Public Health Advisor / Data Analyst
NYP/Weill Cornell Medical Center, United States
Applications have closed
NewYork-Presbyterian Hospital
NewYork-Presbyterian, a leading health system dedicated to groundbreaking research and innovative care, serves patients in the New York City area and beyond.Location
New York, New YorkShift:
Day (United States of America)Description:
Driving Change with Real-Time Data:
Public Health Advisor / Data Analyst
At NewYork-Presbyterian, 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. In this role, you are 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, you will be responsible for understanding and organizing data, and communicating directly with clinicians to discuss the analysis of their performance. You will manipulate, analyze, interpret and summarize data through presentations in order to facilitate decision making for stakeholders and communicate findings of analyses. You will perform data analysis, create dashboards, and present this information to providers. Utilize your strong interpersonal skills to provide frontline communication with clinicians.
May require occasional on-site presence; therefore, should live within a commutable distance. No relocation assistance available.
Preferred Criteria:
- Master’s degree
- Strong interpersonal skills
- Strong written and oral communication
- Familiarity with health care environment
Required Criteria:
- Bachelor’s Degree in Statistics, Mathematics, Economics, Public Health, Operations Research, Computer/Systems Engineering or related field
- At least 1 year 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, belonging, 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.
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- 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/AnnualIt 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 person. Join our team and discover where amazing works.
Tags: Business Intelligence Data analysis Data Mining Data visualization Economics Engineering Excel Mathematics Python R Research SAS SQL Statistics
Perks/benefits: Career development Competitive pay Health care
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