Health Data Analyst
SOC 15-2051.00 · ESCO 2120 · OSCA 223231
Role snapshot
Overview
Analyses clinical and population health datasets to uncover trends that improve patient outcomes and operational efficiency. Builds dashboards, runs statistical models, and translates findings into recommendations for healthcare administrators and clinicians. This role involves collecting, cleaning, and interpreting complex healthcare data to identify areas for improvement in patient care, public health initiatives, and healthcare operations.
Significantly improves patient outcomes, optimizes healthcare delivery processes, and informs public health strategies by transforming raw data into actionable insights and evidence-based recommendations.
On the job
- Clean, validate, and prepare large healthcare datasets for analysis.
- Develop and implement statistical models to identify trends, correlations, and predictive insights in clinical and operational data.
- Design and create interactive dashboards and reports using data visualization tools to communicate findings to non-technical stakeholders.
- Collaborate with clinicians, researchers, and administrators to understand their data needs and translate business questions into analytical problems.
- Present analytical findings and provide data-driven recommendations to support strategic decision-making in healthcare.
Tools & technology
Average salary
Job outlook
ExcellentNew job opportunities are highly likely. Demand significantly outpaces supply in most markets.
Education & training
Bachelor's degree in a quantitative field such as biostatistics, public health, health informatics, computer science, or mathematics. Master's degree often preferred.
Career pathways
WHERE YOU COULD GO
CURRENT ROLE
Health Data Analyst
Public Health
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
investigative · ICA
Individuals who enjoy systematic investigation, working with data, and applying logical reasoning to solve complex problems in a structured environment often thrive as Health Data Analysts.
Personality characteristics
Curious
Driven by a desire to explore complex datasets and uncover hidden patterns and insights in health information.
Detail-oriented
Meticulous in data cleaning, validation, and statistical analysis to ensure accuracy and reliability of findings.
Reserved
Prefers to focus on data analysis and technical tasks, though collaboration is key, direct social interaction isn't the primary driver.
Collaborative
Works effectively with interdisciplinary teams, valuing input from clinicians and public health experts to contextualize data.
Calm under pressure
Maintains composure when dealing with large, sometimes sensitive, datasets and critical analysis deadlines.
Best for
- Individuals who enjoy transforming raw data into actionable insights that improve health outcomes.
- Professionals who thrive on analytical challenges and meticulous data work.
- Those who want to blend their technical data skills with a passion for healthcare.
Watch out for
- Can involve long periods of deep analytical work, which may not suit those who prefer constant social interaction.
- Dealing with sensitive patient data requires strict adherence to privacy regulations and ethical guidelines.
A week in the life
A representative working week for a Health Data Analyst — where the deep work, meetings, and admin actually land.
FREE ASSESSMENT
Does Health Data Analyst fit you?
Measure your personality and interests, then see how this career ranks against 1,300+ others — for you personally.
Take the free assessment →