Data Analyst
![]() | |
![]() United States, New York, Bronx | |
![]() | |
City/State: Bronx, New YorkGrant Funded: YesDepartment: CMO - WecareWork Shift: DayWork Days: MON-FRIScheduled Hours: 9 AM-5:30 PMScheduled Daily Hours: 7.5 HOURSPay Range: $60,000.00-$75,000.00Job Summary The WeCARE QA Data Analyst will assist the AD of QA and Training with the development of WeCARE workflows and quality improvement. The Quality Assurance Data Analyst's role is to support the AD of QA in the implementation of standard operation policies and procedures to ensure that UBA WeCARE complies with all NYC HRA contractual requirements. The QA Data Analyst will assist the AD of QA and Training in the overseeing of the training of new staff in MMC policies, HRA policies, and WeCARE program policies. The QA Data Analyst will assist the AD of QA and Training with customer satisfaction surveys for the program. Facilitate Quality Assurance training and in the development of related training materials for the UBA WeCARE Team. Key Responsibilities The Quality Assurance Data Analyst will assist in the monitoring of UBA-WeCARE program performance in all service areas and activities including monitoring client satisfaction. Coordinates with department/service tracks to set goals for improving client services and case record documentation Analyze data to identify trends in program performance, client engagement via the program audit tools and other designated monitoring tools Detect and address issues in audit tools and analyze results Will provide appropriate monitoring of services performed by subcontractors. The position is part of the Quality Assurance and Training department with specialization in supporting the work of UBA-WeCARE Qualifications
*Work locations required split time between the Bronx (Grand Concourse) and Queens (Union Hall Street) locations.* Montefiore Medical Center is an equal employment opportunity employer. Montefiore Medical Center will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law. |