qualified-health-pbc - Senior Healthcare Data Analyst - Analytics
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
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) • TECHNICAL ENVIRONMENT: • You'll work with healthcare data from diverse sources including: • Epic (Clarity, Chronicles, FHIR APIs) • Cerner, AllScripts, and other major EHR platforms • Claims data (CMS, commercial payers) • Clinical registries and specialty systems • FHIR R4 and legacy HL7 formats • IMPACT & GROWTH OPPORTUNITY: • As a Senior Healthcare Data Analyst at Qualified Health, you'll directly influence how our AI platform interprets and leverages clinical data from major health systems. Your expertise in clinical data mapping will be fundamental to ensuring our platform delivers accurate, meaningful insights that improve patient care. This role offers significant growth potential as we expand across diverse healthcare organizations and clinical use cases.
Responsibilities
• Analytics & Value Measurement • 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. • Clinical Data & Epic Expertise • 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. • Data Analysis & Query Development • 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. • Data Quality & Governance • 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.
Benefits
• This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. • Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. • Our Commitment to Diversity
No credit card. Takes 10 seconds.