Junior Healthcare Data Analyst information
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$56.6K is the 25th percentile. Wages below this are outliers.
$51.4K - $59.9K
14% of jobs
$59.9K - $68.3K
11% of jobs
The median wage is $71K / yr.
$68.3K - $76.8K
26% of jobs
$81.3K is the 75th percentile. Wages above this are outliers.
$76.8K - $85.2K
14% of jobs
$85.2K - $93.7K
5% of jobs
$93.7K - $102.1K
4% of jobs
$102.1K - $110.6K
4% of jobs
$110.6K - $119K
3% of jobs
$119K - $127.5K
2% of jobs
How much do junior healthcare data analyst jobs pay per year?
As of Aug 27, 2026, the average yearly pay for junior healthcare data analyst in the United States is $79,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $81,500.00 per year, depending on experience, location, and employer.
A Junior Healthcare Data Analyst collects, processes, and analyzes healthcare data to help organizations improve patient care, reduce costs, and enhance operational efficiency. They work with large datasets, create reports, and assist in identifying trends or patterns within healthcare information. Typically, they use statistical software and databases, collaborate with senior analysts, and support healthcare teams with data-driven insights. Junior analysts are usually early in their careers and may also assist with data cleaning, quality checks, and preparing visualizations.
To thrive as a Junior Healthcare Data Analyst, a solid understanding of data analysis, statistics, and healthcare concepts is essential, typically supported by a degree in health informatics, statistics, or a related field. Familiarity with tools such as SQL, Excel, and data visualization platforms like Tableau, as well as knowledge of electronic health record (EHR) systems, is commonly expected. Strong attention to detail, analytical thinking, and effective communication are key soft skills that help in interpreting data and collaborating with clinical or administrative teams. These skills are crucial for accurately transforming healthcare data into actionable insights that support better decision-making and patient outcomes.
Junior Healthcare Data Analysts often encounter challenges such as ensuring data accuracy and consistency when dealing with large, complex clinical datasets. These datasets can contain missing, duplicated, or inconsistent information, which requires careful cleaning and validation. Additionally, analysts must learn to navigate healthcare-specific regulations like HIPAA to maintain patient privacy while handling sensitive information. Collaborating closely with senior analysts, IT professionals, and healthcare providers is crucial for understanding data requirements and ensuring analyses meet clinical needs.
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