Health Data Analyst Part Time information
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$11.06 - $15.73
0% of jobs
$15.73 - $20.41
1% of jobs
$20.41 - $25.09
11% of jobs
$29.10 is the 25th percentile. Wages below this are outliers.
$25.09 - $29.76
15% of jobs
$29.76 - $34.44
18% of jobs
The median wage is $35.67 / hr.
$34.44 - $39.12
20% of jobs
$41.72 is the 75th percentile. Wages above this are outliers.
$39.12 - $43.79
19% of jobs
$43.79 - $48.47
9% of jobs
$48.47 - $53.15
3% of jobs
$53.15 - $57.82
3% of jobs
$57.82 - $62.50
1% of jobs
How much do health data analyst part time jobs pay per hour?
As of Aug 21, 2026, the average hourly pay for health data analyst part time in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $42.31 per hour, depending on experience, location, and employer.
A Health Data Analyst (Part Time) is responsible for collecting, processing, and analyzing health-related data to help healthcare organizations make informed decisions. Their work involves using statistical tools and software to interpret data trends, create reports, and ensure data quality. Part-time analysts often focus on specific projects or support larger analytics teams while maintaining flexibility in their schedules. They play a crucial role in improving patient care, operational efficiency, and compliance with healthcare regulations.
Part-time Health Data Analysts often juggle several projects with tight deadlines while working limited hours, which can make prioritization and time management especially challenging. Communication is key, as analysts must coordinate with healthcare teams, IT staff, and supervisors to ensure data integrity and timely delivery of reports. Staying updated on evolving industry regulations and data privacy standards also requires proactive learning. Building strong organizational habits and leveraging collaborative tools can help overcome these hurdles, ensuring effective contribution despite part-time hours.
To thrive as a Health Data Analyst Part Time, you need strong analytical skills, a background in statistics or public health, and a relevant degree such as in health informatics or biostatistics. Familiarity with data analysis tools like SQL, Excel, and statistical software (e.g., SAS, R, or Python) is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting complex data and presenting actionable insights. These skills enable analysts to support evidence-based decisions and improve healthcare outcomes while working efficiently in a part-time capacity.
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