Health Insurance Data Analyst information
See California salary details
$33.6K - $42.7K
4% of jobs
$42.7K - $51.9K
7% of jobs
$61.5K is the 25th percentile. Wages below this are outliers.
$61K - $70.2K
18% of jobs
The median wage is $74.4K / yr.
$70.2K - $79.3K
16% of jobs
$79.3K - $88.5K
13% of jobs
$91.9K is the 75th percentile. Wages above this are outliers.
$88.5K - $97.6K
9% of jobs
$97.6K - $106.8K
5% of jobs
$106.8K - $115.9K
9% of jobs
$115.9K - $125.1K
3% of jobs
$125.1K - $134.2K
2% of jobs
How much do health insurance data analyst jobs pay per year?
As of Sep 9, 2026, the average yearly pay for health insurance data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.
A Health Insurance Data Analyst collects, processes, and interprets data related to health insurance claims, policies, and patient outcomes. Their work helps insurance companies identify trends, improve efficiency, detect fraud, and develop better products or pricing strategies. They use statistical methods and specialized software to analyze data, generate reports, and support decision-making by management and other stakeholders.
To thrive as a Health Insurance Data Analyst, you need strong analytical skills, statistical knowledge, and experience with health data, typically supported by a degree in statistics, mathematics, public health, or a related field. Proficiency in data analysis tools such as SQL, Excel, SAS, or Python, as well as familiarity with healthcare databases and HIPAA compliance, is essential. Attention to detail, problem-solving abilities, and effective communication are important soft skills for interpreting data and conveying findings to stakeholders. These skills ensure accurate analysis and actionable insights that support decision-making and compliance in a complex healthcare environment.
Health Insurance Data Analysts often work with data originating from various systems, such as claims, enrollment, and provider databases, which may use different formats and standards. A common challenge is ensuring data quality and consistency while integrating these datasets for analysis. Analysts must also navigate strict privacy regulations, requiring secure handling and sharing of sensitive health information. Effective collaboration with IT, compliance, and business teams is essential to address data discrepancies and maintain data integrity throughout the analysis process.
What cities in California are hiring for Health Insurance Data Analyst jobs?
Cities in California with the most Health Insurance Data Analyst job openings: