Data Management Analyst

Montefiore Einstein Technology; East Street; Hybrid; GBP 47,000 - 60,000; Full time

Job summary

A healthcare provider in the United Kingdom is seeking a Data Analyst to support clinical and administrative leaders. The role focuses on analyzing healthcare data and translating it into clear reports and visualizations to improve quality and decision-making. Candidates should have a Bachelor’s degree in a related field, strong Excel and Power BI skills, and experience working with healthcare data. This hybrid position offers collaboration with diverse healthcare professionals and opportunities for impactful analysis.

Qualifications

• Bachelor’s degree or higher in Health Informatics, Public Health, Data Analytics, Nursing, or a related field.
• Experience working with healthcare or clinical data.
• Strong proficiency in Excel, including data analysis and reporting.

Responsibilities

• Design and conduct healthcare and nursing-focused analyses.
• Develop reports, dashboards, and visualizations using Excel and Power BI.
• Translate care delivery processes into actionable insights.

Skills

Data analysis

Data visualization

Excel

Collaboration with healthcare professionals

Education

Bachelor’s degree in Health Informatics or related field

Tools

Power BI

Excel

Job description

City/State: Bronx, New York

Grant Funded: Yes

Department: NUR - Patient Care Admin

Work Shift: Day

Work Days: MON-FRI

Scheduled Hours: 8:30 AM-5 PM

Scheduled Daily Hours: 7.5 HOURS

Pay Range: $64,000.00 - $80,000.00

The Data Analyst supports clinical, nursing, and administrative leaders by analyzing healthcare data to evaluate key indicators. This role translates care delivery and clinical operations into clear, concise reports and visualizations to support quality improvement, operational decision-making, and research initiatives. Position is for 5-years and is fully grant funded.

Essential Duties and Responsibilities

• Design and conduct healthcare and nursing-focused analyses related to patient outcomes, patient experience, quality, and performance improvement.
• Develop reports, dashboards, and visualizations using Excel and Power BI for clinical, nursing, and leadership audiences.
• Translate care delivery processes and clinical workflows into actionable, easy-to-understand insights.
• Design and implement data collection tools for research and Quality Improvement initiatives.
• Collaborate with clinicians, nurses, researchers, and administrators to ensure data is accurate, meaningful, and not duplicative of enterprise systems.
• Clean and manage datasets.
• Produce accurate, timely management reports and standardized analytics.
• Conduct statistical analyses and prepare tables, charts, and summaries to document findings.
• Present results in formats tailored to clinical, nursing, administrative, and external audiences.
• Manage analytic projects with appropriate documentation to ensure continuity of grant requirements.

Required Qualifications

• Bachelor’s degree or higher in Health Informatics, Public Health, Data Analytics, Nursing, or a related field, or equivalent experience
• Experience working with healthcare or clinical data
• Strong proficiency in Excel, including data analysis and reporting
• Experience creating data visualizations and dashboards, preferably using Power BI
• Ability to translate clinical and care delivery data into clear, concise reports
• Knowledge of patient confidentiality and healthcare data standards

Preferred Qualifications

• Experience in a hospital or clinical setting
• Familiarity with nursing, quality improvement, or care delivery workflows
• Experience with enterprise healthcare data systems or databases
• Strong written and verbal communication skills for diverse audiences

Working Conditions

Hybrid/Remote

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.