Intern Data Analyst Ecommerce 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 intern data analyst ecommerce jobs pay per hour?
As of Aug 14, 2026, the average hourly pay for intern data analyst ecommerce 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.
An Intern Data Analyst in Ecommerce assists in collecting, processing, and analyzing data related to online sales, customer behavior, and market trends. They help create reports and visualizations to support business decisions, often using tools like Excel, SQL, and data visualization software. Interns may work closely with marketing, sales, and product teams to identify patterns and opportunities for growth. The role is a great way to gain hands-on experience in data analytics within the fast-paced ecommerce industry.
As an Intern Data Analyst in an ecommerce environment, you can expect to work with diverse datasets such as sales transactions, website traffic, customer behavior, and inventory information. Your projects may include analyzing sales trends, supporting marketing campaigns with data insights, or helping streamline operations through data-driven recommendations. You'll often collaborate with marketing, product, and engineering teams to ensure your analyses address real business needs. This hands-on experience will give you valuable exposure to practical analytics tools and techniques, preparing you for more advanced roles in the field.
To thrive as an Intern Data Analyst in Ecommerce, you need strong analytical skills, proficiency in data interpretation, and a foundational understanding of statistics, often supported by coursework in data science, business, or a related field. Familiarity with data analysis tools like Excel, SQL, Google Analytics, and possibly introductory knowledge of Python or R is typically expected. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for presenting insights and collaborating with teams. These skills are crucial for deriving actionable insights from ecommerce data, supporting business decisions, and contributing to company growth.
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