Data Trainee information
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$14.42 - $18.23
11% of jobs
$18.23 - $22.03
9% of jobs
$23.93 is the 25th percentile. Wages below this are outliers.
$22.03 - $25.83
12% of jobs
The median wage is $29.43 / hr.
$25.83 - $29.63
20% of jobs
$29.63 - $33.44
13% of jobs
$33.44 - $37.24
11% of jobs
$37.51 is the 75th percentile. Wages above this are outliers.
$37.24 - $41.04
7% of jobs
$41.04 - $44.84
2% of jobs
$44.84 - $48.65
3% of jobs
$48.65 - $52.45
7% of jobs
$52.45 - $56.25
5% of jobs
How much do data trainee jobs pay per hour?
As of Aug 30, 2026, the average hourly pay for data trainee in the United States is $33.07, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $39.18 per hour, depending on experience, location, and employer.
Data Trainees are entry-level professionals who are learning to work with data under the guidance of more experienced data analysts or scientists. Their responsibilities often include collecting, cleaning, and organizing data, as well as assisting with basic data analysis tasks. The role is designed to help individuals develop foundational skills in data handling, analysis tools, and reporting. Data Trainees may also participate in training programs or workshops to build their technical abilities and prepare for more advanced roles in the data field.
As a Data Trainee, you can expect to be involved in foundational tasks such as cleaning and preparing datasets, assisting with basic data analysis, and supporting senior analysts with reporting. You'll likely work closely with team members to learn data visualization tools and may help automate routine data processing tasks. This hands-on experience is designed to build your technical skills and understanding of the organization's data workflows, offering a valuable introduction to both the tools and the collaborative nature of data teams.
To thrive as a Data Trainee, you need a foundational understanding of statistics, data analysis, and basic programming, often supported by a degree in a quantitative field or relevant coursework. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is commonly expected. Strong attention to detail, a willingness to learn, and effective communication skills help you stand out in this role. These skills are crucial for accurately processing data, interpreting results, and contributing effectively to data-driven projects.
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