Entry Level Data Analyst Greenhouse information
See Riverside, CA salary details
$13.79 - $18.40
10% of jobs
$21.79 is the 25th percentile. Wages below this are outliers.
$18.40 - $23
20% of jobs
The median wage is $28.22 / hr.
$27.61 - $32.21
16% of jobs
$35.59 is the 75th percentile. Wages above this are outliers.
$32.21 - $36.82
16% of jobs
$36.82 - $41.43
6% of jobs
$41.43 - $46.03
3% of jobs
$46.03 - $50.64
4% of jobs
$50.64 - $55.24
3% of jobs
$55.24 - $59.85
2% of jobs
$59.85 - $64.45
2% of jobs
How much do entry level data analyst greenhouse jobs pay per hour?
As of Sep 14, 2026, the average hourly pay for entry level data analyst greenhouse in Riverside, CA is $34.35, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $38.37 per hour, depending on experience, location, and employer.
An Entry Level Data Analyst at Greenhouse is responsible for collecting, processing, and analyzing data to help the company make informed business decisions. This role typically involves working with large datasets, creating reports, and identifying trends or patterns that can improve recruiting and hiring strategies. Entry level analysts use tools such as Excel, SQL, and data visualization software, and collaborate with different teams to support data-driven projects. It is an ideal position for recent graduates or those starting their careers in analytics, offering opportunities to learn and grow within the HR tech industry.
As an entry-level Data Analyst in a greenhouse environment, you’ll likely work with data sets related to plant growth metrics, climate control parameters, irrigation schedules, and crop yield records. Projects often involve cleaning and analyzing sensor data to optimize growing conditions or track productivity trends. You may collaborate closely with agronomists, greenhouse managers, and IT staff to design reports or dashboards that support operational decisions. This hands-on exposure helps you understand the intersection of data science and sustainable agriculture, while building valuable skills for future advancement.
To thrive as an Entry Level Data Analyst, you need a solid grounding in statistics, data interpretation, and proficiency with spreadsheet tools, often supported by a degree in a quantitative field. Familiarity with SQL, data visualization platforms like Tableau or Power BI, and possibly introductory certifications in data analytics are highly beneficial. Strong attention to detail, problem-solving skills, and effective communication help you extract insights and convey findings to diverse teams. These competencies ensure accurate analysis, support data-driven decisions, and foster collaboration in a dynamic, metrics-driven environment.
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