Clinical Data Analyst Job Description

Clinical data analysts develop and manage healthcare databases by compiling, analyzing, and verifying data. Hospitals and medical facilities of all kinds hire clinical data analysts for full-time hours, typically within offices inside of the facility itself. Clinical data analysts work collaboratively with a data management team and report to the data team supervisor. At times, clinical data analysts may travel to other medical facilities to perform database management and data-compiling functions.

Clinical Data Analyst Duties and Responsibilities

The daily duties performed by clinical data analysts vary based on the amount of data they work with, the scope of the databases they manage, and the size of their team. However, there are several core job tasks common to this job, including:
Compile Data
Clinical data analysts gather and compile data for storage inside healthcare databases.
Monitor Data Usage
Clinical data analysts monitor data usage in the database. They conduct analysis find usage trends, spot data patterns, and isolate potential system problems.
Write Reports
Clinical data analysts write reports summarizing and analyzing data on a regular basis, including monthly, quarterly, and year-end reports.
Verify Data
Clinical data analysts verify the accuracy of data to ensure all information is correct.
Coordinate with Staff
Clinical data analysts coordinate with medical and data staff members to learn more about the medical facility’s data needs.
Retrieve Missing Data
Clinical data analysts retrieve missing or lost data as requested.
Expand Database
Clinical data analysts expand databases as needed to facilitate more data storage.

Clinical Data Analyst Skills and Qualifications

Clinical data analysts use analytical and computer skills to study and compile data, isolate potential problems, and maintain clinical databases to ensure information is accurate and easy to access. Employers look for these specific skills when hiring clinical data analysts:

  • Computer skills – strong computer skills are essential for clinical data analysts, who compile data, create databases, and analyze information using various software
  • Analytical thinking – clinical data analysts use analytical skills to study data and isolate potential problems
  • Communication skills – clinical data analysts use written communication skills to write reports; they use verbal communication skills to collaborate with other data management and medical staff members
  • Attention to detail – clinical data analysts use strong attention to detail to spot data patterns, monitor data usage, and verify data accuracy
  • Organization skills – clinical data analysts use organization skills to build databases and compile data that's easily accessible to others
  • Multitasking – clinical data analysts perform various tasks at once, which requires good multitasking
  • Problem-solving – clinical data analysts isolate and solve database and data problems, which requires strong problem-solving skills

Clinical Data Analyst Education and Training

A majority of employers require clinical data analysts to have a bachelor's degree in computer science, life science, a health-related field, or a similar field of study. Though not required, many employers prefer candidates who have a master’s degree. However, real-world work experience can be substituted for additional education in the eyes of many employers.
Little to no training is provided to clinical data analysts, who already have the education and skills needed to perform their regular job duties. However, new clinical data analysts often work closely with the data team supervisor during the first few weeks of employment to become comfortable with the medical facility’s data needs and goals.

Clinical Data Analyst Salary and Outlook

Information from PayScale shows that clinical data analysts earn $62,341 in median annual income. The Bureau of Labor Statistics (BLS) shows that database administrators earn $87,020 in median annual income. Database administrators use software to store and organize data, performing many of the same tasks as clinical data analysts. BLS projections show that these jobs are likely to increase 11 percent through 2026, a rate that is faster than the national average.
Most employers provide clinical data analysts with full health insurance coverage that includes medical, dental, and vision benefits. Paid holidays, vacation days, and sick days are typically included in these packages, as are life insurance and retirement planning options. Some medical facilities offer additional perks such as free parking, free meals, and free access to gym facilities.

Helpful Resources

Use these resources to find job listings, learn workplace strategies, browse networking opportunities, and search training and education programs:
Society for Clinical Data Management – find certification programs, online education courses, upcoming networking events, useful publications, job openings, and more content at this website dedicated to clinical data management in all its forms
Practical Guide to Clinical Data Management – this book is an in-depth guide to clinical data management, covering everything from collecting data to analyzing and compiling data – all the skills essential for clinical data analysis
American Health Information Management Association – visit the AHIMA website to find training and education programs, certification courses, career openings, and upcoming conference and event dates for all professionals who work with health information, including clinical data analysts
Clinical Data-Mining: Integrating Practice and Research – learn how to extract, analyze, and interpret data with this book, which provides in-depth information about making decisions and performing other essential clinical data analysis tasks
Association for Clinical Data Management – find training courses, job openings, research resources, articles, and other content for clinical data analysts at the ACDM website
The Fundamentals of Clinical Data Management – read this book to learn the fundamentals of data management and helpful study techniques that will serve any clinical data analyst well

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