NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News & World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health.
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Position Summary:
We have an exciting opportunity to join our team as a Predictive Analytics Analyst.
In this role, the successful candidate is responsible for leveraging advanced statistical and machine learning techniques to generate actionable insights from HR and business data. This role designs and develops predictive models (e.g., for performance, turnover, and hiring outcomes), automates data integration between spreadsheets and HR systems, and builds robust data pipelines to ensure timely, accurate reporting. Partnering closely with HR and cross-functional teams, the analyst translates complex analyses into clear, practical recommendations that support workforce planning, talent strategies, and organizational performance. The position requires strong technical skills in Python/R and relational databases, a solid grounding in statistics and data science, and the ability to communicate insights effectively to non-technical stakeholders while driving continuous improvement in People Analytics methodologies and practices.
Job Responsibilities:
Minimum Qualifications:
To qualify you must have a Bachelor's Degree is required. Strong preference in Statistics, Mathematics, Computer Science, Data Science, Economics, industrial/systems engineering, information management, epidemiology, or other related quantitative skills. 3 or more years of experience in predictive modeling and data mining using large and complex datasets; experience in People Analytics / HR analytics strongly preferred (experience in other analytics-heavy domains such as insurance, financial services, or retail is also valuable). Hands-on experience with Python, R, SQL, cloud platforms, and machine learning. Hands-on experience building predictive models (e.g., linear and logistic regression, GLM, decision trees, cluster analysis, principal components, feature creation and validation) using Python and/or R. Experience leading or contributing to cross-functional analytics projects, coordinating data pipelines, modeling workstreams, and stakeholder communication. Data visualization and dashboarding (e.g., Power BI, Tableau, or similar). Strong written and verbal communication skills for explaining complex analyses to non-technical stakeholders.
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.
At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Langone Health provides a salary range to comply with the New York State Pay Transparency Law. The salary range for the role is $110,000.00 – $130,000.00 annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay, or other forms of compensation or benefits.
NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
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NYU Langone Medical Center, a world-class, patient-centered, integrated, academic medical center, is one of the nation’s premier centers for excellence in clinical care, biomedical research and medical education. Located in the heart of Manhattan, NYU Langone is composed of four hospitals: Tisch Hospital, its flagship acute care facility; the Hospital for Joint Diseases, one of only five hospitals in the nation dedicated to orthopaedics and rheumatology; Hassenfeld Pediatric Center, a comprehensive pediatric hospital supporting a full array of children’s health services; and the Rusk Institute of Rehabilitation Medicine, the world’s first university-affiliated facility devoted entirely to rehabilitation medicine--plus NYU School of Medicine, which since 1841 has trained thousands of physicians and scientists who have helped to shape the course of medical history. The medical center’s tri-fold mission to serve, teach and discover is achieved 365 days a year through the seamless integration of a culture devoted to excellence in patient care, education and research. For more information, go to NYULMC.org.