Position Summary

The Clinical Data Analyst is responsible for collecting, analyzing, and interpreting clinical and operational data to support informed decision-making across the organization. This role partners with clinical, operational, and IT teams to develop reports, dashboards, and insights that improve patient outcomes, operational efficiency, and regulatory compliance.

Key Responsibilities

Extract, analyze, and validate data from clinical systems (e.g., EHR, financial, operational systems)
Develop and maintain reports and dashboards using tools such as Power BI, SQL, or Excel
Support hospital operations through reporting on key metrics (e.g., DNFB, LOS, case mix index, patient volumes)
Collaborate with clinical, finance, and operational teams to understand reporting needs and deliver actionable insights
Ensure data accuracy, integrity, and consistency across reporting platforms
Assist in regulatory and compliance reporting (e.g., HCAI, CMS, internal audits)
Identify trends, anomalies, and opportunities for process improvement
Support data requests from leadership, departments, and external stakeholders
Document reporting processes, data definitions, and workflows
Participate in data validation, testing, and system upgrades (e.g., EHR enhancements, migrations)

Required Qualifications

Bachelor’s degree (Masters preferred)
Minimum 1 year of experience in data analysis (healthcare experience preferred)
Proficiency in SQL for data extraction and manipulation
Experience with reporting/visualization tools (e.g., Power BI, or similar)
Strong analytical and problem-solving skills
Advanced Excel skills (pivot tables, formulas, data analysis)
Ability to communicate data insights clearly to non-technical stakeholders

Preferred Qualifications

Experience working with EHR systems such as Paragon, Epic Systems, or Cerner
Knowledge of healthcare metrics (DNFB, LOS, readmissions, case mix index, etc.)
Familiarity with healthcare regulatory reporting requirements (HCAI, CMS)
Experience in a hospital or healthcare system environment
Understanding of data governance and data quality best practices

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