Analyst, Healthcare, Healthcare Compliance

Req #:

Category: Quality / Patient Safety

Status: Full-Time

Shift: Day

Facility: Clara Maass Medical Center

Department: Quality Resource Services

Pay Range: $70,000.00 - $91,000.00 per year

Location: 1 CLARA MAASS DRIVE, BELLEVILLE, NJ 07109

Job Title:

Analyst

Location:

Clara Maass Medical Center

Department Name:
Quality Resource Services

Req #:

Status:
Salaried

Shift: Day

Pay Range: $70,000.00 - $90,000.00 per year

The above reflects the anticipated annual salary range for this position if hired to work in New Jersey.

The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience.

Our Clinical Quality & Data Analysts support the organization’s commitment to improving patient outcomes, advancing healthcare quality, and maintaining regulatory and reporting standards. By collecting, validating, analyzing, and communicating clinical and operational data, this role helps identify opportunities for improvement and supports initiatives designed to enhance patient care and organizational performance. Working closely with the Director and interdisciplinary teams, the Clinical Quality & Data Analyst serves as a key resource for quality reporting, data management, performance monitoring, and clinical improvement initiatives, including efforts to improve CMS Star Ratings.

• Completing outcome reports, scorecards, and performance summaries to track and trend clinical quality outcomes.
• Preparing, submitting, and reporting selected hospital publicly reported data elements in accordance with organizational and regulatory requirements.
• Reviewing data validation reports and resolving identified errors, inconsistencies, and discrepancies to ensure data accuracy and integrity.
• Working closely with the Director on clinical data projects designed to improve patient outcomes, strengthen quality performance, and enhance CMS Star Ratings.
• Retrieving, collecting, organizing, and analyzing clinical and operational data to support quality improvement initiatives, regulatory compliance, and organizational goals.
• Utilizing computer hardware and software, including spreadsheets, presentation tools, project management applications, electronic medical records, and data management systems, to retrieve, analyze, validate, and report data.
• Working with the Director and multidisciplinary teams using databases and platforms such as Nuance, Vizient, Tableau, and Epic.
• Completing, maintaining, and submitting records, reports, statistical summaries, and other data deliverables for department leadership and key stakeholders.
• Assisting the Director in developing key clinical indicators for routine performance monitoring and communicating results to internal stakeholders.
• Identifying trends, patterns, and opportunities for improvement through the analysis of clinical and quality data.
• Assembling and preparing data to support quality improvement projects, regulatory requirements, accreditation standards, and organizational initiatives.
• Supporting the development, implementation, and monitoring of clinical quality improvement initiatives.
• Communicating data findings and performance results clearly and effectively through written reports, presentations, scorecards, and other reporting tools.
• Maintaining the confidentiality and security of patient, clinical, and organizational information in accordance with applicable policies and regulations.
• Completing special projects and other job-related assignments as directed by the Director.
• Maintaining professional competence and staying current with relevant quality, data management, regulatory, and healthcare practices.

• You are passionate about using healthcare data to improve patient outcomes and the quality of care.
• You enjoy working with data and are comfortable collecting, organizing, analyzing, validating, and presenting information.
• You have strong analytical skills and can identify meaningful trends, inconsistencies, and opportunities for improvement within complex datasets.
• You are comfortable working with spreadsheets, data analysis tools, presentation software, project management applications, and electronic medical records.
• You are detail-oriented and understand the importance of data accuracy when information is used for clinical decision-making, quality reporting, and regulatory compliance.
• You are able to communicate…