Data Analytics Analyst II

What you'll do

• Translate complex clinical and business questions from stakeholders into measurable outcomes and technical requirements.
• Develop and optimize complex SQL queries using Epic Clarity and other enterprise data sources.
• Build Python-based data pipelines to integrate, transform, and validate clinical, genomic, and operational data.
• Design and maintain dashboards, reports, and performance indicators to monitor program operations and patient journeys.
• Create analytic definitions and algorithms for identifying specific patient populations and clinical procedures.
• Evaluate data quality across multiple sources to identify discrepancies and ensure clinical validity.
• Communicate technical findings and data limitations to both clinical and non-technical audiences.
• Document data definitions, methodologies, and system characteristics to ensure reproducibility of results.

What we're looking for

• Bachelor's degree in computer science, data science, statistics, mathematics, health informatics, healthcare administration, or a related field.
• 5+ years of experience in healthcare analytics, clinical data analysis, business intelligence, health informatics, or a related field.
• Strong proficiency in SQL and experience working with relational healthcare data.
• Experience working with electronic health record data, preferably Epic/Clarity.
• Experience with Python, R, SAS, or another programming language used for data analysis and/or data engineering.
• Ability to communicate technical concepts and analytic findings effectively to clinical and nontechnical audiences.
• IHI certification (preferred).
• Epic Cogito certification (preferred).