Business Intelligence Analyst - Epic Revenue Cycle and Clinical Empty heading

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.

Business Intelligence Analyst – Epic Revenue Cycle and Clinical (Multiple openings)

• Analyze complex business problems and issues using data from internal and external sources to provide insight to decision-makers.
• Identify and interpret trends and patterns in datasets to locate influences.
• Construct forecasts, recommendations and strategic/tactical plans based on business data and market knowledge.
• Create specifications for reports and analysis based on business needs and data elements required or available.
• Provide consultation to users and lead cross‑functional teams to address business issues.
• Produce data sets and reports for analysis using system reporting tools.
• Identify project risks and impediments; notify management; proactively work with other members of the team to complete assigned tasks as defined by project scope and timelines.

• General revenue cycle experience required.
• Understanding of standard Epic Revenue Cycle operations and Epic Workflows.
• Certifications in Epic Modules relevant to Revenue Cycle (HB Resolute, PB Resolute, ect) good to have but not required.

• General Clinical reporting experience required.
• Understanding of standard Epic Radiology/clinical operations and Epic Workflows.
• Certifications in Epic Modules such as Clinical Data Model, Radiant, or Cupid good to have but not required.

• Epic Cogito, Clarity Data Model, and Caboodle Data Model Certifications required.
• Experience working in Healthcare data and analytics.
• Be a go‑getter and looking to grow.
• Proficiency in SQL programming, relational database design principles, and Power BI, Tableau or other data visualization & BI tools.
• Experience with Azure Databricks, DBT, R & Python programming is good to have (this would be covered by the Cogito Certification).
• Core
  
  Skills:
  
  Comfortable communicating with stakeholders within and external to MSK;
  Pose insightful questions to drive effective problem‑solving;
  Able to navigate ambiguity and work independently;
  Understand technical discussions at the task level and able to break down tasks to a step‑by‑step process.

• Schedule:
  
  9:00 AM – 5:00 PM EST, Monday – Friday
• Location:
  
  Hybrid – flexibility to come on site as needed at 633 Third Ave, NY, NY
• Reporting to:
  Associate Director, Analytics (Revenue) and Manager II, Data Analytics (Clinical)
• Pay Range: $ – $

• Compensation Philosophy
• Benefits

Pay Range: $99,800.00 – $
FSLA Status:
Exempt

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.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.