Category Analyst Intern information
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$12.02 - $14.75
7% of jobs
$17.44 is the 25th percentile. Wages below this are outliers.
$14.75 - $17.48
18% of jobs
$17.48 - $20.21
22% of jobs
The median wage is $20.64 / hr.
$20.21 - $22.95
17% of jobs
$24.59 is the 75th percentile. Wages above this are outliers.
$22.95 - $25.68
18% of jobs
$25.68 - $28.41
8% of jobs
$28.41 - $31.14
5% of jobs
$31.14 - $33.87
1% of jobs
$33.87 - $36.60
0% of jobs
$36.60 - $39.34
2% of jobs
$39.34 - $42.07
1% of jobs
How much do category analyst intern jobs pay per hour?
As of Aug 16, 2026, the average hourly pay for category analyst intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.
To thrive as a Category Analyst Intern, you typically need strong analytical skills, attention to detail, and a background in business, economics, or a related field. Familiarity with data analysis tools like Excel, Power BI, or Tableau, and sometimes experience with retail analytics software, is often required. Effective communication, teamwork, and problem-solving abilities help you translate data insights into actionable recommendations. These skills are crucial for driving data-informed decisions that can improve product assortment, pricing, and overall business performance.
As a Category Analyst Intern, you can expect to be involved in projects such as analyzing sales data, assisting with market and competitor research, and helping to prepare presentations for internal and client meetings. You may also support category reviews by identifying trends and opportunities for product assortment or pricing improvements. These projects are often collaborative, requiring you to work closely with cross-functional teams like marketing, sales, and supply chain to deliver actionable insights that support business objectives.
A Category Analyst Intern supports the category management team by analyzing sales data, market trends, and consumer behavior to help optimize product assortments and promotions. They work with large datasets to identify opportunities for growth and improvements within specific product categories. Their responsibilities often include generating reports, assisting with presentations, and collaborating with cross-functional teams such as marketing, sales, and supply chain. This role provides hands-on experience with data analysis tools and insight into the retail or consumer goods industry.
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