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
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Extract, analyze, and validate data from clinical systems (e.g., EHR, financial, operational systems)
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Develop and maintain reports and dashboards using tools such as Power BI, SQL, or Excel
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Support hospital operations through reporting on key metrics (e.g., DNFB, LOS, case mix index, patient volumes)
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Collaborate with clinical, finance, and operational teams to understand reporting needs and deliver actionable insights
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Ensure data accuracy, integrity, and consistency across reporting platforms
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Assist in regulatory and compliance reporting (e.g., HCAI, CMS, internal audits)
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Identify trends, anomalies, and opportunities for process improvement
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Support data requests from leadership, departments, and external stakeholders
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Document reporting processes, data definitions, and workflows
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Participate in data validation, testing, and system upgrades (e.g., EHR enhancements, migrations)
Required Qualifications
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Bachelor’s degree (Masters preferred)
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Minimum 1 year of experience in data analysis (healthcare experience preferred)
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Proficiency in SQL for data extraction and manipulation
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Experience with reporting/visualization tools (e.g., Power BI, or similar)
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Strong analytical and problem-solving skills
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Advanced Excel skills (pivot tables, formulas, data analysis)
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Ability to communicate data insights clearly to non-technical stakeholders
Preferred Qualifications
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Experience working with EHR systems such as Paragon, Epic Systems, or Cerner
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Knowledge of healthcare metrics (DNFB, LOS, readmissions, case mix index, etc.)
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Familiarity with healthcare regulatory reporting requirements (HCAI, CMS)
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Experience in a hospital or healthcare system environment
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Understanding of data governance and data quality best practices
