Institutional Data Analyst

Weill Cornell Medicine is seeking an Institutional Data Analyst to develop and deliver data-driven insights that support strategic decision-making. The role builds and maintains reporting solutions, ensures data accuracy, and provides analyses aligned with institutional goals in collaboration with finance, academic, and operational stakeholders.

Responsibilities

• Create complex standard and ad hoc reports using advanced techniques (e.g., DAX, drill-through functionality, and custom layouts) to meet diverse business needs
• Develop expertise and apply knowledge of higher education fund and general ledger data to support reporting, forecasting, and institutional performance tracking
• Apply knowledge of institutional operations - including budgeting, research, clinical, academic, and education functions – to deliver relevant and insightful analyses
• Collaborate with stakeholders to gather, document, and validate reporting requirements, translating business needs into actionable data solutions
• Design, develop, and maintain reporting infrastructure, dashboards, and visualizations using BI tools such as Power BI and Tableau to support institutional decision-making
• Maintain and enhance existing reporting workflows, identifying opportunities for automation, efficiency, and improved usability
• Integrate, clean, and transform data from multiple sources using tools such as SQL and Python ensuring accuracy, consistency, and optimal performance
• Produce clear technical documentation and provide end-user support, while managing multiple priorities and collaborating across teams to deliver high-quality outcomes
• Participate in institutional data collection, review, analysis, and submission of reports for various surveys, including IPEDS, AAMC, LCME, and more
• Perform other related duties as assigned

Preferred

• Budget subject matter experience preferred
• Budget Expertise

Company

• Academic medical institution providing patient care, research, and physician education
• New York, New York, USA
• https://careers.weill.cornell.edu/
• Founded in 1898
• 5001-10000 employees

Qualifications

• Bachelor's degree in math, statistics, computer science or related technical field
• Approximately 3-5 years' experience as a Data Analyst with direct professional experience with Python (Pandas, Numpy, similar libraries), modeling and visualization with Power BI and Tableau, metrics customization with DAX and VizQL
• Experience accessing, cleansing and performing analysis from one or more of the following sources: transactional tables, OLAP data models, BI data marts, SQL-based data warehouses, semi-structured/unstructured data environments
• Experience outlining objectives, forming hypotheses, and carrying out analysis to drive measurable business impact
• Demonstrated implementation of critical thinking, initiative, and ability to manage multiple responsibilities in a fast-paced work environment
• Ability to adjust and adapt to satisfy multiple priorities
• Budget subject matter experience preferred
• Approximately 3-5 years’ experience as a Data Analyst with direct professional experience with Python (Pandas, Numpy, similar libraries), modeling and visualization with Power BI and Tableau, metrics customization with DAX and VizQL

Required skills

• Budget Analysis, DAX, Data Modeling, NumPy, OLAP Data Models, Pandas, Power BI, Python, SQL Data Warehousing, Tableau, VizQL

Preferred skills

• (146), (151), (171), (198), (201), *2026, 2020, 2021, 2022, 2023, 2024, 2025, 3.8, 71, Accounting and Finance, Budget subject matter experience preferred, Customer Service and Support, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Education and Training, Engineering and Development, Glassdoor, H1B Sponsorship, Legal and Compliance, Management and Executive, Marketing, New York, New York, USA, Represents job field similar to this job, Trends of Total Sponsorships, https://careers.weill.cornell.edu

Experience

• 3-5 years