Clinical Data Analyst

Job Title: Sr. Healthcare Data Analyst

Location: Arlington, VA (Hybrid)

Employment Type: Full-Time Contract

Position Summary

FTS is seeking an experienced Sr. Healthcare Data Analyst to lead enterprise-level data initiatives supporting our healthcare analytics, population health, and clinical data management programs. This role will be responsible for designing, managing, and optimizing data frameworks that drive operational efficiency, regulatory compliance, and data-driven decision-making across healthcare delivery systems.

The ideal candidate has deep experience with healthcare data standards (HL7, FHIR, EDI X12, ICD-10, CPT, LOINC, SNOMED) and a strong understanding of data governance, interoperability, and analytics frameworks. You will work closely with cross-functional teams—including IT, clinical operations, and business intelligence—to ensure accurate, secure, and actionable insights from large-scale healthcare data sets.

Key Responsibilities

• Design and maintain enterprise data architecture and governance frameworks for clinical, claims, and patient-centric data systems.
• Collaborate with data stewards, clinicians, and business leaders to ensure data definitions and standards align with HEDIS, CMS, and NCQA quality measures.
• Develop and optimize ETL pipelines for healthcare data integration across EHR, claims, and public health systems using SQL, SSIS, and cloud-based platforms.
• Analyze, validate, and visualize key healthcare metrics to support outcomes reporting, utilization management, and value-based care initiatives.
• Ensure all deliverables adhere to HIPAA, HITECH, and data privacy/security requirements.
• Lead cross-functional data projects focused on population health analytics, patient risk stratification, and performance improvement.
• Build and maintain centralized documentation of data models, metadata, and lineage across multiple healthcare data sources.
• Translate clinical and operational requirements into scalable data solutions that support predictive modeling and advanced analytics.
• Support continuous improvement through automation, quality control, and implementation of healthcare data best practices.

Required Qualifications

• Bachelor’s degree in Health Informatics, Computer Science, Data Analytics, Public Health, or a related field (Master’s preferred).
• 5 years of experience in data analysis or data management, with 5 years focused on healthcare data (payer, provider, or health IT environments).
• Hands-on experience with SQL Server, SSIS, and Power BI for data integration, transformation, and visualization.
• Strong understanding of healthcare data standards such as HL7, FHIR, X12, ICD-10, CPT, and SNOMED.
• Proven ability to develop data governance policies, establish data quality frameworks, and support compliance initiatives.
• Familiarity with cloud platforms (Azure, AWS, or GCP) and distributed data environments.
• Experience supporting analytics in domains like clinical operations, revenue cycle, claims management, or population health.

Preferred Certifications

• Certified Health Data Analyst (CHDA), CBIP, or CDMP certification.
• TOGAF, DAMA, or other data architecture/governance certifications preferred.
• Epic Clarity or Caboodle certification a plus.

Skills & Competencies

• Deep understanding of data warehousing and healthcare interoperability.
• Strong knowledge of data integration design patterns and healthcare data modeling.
• Ability to manage and analyze large, complex datasets (10K–5M records).
• Proficiency in Python, R, or SQL for healthcare data analytics and reporting.
• Exceptional analytical, problem-solving, and communication skills.
• Proven ability to collaborate across technical and non-technical teams to deliver insights that improve patient outcomes.
• Commitment to accuracy, privacy, and continuous improvement in healthcare data practices.