Summer Sports Analytics Intern information
See salary details
$10.21 - $11.52
1% of jobs
$11.52 - $12.83
11% of jobs
$12.83 - $14.14
9% of jobs
$14.35 is the 25th percentile. Wages below this are outliers.
$14.14 - $15.45
23% of jobs
The median wage is $15.78 / hr.
$15.45 - $16.76
21% of jobs
$17.42 is the 75th percentile. Wages above this are outliers.
$16.76 - $18.07
18% of jobs
$18.07 - $19.38
7% of jobs
$19.38 - $20.69
5% of jobs
$20.69 - $22.01
2% of jobs
$22.01 - $23.32
1% of jobs
How much do summer sports analytics intern jobs pay per hour?
As of Aug 25, 2026, the average hourly pay for summer sports analytics intern in the United States is $16.47, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.31 per hour, depending on experience, location, and employer.
A Summer Sports Analytics Intern assists sports organizations by collecting, analyzing, and interpreting data related to athletic performance, team strategies, and game outcomes. Their responsibilities often include using statistical software, creating reports, and helping coaches or analysts make data-driven decisions. Interns may work with large datasets, develop data visualizations, and sometimes participate in research projects. This position provides hands-on experience with both sports and analytics, making it ideal for students interested in sports management, statistics, or data science.
As a Summer Sports Analytics Intern, you can expect to work on a variety of data-driven projects, such as collecting and cleaning sports performance data, conducting statistical analyses to identify trends, and creating visualizations to communicate findings to coaches or management. Interns often assist with building predictive models or dashboards that support game strategy and player evaluations. Collaboration with other analysts, coaches, and IT staff is frequent, as you'll contribute insights that inform decision-making across the organization.
To thrive as a Summer Sports Analytics Intern, you need a solid understanding of statistics, data analysis, and sports knowledge, often backed by coursework in mathematics, computer science, or a related field. Familiarity with data analysis tools such as Excel, Python, R, and sports analytics platforms is typically expected. Strong problem-solving skills, attention to detail, and effective communication help interns stand out in interpreting and conveying complex data insights. These skills ensure valuable contributions to team decision-making and the successful application of analytics in sports environments.
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