Stop Loss Analyst information
See salary details
$39.6K - $46.2K
1% of jobs
$46.2K - $52.8K
4% of jobs
$52.8K - $59.4K
0% of jobs
$74.9K is the 25th percentile. Wages below this are outliers.
$72.5K - $79.1K
7% of jobs
The median wage is $83K / yr.
$79.1K - $85.7K
34% of jobs
$89.8K is the 75th percentile. Wages above this are outliers.
$85.7K - $92.3K
18% of jobs
$92.3K - $98.9K
9% of jobs
$98.9K - $105.5K
10% of jobs
How much do stop loss analyst jobs pay per year?
As of Aug 13, 2026, the average yearly pay for stop loss analyst in the United States is $80,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $91,000.00 per year, depending on experience, location, and employer.
To thrive as a Stop Loss Analyst, you need a strong understanding of health insurance, risk assessment, and data analysis, typically supported by a bachelor's degree in finance, business, or a related field. Proficiency with claims management systems, Excel, and actuarial software is commonly required, and certifications such as Associate of the Society of Actuaries (ASA) can be advantageous. Attention to detail, analytical thinking, and effective communication are crucial soft skills for interpreting complex data and liaising with clients or underwriters. These skills ensure accurate risk evaluation, effective claims management, and strong client relationships in the stop loss insurance sector.
A Stop Loss Analyst is a professional who reviews and manages stop loss insurance policies, which are designed to protect organizations from catastrophic or unpredictable high-cost claims. They analyze claims data, evaluate risk, and ensure that claims submitted fall within the policy's terms and conditions. Their role often includes working with underwriters, brokers, and clients to resolve claims issues, ensure compliance, and help manage overall healthcare costs for employers who self-fund their health plans.
Stop Loss Analysts often encounter challenges such as incomplete documentation, discrepancies in claims information, and the need to interpret complex medical or financial data. Successfully addressing these issues requires strong analytical skills, attention to detail, and effective communication with underwriters, claims adjusters, and healthcare providers. Proactively collaborating with other teams and leveraging specialized analytical tools can help streamline the process and ensure accurate risk assessment. Staying organized and maintaining up-to-date knowledge of policy changes also supports more efficient claim reviews.
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