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Data Analyst Hospital Jobs (NOW HIRING)

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

Kearney is currently seeking a Data Analyst to join our team. Specifically seeking future or recent ... Accident, Critical Illness, Hospital Indemnity Insurances * Legal Insurance and Pet Insurance

Financial Data Analyst

Woburn, MA · On-site

$90K - $104K/yr

Like our owner hospitals, NELC provides patient focused care. New England Life Care has and ... New England Life Care currently has an opening for a Financial Data Analyst. This position ...

Financial Data Analyst

Canton, MA · On-site

$90K - $104K/yr

Like our owner hospitals, NELC provides patient focused care. New England Life Care has and ... New England Life Care currently has an opening for a Financial Data Analyst. This position ...

Financial Data Analyst

Concord, NH · On-site

$90K - $104K/yr

Like our owner hospitals, NELC provides patient focused care. New England Life Care has and ... New England Life Care currently has an opening for a Financial Data Analyst. This position ...

Health Data Analyst

Chicago, IL · On-site

$29.17 - $36.75/hr

At Insight Hospital and Medical Center Chicago, we believe there is a better way to provide quality ... The Data Analyst also assists others within the organization in the development of databases and ...

Health Data Analyst

Chicago, IL · On-site

$29.17 - $36.75/hr

At Insight Hospital and Medical Center Chicago, we believe there is a better way to provide quality ... The Data Analyst also assists others within the organization in the development of databases and ...

Showing results 41-60

Data Analyst Hospital information

See salary details

$34K

$82.6K

$136K

How much do data analyst hospital jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst hospital in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a data analyst in a hospital typically collaborate with clinical and administrative teams?

As a Data Analyst in a hospital, you'll regularly work with both clinical staff, such as doctors and nurses, and administrative teams to gather, interpret, and present data that supports patient care and operational efficiency. This often involves translating complex data findings into actionable insights through reports and dashboards, participating in interdisciplinary meetings, and responding to data requests from various departments. Building strong relationships and effective communication skills are essential, as you'll need to understand the unique needs of each team and ensure your analyses help drive evidence-based decision making across the hospital.

Can a data analyst work in a hospital?

Yes, a data analyst can work in a hospital by analyzing healthcare data to improve patient outcomes, optimize operations, and support clinical decision-making. They often use tools like SQL, Excel, and statistical software, and may need knowledge of healthcare regulations and data privacy standards.

Do hospitals hire data analysts?

Yes, hospitals often hire data analysts to interpret healthcare data, improve patient outcomes, and optimize operational efficiency. These roles typically require skills in data management, statistical analysis, and familiarity with healthcare information systems like EHRs and BI tools.

How can I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in fields like health informatics, statistics, or data science. Gaining skills in data analysis tools such as Excel, SQL, and statistical software, along with understanding healthcare systems and regulations, is essential. Earning certifications like Certified Health Data Analyst (CHDA) can also improve job prospects.

What is the difference between Data Analyst Hospital vs Data Analyst Clinic?

AspectData Analyst HospitalData Analyst Clinic
CredentialsBachelor's in Data Science, Healthcare, or related field; certifications like CPC or CHDA beneficialBachelor's in Data Science, Healthcare, or related field; similar certifications
Work EnvironmentLarge hospital setting, multiple departments, complex data systemsSmaller clinic setting, focused on outpatient data, streamlined systems
Employer & Industry UsageHospitals, healthcare systems, medical centersClinics, outpatient facilities, specialty practices
Common Search & ComparisonYesYes

Data Analyst Hospital and Data Analyst Clinic roles share similar educational backgrounds and certifications. However, Data Analyst Hospital positions typically involve working in larger, more complex healthcare environments with extensive data systems, while Data Analyst Clinic roles focus on outpatient and specialty practice data with a more streamlined setup. Both roles are essential in healthcare data analysis but differ mainly in scale and setting.

What is a data analyst in a hospital?

Data Analysts in a hospital are professionals who collect, process, and interpret healthcare data to help improve patient care, optimize operations, and support decision-making. They analyze medical records, patient outcomes, and operational metrics to identify trends and provide actionable insights to hospital administrators and clinical staff. Their work helps hospitals enhance efficiency, comply with regulations, and improve overall healthcare quality.

What do data analysts do in healthcare?

Data analysts in healthcare collect, analyze, and interpret medical and operational data to improve patient outcomes, optimize hospital processes, and support decision-making. They often use tools like Excel, SQL, and statistical software to identify trends, generate reports, and ensure data accuracy within healthcare environments.

What are the key skills and qualifications needed to thrive as a data analyst in a hospital, and why are they important?

