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