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Job Description

The Graduate Student Assistant will support the Institutional Research Office in collecting, analyzing, and reporting data to inform decision-making and strategic planning. This position is ideal for a graduate student with strong analytical skills, attention to detail, and an interest in higher education data and research.

Responsibilities:

Data Collection & Management:

• Assist in gathering institutional data from internal and external sources.

• Maintain data integrity and ensure accuracy in databases and spreadsheets.

Data Analysis & Reporting:

• Perform statistical analyses using tools such as Excel, SPSS, R, or Python.

• Prepare tables, charts, and dashboards for internal reports and presentations.

Survey Administration:

• Support the design, distribution, and analysis of institutional surveys.

• Compile and summarize survey results for stakeholders.

Compliance & Accreditation Support:

• Assist with data submissions for state, federal, and accreditation reporting.

• Ensure adherence to data privacy and compliance standards.

Special Projects:

• Contribute to research projects related to student success, enrollment trends, and institutional effectiveness.

• Perform literature reviews and benchmarking studies as needed.

Required Education & Experience:

• Bachelor's degree in related field

• Presently enrolled at Prairie View A&M University for at least nine (9) graduate semester credit hours during the term in which the work is to be done. (Preferably Statistics or Computer Science)

• Must be in good academic standing (SAP) as demonstrated through your college; minimum 2.0 GPA

• For work eligibility during a summer term, a student must be enrolled for at least three (3) graduate or undergraduate semester credit hours during the term in which the work is to be done or preregistered at least six (6) undergraduate semester hours or nine (9) graduate semester hours for the upcoming fall term.

Required Knowledge, Skills, and Abilities:

• Strong analytical and quantitative skills.

• Proficiency in Microsoft Excel; experience with statistical software (SPSS, R, or Python)

• Excellent written and verbal communication skills.

• Ability to manage multiple tasks and meet deadlines.

• Attention to detail and commitment to data accuracy.

Preferred Knowledge, Skills, and Abilities:

• Experience with data visualization tools (Tableau, Power BI).

• Familiarity with institutional research concepts and higher education data systems.

Job Posting Close Date:

• Until filled.

Required Attachments:

Please attach all required documents listed belowin the attachment box labeled as either "Resume/CV or Resume/Cover Letter" on the application. Multiple attachments may be included in the "Resume/CV" or Resume/Cover Letter" attachment box. Any additional attachments provided outside of the required documents listed below are considered optional.

• Resume or Curriculum Vitae

• Cover Letter

Application Submission Guidelines:

All applicants are required to apply via our Career Site on or before the closing date indicated on the job posting. Applicant inquiries received via email and websites such as Indeed, HigherEdJobs, etc. will not be considered unless the individual has applied to the available position via thePVAMUCareer site.

The required documents listed in the above "Required Attachments" section must be attached to the application prior to the job closing date indicated to ensure full consideration for the application submitted. Please contact the Office of Human Resource on or before the closing date indicated above at 936-261-1730 or jobs@pvamu.edu should you need assistance with the online application process.

Background Check Requirements:

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.