Spss Part Time information
See salary details
$15.38 - $19.60
4% of jobs
$19.60 - $23.82
5% of jobs
$26.68 is the 25th percentile. Wages below this are outliers.
$23.82 - $28.04
23% of jobs
The median wage is $31.35 / hr.
$28.04 - $32.26
23% of jobs
$32.26 - $36.47
19% of jobs
$36.82 is the 75th percentile. Wages above this are outliers.
$36.47 - $40.69
10% of jobs
$40.69 - $44.91
4% of jobs
$44.91 - $49.13
3% of jobs
$49.13 - $53.34
4% of jobs
$53.34 - $57.56
2% of jobs
$57.56 - $61.78
2% of jobs
How much do spss part time jobs pay per hour?
As of Aug 30, 2026, the average hourly pay for spss part time in the United States is $34.99, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $38.22 per hour, depending on experience, location, and employer.
An SPSS part-time job typically involves using the SPSS statistical software to analyze data, generate reports, and assist with research projects. Responsibilities may include cleaning and organizing datasets, running statistical tests, and interpreting the results for academic, business, or healthcare purposes. These roles are often flexible, allowing you to work on specific projects or tasks for a set number of hours per week. Proficiency in SPSS and a background in statistics or data analysis are usually required. Communication skills are also important, as you may need to present findings to team members or clients.
To thrive as an SPSS Part-Time Analyst, you need a solid background in statistics, data analysis, and familiarity with research methodologies, often supported by coursework or a degree in a related field. Proficiency in IBM SPSS Statistics software and spreadsheet tools like Excel is typically required, along with knowledge of data management systems. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly. These abilities are essential to deliver accurate analyses and actionable insights for data-driven decision-making.
As an SPSS Part-Time professional, you will typically be responsible for analyzing quantitative data, creating and managing datasets, and generating reports using SPSS software. Your projects may involve cleaning raw data, running descriptive and inferential statistics, and visualizing results for research teams or business units. You may also collaborate closely with researchers, data analysts, or marketing teams to interpret findings and ensure data integrity. The variety and scope of your tasks often depend on the organization and industry, but strong attention to detail and communication skills are essential for success.
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