Business Intelligence Analyst II

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: 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.

Role Overview:

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.

Sample Projects:

• How can we use data to identify which of MSK's programs should grow? What are the barriers to growth for different programs, and can we develop a strategy to overcome them?
• For financial and resource planning, we need to model MSK's patient activity and resource needs over both the short term (1-2 years) and long term (10-15 years). How should we approach these projections? What different considerations are there in the short and long term? How should we handle uncertainty about the future both in our modeling and in communicating with leadership?
• How can we use external claims data to better understand patterns of care for cancer patients beyond just MSK? How can we use this information to direct MSK's strategy of which community providers to build partnerships with?

Key Qualifications:

• 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.

Core Skills:

• 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.

Additional Information:

• Location: 633 Third Avenue, NY
• Reporting to: Principal Business Intelligence Analyst, Strategy & Innovation
• Schedule: Onsite once a week
• Pay Range: $120,200 - $192,300

Helpful links:

• MSK's Compensation Philosophy
• Review our great benefits offerings

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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