Statistical Analysis Intern information
See salary details
$10.34 - $15.63
14% of jobs
$18.64 is the 25th percentile. Wages below this are outliers.
$15.63 - $20.91
19% of jobs
$20.91 - $26.20
11% of jobs
The median wage is $29.43 / hr.
$26.20 - $31.49
10% of jobs
$31.49 - $36.78
5% of jobs
$36.78 - $42.07
3% of jobs
$42.07 - $47.36
3% of jobs
$47.36 - $52.64
6% of jobs
$54.10 is the 75th percentile. Wages above this are outliers.
$52.64 - $57.93
11% of jobs
$57.93 - $63.22
11% of jobs
$63.22 - $68.51
6% of jobs
How much do statistical analysis intern jobs pay per hour?
As of Aug 22, 2026, the average hourly pay for statistical analysis intern in the United States is $37.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $56.25 per hour, depending on experience, location, and employer.
A Statistical Analysis Intern assists with collecting, organizing, and analyzing data to support business or research objectives. They use statistical techniques to identify trends, patterns, and insights within datasets, often using software such as Excel, R, or Python. Interns may also help prepare reports, visualizations, and presentations based on their findings. This role provides practical experience in applying statistical methods and interpreting results under the guidance of experienced analysts or statisticians.
To thrive as a Statistical Analysis Intern, you need a solid understanding of statistics, data analysis, and proficiency in mathematics, typically supported by coursework or a degree in a quantitative field. Familiarity with statistical software such as R, Python, or SAS, as well as experience with data visualization tools, is highly valuable. Strong attention to detail, critical thinking, and clear communication help interns interpret data effectively and share insights with teams. These skills and qualities are crucial for providing accurate analyses that drive informed business or research decisions.
Statistical Analysis Interns often encounter challenges such as learning to work with large, complex datasets and adapting to new statistical software or programming languages. They may also need to interpret ambiguous data or results and communicate their findings clearly to non-technical team members. Collaboration with experienced analysts and seeking feedback can help interns overcome these challenges and build practical skills for future roles.
The best internships for statistical analysis students are those offered by data-driven companies, research institutions, or government agencies that focus on data analysis, modeling, and interpretation. These internships often require proficiency in tools like R, Python, or SAS and may include opportunities to develop skills in data visualization and statistical programming. Selecting internships with structured training and mentorship can enhance practical experience and career prospects.
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