Senior Business Data Analyst - Health Systems Operations

Job details

About Us :

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission : ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe.

Exciting Opportunity at MSK : Epic SeniorBusinessDataAnalyst-Health Systems Operations

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 SeniorBusinessDataAnalyst-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.

Role Overview

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.

Key Qualifications

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.

Core Skills

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.

Additional Information

Location : Hybrid, 3 times a month in NYC with flexibility for additional days as needed

Reporting to VP, Epic Systems

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MSK Compensation Philosophy

Review Our Comprehensive Benefit Offerings

Pay Range : $133,500.00 - $220,400.00

FSLA Status : Exempt

Closing :

At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

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