Senior Healthcare Data Analyst - Analytics

Qualified Health PBC

4d•$120,000 - $160,000•Hybrid

About The Position

Qualified Health is seeking a Senior Healthcare Data Analyst to help our customers and internal teams understand, measure, and communicate the impact of our AI-powered solutions. This role sits at the intersection of healthcare analytics, clinical informatics, and data strategy, serving as the critical link between clinical workflows, source data systems, and the insights that demonstrate value to our health system partners. You will work directly with clinical, technical, and operational stakeholders to translate healthcare data into meaningful measures of clinical, financial, and operational impact. A deep understanding of Epic and healthcare data structures is essential, as much of the evidence demonstrating Qualified Health's success originates from EHR systems and clinical source data. This is a highly visible role with the opportunity to influence product strategy, support customer success, contribute to new product development initiatives, and present insights that are consumed across the organization and by executive stakeholders at leading health systems.

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
Hands-on experience with Epic EHR platform is required.
Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems
Proven track record developing and implementing data validation frameworks and quality assurance processes
Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects
Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats
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

Nice To Haves

Clinical training, HIM certification, or formal healthcare informatics education
Hands-on experience with FHIR mapping and transformation projects
Cogito, Caboodle, Clarity, or Chronicles training and certification
Understanding of HIPAA, HITECH, and healthcare data governance requirements
Proficiency in Python, R, Tableau, or similar analytical platforms
Experience leading cross-functional data mapping initiatives
Master's degree in relevant field
Professional certifications in health informatics (RHIA, CHPS, or similar)
Exposure to other EHR platforms (Cerner, AllScripts, or NextGen) is helpful.

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.