Senior Business Data Analyst - Health Systems Operations
About The Position
At Memorial Sloan Kettering Cancer Center (MSK), our mission to end cancer for life relies on exceptional clinical care, groundbreaking research, and world-class operational excellence. The Epic Senior Business Data Analyst - Health Systems Operations plays a critical role in advancing MSK's Health System Operations through sophisticated analytics, scalable data solutions, and close partnerships across clinical, operational, and technology teams. This role blends full-stack data expertise with strategic insight to improve care delivery, support research, and enhance patient outcomes.
Requirements
- Proven experience working with Epic Clarity/Caboodle, clinical workflows, and revenue cycle datasets.
- Strong proficiency in SQL, Python, R, Tableau/Power BI, and modern data engineering practices.
- Demonstrated success building automated analytics solutions, data pipelines, and performance-optimized dashboards.
- Experience collaborating with clinical, operational, and technical teams on research, CDS, and AI-enabled initiatives.
- Advanced analytical problem-solving skills, with the ability to synthesize complex information into actionable insights
- Skilled in validating predictive models and conducting rigorous testing to ensure system integrity.
- Excellent communication and stakeholder-management abilities, with a collaborative, user-centered approach to analytics.
Responsibilities
- Analyze complex clinical, operational, and revenue data from Epic and non-Epic systems to uncover trends and improvement opportunities.
- Translate high-level business questions into analytical frameworks, KPIs, and actionable insights for Health System Operations leadership.
- Conduct cohort analyses, A/B testing, and time-to-event evaluations to assess the impact of operational and clinical initiatives.
- Develop automated dashboards and scorecards in Tableau or Power BI to support self-service analytics and operational decision-making.
- Serve as analytics lead for Health Systems research, Clinical Decision Support programs, and Epic AI model evaluation and monitoring.
- Build and maintain data dictionaries, technical specifications, reusable code libraries, and scalable data models.
- Lead robust testing and validation of data products, ensuring accuracy, reliability, and alignment with clinical workflows.
- Support Epic upgrade cycles, monitor reporting impacts, and identify opportunities to automate and streamline reporting processes.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Hospitals
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
