Senior Healthcare Data Analyst - Analytics

Qualified Health is a company focused on transforming healthcare using Generative AI. They are seeking a Senior Healthcare Data Analyst to connect clinical workflows with data insights that demonstrate value to health system partners, utilizing expertise in clinical data and EHR systems.

Responsibilities:

• Develop reporting frameworks that quantify the clinical, operational, and financial impact of Qualified Health's products
• Build executive-level dashboards, analyses, and value reports that demonstrate ROI and customer outcomes
• Connect clinical data, utilization metrics, workflow performance, and operational KPIs to generate actionable insights
• Identify trends and opportunities that help customers understand the value generated through AI-driven interventions
• Translate complex clinical concepts and workflows into structured data models and reporting frameworks
• Leverage deep knowledge of Epic data structures to ensure accurate interpretation of source data and outcome measures
• Partner with customer clinical informatics and analytics teams to understand source systems, validate assumptions, and ensure reporting accuracy
• Reconcile data definitions across organizations and establish standardized approaches for outcome measurement
• Develop complex SQL queries to extract, transform, and analyze healthcare data across multiple sources
• Design analytical methodologies that connect patient-level clinical activity to measurable business outcomes
• Navigate large, complex healthcare datasets to uncover insights and answer strategic business questions
• Partner with data engineering teams to ensure data pipelines support reporting and analytics needs
• Establish quality assurance frameworks and validation processes to ensure reporting accuracy
• Develop and maintain data dictionaries, metric definitions, and reporting standards
• Monitor data quality and proactively identify issues that may impact analyses or customer reporting

Requirements:

• 5+ years of experience in healthcare data analysis with demonstrated expertise in clinical data mapping and EHR data structures
• Deep clinical domain knowledge including understanding of clinical workflows, medical terminology, and healthcare delivery processes
• Advanced SQL proficiency with experience writing complex queries against healthcare databases and EHR systems
• EHR Systems Expertise: Hands-on experience with Epic EHR platform is required. Exposure to other EHR platforms (Cerner, AllScripts, or NextGen) is helpful
• Healthcare Data Standards: Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems
• Data Quality Experience: Proven track record developing and implementing data validation frameworks and quality assurance processes
• Client-facing Skills: Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects
• Problem-solving Capabilities: Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats
• Communication Skills: Excellent written and verbal communication with ability to document complex mappings and present findings to varied technical and clinical audiences
• Bachelor's degree in Health Informatics, Healthcare Administration, Data Science, or related field
• Clinical Background: Clinical training, HIM certification, or formal healthcare informatics education
• FHIR Implementation Experience: Hands-on experience with FHIR mapping and transformation projects
• Epic Certification: Cogito, Caboodle, Clarity, or Chronicles training and certification
• Regulatory Knowledge: Understanding of HIPAA, HITECH, and healthcare data governance requirements
• Analytics Tools: Proficiency in Python, R, Tableau, or similar analytical platforms
• Project Management: Experience leading cross-functional data mapping initiatives
• Master's degree in relevant field
• Professional certifications in health informatics (RHIA, CHPS, or similar)