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Student Data Analyst

University of New Mexico
$16.00 - $17.00 Hourly
United States, New Mexico, Albuquerque
1 University Of New Mexico (Show on map)
Jul 21, 2025
Requisition IDreq34007
Working TitleStudent Data Analyst
Pay$16.00 - $17.00 Hourly
CampusMain - Albuquerque, NM
DepartmentGeospatial and Population Studies (069D)
Employment TypeStudent Employment
Student TypeStudent Employment
StatusNon-Exempt
Background Check Required
For Best Consideration Date7/31/2025
Position Summary

The University of New Mexico's Institute Center for Geospatial and Population Studies (GPS) maintains New Mexico's traffic
crash database for the New Mexico Department of Transportation Traffic
Safety Division and serves as the
New Mexico State Demographer's Office. We provide assist New Mexico government agencies, lawmakers and the
public with in making
data-driven decisions by providing impartial data and objective analysis. GPS provides UNM students
with real-life job skills that will give them a strong, competitive advantage
over their peers after graduation.

We are seeking a detail-oriented,
self-motivated students from any degree program to contribute their expertise
in areas such as data analysis, data entry, verification, geocoding, and
publishing of traffic crash data. In addition to providing support and routine
maintenance of the traffic crash database, students will have ample
opportunities to expand their analysis or programming skills solving real-world
problems. GPS is looking to hire entry-level Student Data Analysts and train
them in data collection, GIS, and data analysis work using traffic crash data.
Whether you are new to programming or just starting your degree, that's okay,
as we can provide onsite training in a variety of languages and programs,
including SAS, SQL, and VBA, along with statistical data analysis, data
processing and integration, trend analysis, data entry and cleaning, GIS
services, web mapping, and geospatial analysis.

This
position requires an organized individual with a strong initiative to learn,
attention to detail, and excellent time management skills. In addition to
building a marketable resume other jobs perks include flexible work hours and
regular pay increases with marked progress.


Minimum Qualifications

Enrolled in a degree seeking program at UNM, Enrolled at least half-time (6 hours) at UNM for fall and spring semesters (Audit hours do not count), and if Work Study, you must meet Satisfactory Academic Progress.



Preferred Qualifications

Minimum Qualifications:

* Enrolled in a degree seeking program at UNM, at least half-time (6 hours).

* Can work a minimum of 10-20 hours a week.

* Ability to maintain confidentiality of records and information.

* Ability to follow instructions and adhere to protocols and procedures.

* Attention to detail.

* Works as a team member with staff and/or other student employees on various projects.

* Willing to perform miscellaneous duties as assigned.

Preferred Qualifications:

* Work Study students.

* Interest in database systems, spreadsheets and data analysis.

* Proficiency in at least one data analysis programming language (e.g., R, Python, SAS, SQL, VBA) through coursework, projects, or work experience

* Proven experience with data input, validation, and error correction processes.

* Applied knowledge of qualitative and/or quantitative research procedures.

* Prior experience or formal training in ArcGIS or ArcPro is preferred.

* Experience with statistical data analysis, data processing, and trend analysis.



Application Instructions

Only applications submitted through
the official UNMJobs site will be accepted. If you are viewing this job
advertisement on a 3rd party site, please
visit UNMJobs to submit an application.


Please include a cover letter and a copy of your class schedule

The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.



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