Population Health Data Analyst

Location

New York, New York

Shift:

Day (United States of America)

Description:

Driving Change with Real-Time Data:

Population Health Data Analyst

At NewYork-Presbyterian, Data Analysts are essential to our continued advancement. With each achievement, we demonstrate a commitment to excellence that’s both unwavering and unsurpassed. Now, you can help Make It Possible.

Healthcare reform and new paradigms in systems management have led to a substantial increase in the volume and variety of data at NYP over the last several years. The Analyst is responsible for assisting the transformation of clinical and operational processes by providing analytic insight on areas of improvement. This includes analyzing clinical and business flows to define opportunities for change, integrating multiple data systems across various departments and providing accurate, actionable information to key stakeholders.

In this role as an Analyst, you will execute assigned projects and deliverables to support analytic activities and improvement opportunities aimed at optimizing operational efficiency and highest quality patient care. You will coordinate and participate in the planning, definition, design, and implementation of all reports and applications in collaboration with appropriate stakeholders. You will manipulate, analyze, interpret and summarize data through presentations in order to facilitate decision making for stakeholders and communicate findings of analyses. In addition, you will be responsible for data extracts, statistical analyses, data transformations and presentation of relevant assessments related to quality of care, process metrics and outcomes measurements.

​ May require occasional on-site presence; therefore, should live within a commutable distance.  No relocation assistance available.

Preferred Criteria:

• Master’s degree
• Experience with PowerBI for data visualization software
• Familiarity with health care environment
• Ability to do predictive analytics and database management tasks

Required Criteria:

• Bachelor’s Degree in Statistics, Mathematics, Economics, Public Health, Operations Research, Computer/Systems Engineering or related field
• One to three years of experience in business intelligence reporting, data mining, data analysis, or statistical analysis
• Experience working with data mining, data discovery and/or modeling tools
• Experience analyzing and interpreting data; maintaining and managing large datasets, including ability to ensure the integrity of data
• Strong analytic skills and ability to use a variety of software such as Python, R, SAS, SQL, data visualization software, other related statistical programs, MS Excel, and MS Access
• Proficiency in Microsoft Word and PowerPoint presentation development
• Strong data exploration and visualization skills

Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture of respect, diversity, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today.

Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.

NYP will not reimburse for travel expenses.

__________________

• 2024 “Great Place To Work Certified”
• 2024 “America’s Best Large Employers” – Forbes
• 2024 “Best Places to Work in IT” – Computerworld
• 2023 “Best Employers for Women” – Forbes
• 2023 “Workplace Well-being Platinum Winner” – Aetna
• 2023 “America’s Best-In-State Employers” – Forbes
• “Silver HCM Excellence Award for Learning & Development” – Brandon Hall Group

NewYork-Presbyterian Hospital is an equal opportunity employer.

Salary Range:

$70,000-$92,000/Annual

It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every