We are seeking a detail-oriented and analytical Health Data Analyst to join our team. In this role, you will collect, analyze, and interpret healthcare data to support decision-making, improve patient outcomes, and optimize operational performance. The ideal candidate combines strong technical skills with an understanding of healthcare systems, clinical workflows, and data standards.

Key Responsibilities

• Collect, clean, validate, and analyze healthcare data from various sources (EHRs, claims, registries, surveys, public health databases, etc.).
• Develop dashboards, reports, and visualizations to communicate insights to clinical, operational, and executive stakeholders.
• Conduct statistical analyses to identify trends, measure performance, and support quality improvement initiatives.
• Support population health analytics, including risk stratification, outcomes measurement, and cost/utilization analysis.
• Ensure data integrity, accuracy, and compliance with privacy regulations (HIPAA, PHI protection).
• Collaborate with clinicians, IT teams, data engineers, and administrators to define data needs and translate requirements into analytical solutions.
• Assist in developing predictive models, cohort definitions, and health analytics algorithms.
• Monitor key performance indicators (KPIs) related to clinical care, financial performance, and population health programs.
• Document methodologies, data sources, and workflows for transparency and reproducibility.

Qualifications

• Bachelor’s or Master’s degree in Health Informatics, Public Health, Data Science, Statistics, Computer Science, or related field.
• Experience working with healthcare datasets and data standards (ICD, CPT, SNOMED, HL7, FHIR).
• Strong proficiency in data analysis and visualization tools (e.g., SQL, Excel, Power BI, Tableau).
• Experience with statistical programming languages (Python, R, or SAS) preferred.
• Knowledge of healthcare operations, quality metrics, and regulatory reporting (e.g., HEDIS, CMS, Joint Commission).
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and manage multiple projects simultaneously.

Preferred Skills

• Experience in population health, value-based care, or health outcomes research.
• Familiarity with machine learning techniques and predictive analytics.
• Experience in a hospital, health system, public health agency, payer, or healthcare analytics company.
• Knowledge of data governance, interoperability, and health information systems.
• Ability to translate complex data into actionable insights for non-technical audiences.

What We Offer

• Flexible work environment (remote/hybrid options, based on organization).
• Competitive salary and benefits package.
• Opportunities for training, certification, and career advancement.
• Impact-driven work that supports better healthcare delivery and patient outcomes.