Business Intelligence Analyst II

Memorial Sloan Kettering Cancer Center•New York, NY

4d•Onsite

About The Position

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 pursue our mission at MSK and around the globe. Exciting Opportunity at MSK : Business Intelligence Analyst II We are seeking a Business Intelligence Analyst with strong technical skills, adept at applying them to real-world problems, and comfortable communicating complex topics to non-technical audiences. You will work to understand MSK’s internal dynamics as well as trends in the broader healthcare ecosystem, and you will partner with senior leadership to use your insights to shape MSK’s strategy. By helping MSK leadership make better strategic decisions, you will contribute to our legacy of innovation with lasting impact and help us achieve our mission of ending cancer for life.

Requirements

4-7 years of experience using analytics to impact key business decisions.
Proficiency using R (preferred) or Python to create reproducible data analyses.
Comfort working in relational databases and SQL.
The ability to develop production-grade dashboards using Shiny, Tableau, Power BI etc.
A critical thinker with strong attention to detail and the ability to manage multiple tasks and deadlines.
Excellent written and verbal communication skills.
Willing to act and eager to embrace new challenges.
Curiosity, self-motivation, and a strong desire to use your skills to help MSK’s leaders make better decisions.
The ability to choose the right technical approach for a question (from a statistical model to a dashboard and everything in between) and know that the simplest solution is often the best one.

Responsibilities

Serve as a critical thought partner to senior leadership.
Translate ambiguous business problems into structured questions that can be answered analytically.
Translate complex analyses back into a straightforward narrative that can be understood by business leaders.
Manage analytical projects from "question to answer", including problem framing, data collection and validation, exploratory analysis, statistical modeling, visualization, synthesis, and presentations.
Find creative approaches to answering questions that do not have a clear methodology or data source.