St. John's Riverside Hospital

Data Manager

Job ID
2026-9427
Facility Name
Andrus
Category
Nursing
Position Type
Regular Full-Time
Hours Per Week
37.5
Shift
Day
Work Shift
8::00am - 4pm Monday to Friday
Posted Salary
$75,000 to $85,000 annually based on experience

Overview

St. John's Riverside Hospital is a leader in providing the highest quality, compassionate health care utilizing the latest, state-of-the-art medical technology. Serving the Westchester community from Yonkers to the river town communities of Hastings-on-Hudson, Ardsley, Dobbs Ferry and Irvington, St. John's Riverside has been and continues to be a unique and comprehensive network of medical professionals dedicated to a tradition of service that spans generations.

 

St. John’s has been an integral part of the community since the 1890's and its’ commitment to provide the community with the most advanced medical services available continues to be the hospitals’ vision, mission and value. St. John's Riverside Hospital built itself around an early foundation of nursing and community service. In 1894, the Cochran School of Nursing, the oldest hospital-based school of nursing in the metropolitan area, was founded, thus making the St. John's Nursing Staff more than just the backbone of the hospital, but the heart and soul. St. John’s dedicated nurses give superior attention to those who need it most with a strong emphasis on patient and family-focused nursing care.

 

St. John’s Riverside Hospital staff is committed to making life better for all patients. The hospital continues to elevate the services provided with the goal of increasing the quality of life for all who entrust St. John's Riverside Hospital to their care.

 

St. John’s Riverside Hospital  is an equal opportunity employer. We maintain a policy of non-discrimination in providing equal employment to all qualified employees and candidates regardless of race, creed, color, national origin, sex, age, disability, marital status, or other legally protected classification in accordance with applicable federal, state, and local law.

 

Personalized care together with advanced technology is what it means to be Community Strong

 

 

Responsibilities

The Data Manager is responsible for providing nursing-focused data analytics, performance reporting, and quality measurement to support patient experience, quality outcomes, age-friendly initiatives, and oncology service line performance. This role partners closely with nursing leadership, clinical operations, and quality teams to deliver actionable insights, support regulatory and accreditation readiness, and drive data-informed decision-making across nursing services.

 

 

Gather data from various sources, including Press Ganey patient satisfaction surveys, Meditech databases, and cancer-specific patient records.

Utilize statistical and data analysis techniques to identify trends, patterns, and correlations in patient experience, quality data, and clinical outcomes within the cancer care program.

Develop and maintain dashboards and reports to visualize cancer care data findings for stakeholders.

Conduct comparative analyses against internal benchmarks and external industry standards, including cancer-specific performance metrics.

Translate data analysis into actionable insights and recommendations for improvements in cancer care services and patient experience.

Present findings to leadership, oncology teams, clinicians, and other stakeholders in a clear and concise manner.

Accountable for the organization’s Age-Friendly Health System initiatives by collecting, analyzing, and reporting data aligned with the 4Ms framework: What Matters, Medication, Mentation, and Mobility.

Develop and maintain dashboards and scorecards to track age-friendly nursing metrics.

Partner with nursing leadership and quality teams to monitor performance on age-friendly measures and identify opportunities for improvement.

Responsible for conducting trend and gap analyses related to care of the older adult population across nursing units.

Responsible internal and external reporting requirements related to age-friendly designation, recognition, or quality benchmarks.

Translate age-friendly data findings into actionable insights to improve nursing workflows, documentation practices, and patient outcomes.

Assures preparation for age-friendly assessments, surveys, and regulatory reviews through accurate data validation and reporting.

Accountable for data standardization and data integrity for age-friendly measures across nursing services.

 

Quality Improvement:

Responsible for cancer-specific quality improvement initiatives by providing data-driven support and monitoring progress in oncology patient care.

Responsible for nursing quality improvement initiatives by providing data-driven support, including initiatives focused on older adult care and age-friendly practices.

Assures the development and tracking of evidence-based quality improvement initiatives impacting nursing care delivery and patient experience and age -friendly outcomes.

Track and measure the impact of cancer-focused quality improvement initiatives on key performance indicators (KPIs), such as patient satisfaction, treatment efficacy, and clinical outcomes.

 

Cancer Program Responsibilities:

Collaborate with nursing and oncology leadership to analyze and improve care processes using data-driven insights.

Analyze and report on cancer-specific metrics, such as treatment success rates, patient satisfaction scores, and cancer care pathways.

Assures that accreditation and regulatory reporting requirements are completed, including Commission on Cancer (CoC) standards, through accurate data submission and monitoring.

Participate in program meetings to share data insights and support continuous improvement efforts.

Responsible for analytical support for cancer clinical trials and research initiatives, ensuring accurate data reporting and outcomes tracking.

Responsible for data reporting and patient care metrics align with national and regional cancer care standards.

 

Present findings to leadership, oncology teams, clinicians, and other stakeholders in a clear and concise manner.

Accountable for the organization’s Age-Friendly Health System initiatives by collecting, analyzing, and reporting data aligned with the 4Ms framework: What Matters, Medication, Mentation, and Mobility.

Develop and maintain dashboards and scorecards to track age-friendly nursing metrics.

Partner with nursing leadership and quality teams to monitor performance on age-friendly measures and identify opportunities for improvement.

Responsible for conducting trend and gap analyses related to care of the older adult population across nursing units.

Responsible internal and external reporting requirements related to age-friendly designation, recognition, or quality benchmarks.

Translate age-friendly data findings into actionable insights to improve nursing workflows, documentation practices, and patient outcomes.

Assures preparation for age-friendly assessments, surveys, and regulatory reviews through accurate data validation and reporting.

Accountable for data standardization and data integrity for age-friendly measures across nursing services.

 

 

Stay up to date on current research, trends, and best practices in cancer care, patient experience, and quality improvement, oncology services and age-friendly care models.

Maintain confidentiality of patient data and adhere to HIPAA regulations.

Contribute to the development and maintenance of data collection tools and processes for the cancer program.

Complete discharge phone calls

 

 

 

 

Qualifications

Minimum of 2+ years of experience in data analysis, preferably in a healthcare or oncology setting.

Experience with cancer care data, including patient satisfaction surveys and clinical quality measures, is preferred.

Strong analytical and problem-solving skills.

Proficiency in statistical software (e.g., R, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI).

Proficiency in excel spreadsheets and Microsoft programs

Excellent communication and presentation skills.

Ability to collaborate effectively with diverse teams, including oncology specialists, clinicians, and administrators.

Knowledge of healthcare data standards and regulations (e.g., HIPAA, Commission on Cancer standards).

Bachelor’s degree in statistics, economics, data science, public health, healthcare administration, or a related field.

Master’s degree in related field preferred.

 

 

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