Social Science Research Data Analyst information
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$49.6K - $55.1K
3% of jobs
$57.3K is the 25th percentile. Wages below this are outliers.
$55.1K - $60.7K
45% of jobs
$60.7K - $66.2K
5% of jobs
$66.2K - $71.8K
4% of jobs
$71.8K - $77.3K
3% of jobs
$77.3K - $82.9K
3% of jobs
$82.9K - $88.4K
2% of jobs
$94.4K is the 75th percentile. Wages above this are outliers.
$94K - $99.5K
27% of jobs
How much do social science research data analyst jobs pay per year?
As of Sep 10, 2026, the average yearly pay for social science research data analyst in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.
Social Science Research Data Analysts are professionals who collect, process, and analyze data related to human behavior, societies, and social policies. They use statistical methods and software to interpret data, identify trends, and provide insights that inform research studies or policy decisions. These analysts often work with large datasets, collaborate with researchers, and present their findings through reports or visualizations. Their work supports evidence-based decision-making in fields such as sociology, psychology, economics, and public policy.
Social Science Research Data Analysts often encounter challenges such as data cleaning, managing missing or incomplete data, and ensuring data integrity across diverse sources. Large datasets can also present difficulties in maintaining consistency and reproducibility of analyses, especially when collaborating with multidisciplinary teams. Additionally, analysts must stay updated on ethical considerations and privacy regulations when handling sensitive participant information. Addressing these challenges requires strong attention to detail, effective communication, and proficiency with statistical software and data management tools.
To thrive as a Social Science Research Data Analyst, you need strong quantitative and qualitative research skills, statistical analysis expertise, and a relevant degree in social sciences or a related field. Familiarity with data analysis tools such as SPSS, R, Stata, or Python, as well as experience with data visualization and survey software, is typically required. Excellent critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and present findings clearly. These abilities are essential for producing insightful, reliable research that informs evidence-based decisions in social science contexts.
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