Remote Actuarial Data Analyst information
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$70.9K is the 25th percentile. Wages below this are outliers.
$70K - $82K
17% of jobs
The median wage is $88.8K / yr.
$82K - $94K
16% of jobs
$105.8K is the 75th percentile. Wages above this are outliers.
$94K - $106K
18% of jobs
How much do remote actuarial data analyst jobs pay per year?
As of Aug 22, 2026, the average yearly pay for remote actuarial data analyst in the United States is $93,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $109,500.00 per year, depending on experience, location, and employer.
A Remote Actuarial Data Analyst collects, analyzes, and interprets large sets of data to help organizations assess financial risks, often within the insurance or finance industries. Working remotely, they use statistical models and software to identify trends, forecast future events, and support decision-making on policies, pricing, and risk management. Their work often involves collaborating with actuaries and other professionals to ensure data-driven solutions and regulatory compliance.
Remote actuarial data analysts often encounter challenges with data security, communication, and managing large, complex datasets independently. To address these, it's important to use secure, company-approved platforms for data sharing and to establish regular check-ins with team members for collaboration and clarification. Additionally, staying organized with project management tools and continuously updating technical skills can help ensure accuracy and efficiency while working remotely.
To thrive as a Remote Actuarial Data Analyst, you need a strong background in mathematics, statistics, and data analysis, often supported by a degree in a quantitative field and progress toward actuarial credentials. Familiarity with actuarial modeling software (like SAS, R, or Python), spreadsheets, and data visualization tools is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help professionals excel in collaborating with diverse teams and interpreting complex datasets. These skills and qualities ensure accurate risk assessments, effective problem-solving, and clear communication of insights in a remote and data-driven environment.
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