To thrive as a Data Analyst in a hospital, you need strong analytical skills, a background in statistics or healthcare informatics, and a relevant degree such as in mathematics, computer science, or health information management. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and healthcare management systems (such as Epic or Cerner) is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating complex data into actionable insights for clinical and administrative teams. These skills and qualities are essential to support data-driven decision-making, improve patient outcomes, and optimize hospital operations.
More about Data Analyst Hospital jobs
What cities are hiring for Data Analyst Hospital jobs? Cities with the most Data Analyst Hospital job openings:
What states have the most Data Analyst Hospital jobs? States with the most job openings for Data Analyst Hospital jobs include:
Infographic showing various Data Analyst Hospital job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Full-time

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University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

228th of 616 rated colleges and universities


Job description


Job Summary:
The Data Analyst will support multiple investigator-initiated clinical research studies in ophthalmology by performing data management, statistical analyses, and preparation of tables, figures, and manuscripts for publication. Responsibilities include maintaining research databases (e.g., REDCap), ensuring data quality and integrity, conducting statistical analyses using software such as R, SAS, or Stata, and assisting with grant applications, abstracts, and scientific manuscripts. The position will also provide support including assisting with IRB submissions and continuing reviews, coordinating study documentation, maintaining regulatory files, supporting participant scheduling and follow-up, and working closely with investigators and study teams to ensure compliance with study protocols and regulatory requirements. The ideal candidate will have strong quantitative and organizational skills, experience with clinical research, and the ability to work independently while collaborating effectively with a multidisciplinary research team.
Department Description:
The UCSF Department of Ophthalmology is one of the leading ophthalmology departments in clinical care, training, and research nationwide. The Department of Ophthalmology is a one of the largest recipients of federal grant funds among peer departments. We are ranked 1st in National Eye Institute Funding and 2nd in overall National Institutes of Health (NIH) funding in the country. Additionally, we have been the #1 recipient of the Research to Prevent Blindness funding nationwide with nearly $1.2 million granted in a single year. Overall, the Department has a wide-ranging portfolio of 60 active research grants.
UCSF's renowned eye care services have a new state-of-the-art home. In November 2020, the Wayne and Gladys Valley Center for Vision opened its doors. Located at UCSF's Mission Bay Campus, the center houses the Vision Clinics, where many of UCSF's eye care programs relocated, as well as research and teaching facilities. Ophthalmology conducts its patient care, teaching, research, and public service activities currently at multiple UCSF campuses: Parnassus, Mt. Zion, Veteran's Administration Medical Center (VAMC), San Francisco General (SFG), East Bay and Benioff Children's Hospital at Mission Bay and in Oakland. The Department sponsors numerous invited speakers, research seminars, journal clubs, as well as a postdoctoral training program focused on mentorship, networking, and recognition. The UCSF Department of Ophthalmology consists of approximately 300 FTE's (including UCSF Health employees) including faculty, basic scientists, postdoctoral scholars, graduate students, residents, fellows, clinical, research and administrative staff.
Responsibilities
Key Responsibilities
List key functions and the estimated percentage of time spent performing each of the responsibilities. Indicate which responsibilities are considered "Essential" to the successful performance of the job as defined by the EEOC: "Essential functions are the basic job duties that an employee must be able to perform. You should carefully examine each job to determine which functions or tasks are essential to performance."
Example:
25% Essential Performs basic design, development, modification and debugging of software. Evaluates basic software for functional areas. Analyzes existing software or works to formulate logic for basic systems, prepares basic specifications and performs coding.
of time
Essential Function (Yes/No)
Key Responsibilities
(To be completed by Supervisor)
45%
YesDesigns, maintains, and manages clinical research databases (e.g., REDCap); performs data validation, cleaning, quality assurance, and ensuring data integrity and security.
25%
YesConducts statistical analyses using R, SAS, Stata, or similar software; prepares tables, figures, reports, and data summaries for manuscripts, presentations, and grant applications.
15%
YesCollaborates with investigators to interpret research findings; contributes to manuscript preparation, scientific abstracts, and grant proposals.
10%
YesProvides Clinical Research Coordinator support, including assisting with IRB submissions, continuing reviews, regulatory documentation, participant tracking, and study coordination activities.
5%
YesParticipates in research meetings, develops standard operating procedures, maintains study documentation, and ensures compliance with UCSF, IRB, HIPAA, and sponsor requirements.
100%
(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)
Qualifications
Required Qualifications:
  • Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization and minimum three years of experience[SS2.1] or equivalent experience.
  • Proficiency with R, SAS, Stata, or equivalent statistical software
  • Knowledge of statistical methods used in clinical or biomedical research
  • Experience in performing data cleaning, validation, and quality assurance
  • Ability to prepare publication-quality tables, figures, and reports
  • Knowledge of Good Clinical Practice (GCP), IRB requirements, and human subject research
  • Strong analytical, organizational, and communication skills
  • Ability to manage multiple priorities and work independently and collaboratively

About Us
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.
In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.
Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal Employment Opportunity
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Salary Information
The final salary and offer components are subject to additional approvals based on UC policy.
Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

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