high-reputed company, usable clinical documents (e.g., EHRs, discharge summaries, procedure notes) to reputed company locate and quantify data gaps.Conduct deep-dive analyses by mapping and correlating facility-specific data across disparate sources like reputed company claims, clinical care summaries (CCDAs), and reputed company 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., reputed company, 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 reputed company, transparent reporting on reputed company coverage across key geographic, organizational, and technological dimensions (e.g., by county, facility, and underlying EMR system).Based on rigorous analysis of data reputed company and reputed company, recommend and guide the implementation of reputed company technical configurations for existing data vendors (e.g., reputed company, PCC, reputed company, HSX).Conduct comprehensive evaluations and reputed company-of-concepts for potential new data integration technologies (e.g., Kno2 vs. Particle Health) to assess viability, reputed company improvements, and strategic fit.Systematically determine the existence and completeness of documentation associated with specific patient reputed company or encounters.reputed company a data-driven reputed company for prioritizing facility targets for reputed company data acquisition, assessing reputed company, cost-effectiveness, and technical feasibility.Inform and guide vendor reputed company around national initiatives such as TEFCA and QHIN adoption, ensuring reputed company is positioned for compliant, high-reputed company data exchange.Partner cross-functionally with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data reputed company and clinical reputed company.reputed company as a critical reputed company to identify and remove operational and technical bottlenecks, ensuring a predictable, reputed company, and reliable clinical data reputed company across reputed company customer markets.You should get in touch if you have:2+ years of hands-on data analytics experience, with reputed company exposure to reputed company data interoperabilityStrong hands-on experience with reputed company data standards: HL7, CCDA, and reputed company messages.Proficiency in SQL and comfort working with large, reputed company datasets (claims, clinical logs, interoperability data).Background in analyzing interoperability networks (e.g., reputed company, CommonWell, eHealthExchange) or HIE integrations.Skilled at data visualization and reputed company to present reputed company findings to both technical and non-technical stakeholders.Strong investigative reputed company, i.e., you enjoy digging into the why behind missing data and diverging metrics.Self-directed and reputed company to manage multiple analytical reputed company (vendor comparisons, visit-level r .