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Sr Data Analyst

Rochester Open · verified Oct 24, 2026
Strong Memorial Hospital Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Rochester. Strong Memorial Hospital · full-time · $64,200–$96,200 base.

SalaryStated by Rochester
$64,200 – $96,200
Base salary for this role, in USD per year, as published in the posting.
RoleData Analysis & BI
SenioritySenior
LocationStrong Memorial Hospital
EmploymentFull-time
Base pay$64,200–$96,200
PostedAug 4, 2026 · 2mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Maintain transplant quality databases and dashboards, checking data and adjusting fields to meet clinicians’ needs
  • Analyze transplant outcomes and survival data, then prepare reports with findings and recommendations for the clinical team
  • Work with clinicians on quality improvement projects, from defining the work through data collection, analysis and reporting
  • Coordinate transplant quality reviews and meetings, track action plans, and flag serious events to quality leaders
  • Review compliance with transplant standards and keep program policies current with applicable regulations

What you bring

  • A bachelor’s degree and five years of relevant experience, or an equivalent mix of education and experience
  • Experience using Tableau, Power BI or a comparable data visualization tool
  • A strong grasp of statistical analysis and predictive modeling
  • You can turn complex data into useful recommendations and explain findings clearly in writing and presentations

Who this fits

This senior role suits an analyst who can combine statistical work with transplant quality reporting, regulatory compliance and collaboration with clinical teams. The job is based at Strong Memorial Hospital in Rochester, follows a daytime shift and is scheduled for forty hours weekly. The stated annual pay range is $64,200 to $96,200.

From the employer

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

601 Elmwood Ave, Rochester, New York, United States of America, 14642

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

500145 Solid Organ Transplant SMH

Work Shift:

UR - Day (United States of America)

Range:

UR URG 111

Compensation Range:

$64,200.00 - $96,200.00

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities:

The Quality and Information Analyst is responsible for maintaining and updating the transplant quality databases and conducting quality improvement projects by working with the clinical team to help them outline a project, gather and analyze data and prepare reports. Additionally, serves as the transplant quality assurance liaison, which includes facilitating quality meetings, and helping to ensure the division follows governmental, departmental and hospital QA regulations through compliance reporting and policy creation/updates.

ESSENTIAL FUNCTIONS

Monitoring, reporting, and implementation of performance improvement activities

  • Coordinates the ongoing development, implementation and monitoring of the Transplant Program Quality Assurance/Quality Improvement program as outlined by CMS, the Department of Surgery, the Department of Medicine and the SMH Quality Assessment and Performance Improvement Plan
  • Recommends quality and performance improvement opportunities based on, trends detected from the dashboard and clinical, administrative and financial databases, hospital and department goals and national benchmarks.
  • Participates as a committee member for performance improvement projects, tracking and documenting the status of identified problems and opportunities for improvement to assure resolution and/or improvement, including tracking of compliance with action plans

Data Coordination and Support

  • Facilitates the tracking and sharing of organ and department specific quality assurance and performance improvement metrics in a transparent manner. Regularly reviews and updates the transplant quality improvement dashboard
  • Create, implement and maintain a transplant quality database and other databases as needed. Database creation and maintenance will include gathering clinical data about newly transplanted recipients and related donors from the medical record.
  • Devises methods for complex search strategies and collection of information, often using statistical methods and computer programming and analysis.
  • Ensure that database variables are meeting the needs of the clinicians and update existing patient information as necessary. Monitor any data which is gathered by other personnel. Make requested changes to increase reliability of database.
  • Utilizing advanced statistical techniques, analyzes the clinical outcomes and survival and prepares reports with recommendations and commentary as requested by the team.
  • Ensure that the database information is secure and regulate the database and access to the database according to HIPAA and RSRB policies and regulations.
  • Ensure accuracy of all data submitted to the UNOS database, and utilize UNet data reports in conjunction with internal data for program outcomes analysis
  • Provide analytic support for research projects as requested by program clinicians and directors
  • Assist all EPIC Phoenix end-users with report generation, workflows, and interfacing with IT personnel.
  • Work with the NYCTC and NYCLT staff to provide ongoing data to meet our program reporting obligations.

Regulatory Compliance and Policy Development

  • Serves as a content expert for national transplant outcomes reports. Responsible for keeping the team updated on any changes to the SRTR variables and modeling
  • Conducts regular compliance reviews of the heart, liver, and kidney transplant programs to ensure standards placed by CMS and UNOS are being met
  • Ensure the program policy manual is aligned with current regulations and evidence based practice. Create new policy documents as needed, and adhere to the University’s policy review schedule.
  • Provide information to assist the clinical leadership in completing the annual UNOS RFI, ongoing regulatory surveys and data requests, program presentations and other data inquiries that may arise.

Quality Assurance

  • Organizes, attends and helps facilitate the QA case review conferences, and meetings related to the management and utilization of quality data.
  • Serves as a liaison between the transplant program and the Department of Surgery, Department of Medicine, CV service line and Hospital QA staff
  • Helps facilitate the transplant quality meetings and maintains attendance records.
  • Notifies the Department QA Leadership and SMH QA Department of any serious event with adverse effect on patient outcomes in a timely manner.
  • Works cooperatively with the Department of Surgery and Department of Medicine Associate Quality Officers, and CV Service Line quality staff on any potentially reportable occurrences, as defined under NYPORTS and RL Solutions. Participates in root cause analysis as needed.
  • Participates in the Department of Surgery’s monthly QA meeting, appropriate Department of Medicine Quality Meetings and departmental quality meetings
  • Communicates transplant related quality outcomes and safety issues to appropriate staff, other involved disciplines and clinical areas, and leadership involved in the care of transplant patients and their families.

Other duties as assigned.


MINIMUM EDUCATION & EXPERIENCE

  • Bachelor's degree and 5 years of relevant experience required
  • Master's degree preferred
  • Or equivalent combination of education and experience


KNOWLEDGE, SKILLS AND ABILITIES

  • Ability to translate complex data into actionable insights required
  • Excellent verbal and written communication skills, with the ability to present complex information in a clear and concise manner required
  • Strong problem-solving skills with a strategic mindset required
  • Experience with data visualization tools such as Tableau, Power BI, or similar required
  • Strong understanding of statistical analysis and predictive modeling required
  • Experience in Quality Assurance, Process Improvement, Data Analysis and Visualization and Policy Development preferred

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI$60k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.