Internship Data Analyst Greenhouse 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 internship data analyst greenhouse jobs pay per hour?
As of Aug 18, 2026, the average hourly pay for internship data analyst greenhouse 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 Internship Data Analyst at Greenhouse is responsible for supporting the data analytics team in collecting, analyzing, and interpreting data related to recruitment and hiring processes. Interns typically work with large datasets, create reports, and help identify trends to improve the company's talent acquisition strategies. The role often involves using tools like Excel, SQL, or data visualization software, and provides valuable experience in both data analysis and the HR technology industry.
As an Internship Data Analyst in a greenhouse environment, you can expect to work on projects such as analyzing crop yield data, monitoring environmental sensor readings, and supporting the optimization of resource usage (like water, light, and nutrients). Interns often assist with data cleaning, visualization, and reporting to help the team make data-driven decisions for improved plant growth and operational efficiency. Collaboration with agronomists, horticulturists, and technicians is common, allowing you to gain practical insight into both data practices and greenhouse operations.
To thrive as an Internship Data Analyst at Greenhouse, you need a solid understanding of statistics, data analysis, and familiarity with data visualization, typically supported by coursework in data science, mathematics, or a related field. Proficiency in tools such as Excel, SQL, and data visualization software like Tableau or Power BI is commonly required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present insights clearly. These skills and qualities are vital for transforming raw data into actionable recommendations that support business decisions and drive improvements.
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