Clinical Data AnalystThe 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 ResponsibilitiesExtract, 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 ExcelSupport 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 insightsEnsure data accuracy, integrity, and consistency across reporting platformsAssist in regulatory and compliance reporting (e.g., HCAI, CMS, internal audits)Identify trends, anomalies, and opportunities for process improvementSupport data requests from leadership, departments, and external stakeholdersDocument reporting processes, data definitions, and workflowsParticipate in data validation, testing, and system upgrades (e.g., EHR enhancements, migrations)Required QualificationsBachelor's degree (Masters preferred)Minimum 1 year of experience in data analysis (healthcare experience preferred)Proficiency in SQL for data extraction and manipulationExperience with reporting/visualization tools (e.g., Power BI, or similar)Strong analytical and problem-solving skillsAdvanced Excel skills (pivot tables, formulas, data analysis)Ability to communicate data insights clearly to non-technical stakeholdersPreferred QualificationsExperience working with EHR systems such as Paragon, Epic Systems, or CernerKnowledge 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 environmentUnderstanding of data governance and data quality best practices