Student Programming Analyst

3 weeks ago


Albuquerque, United States University of New Mexico Full time

Student Advanced Level Requisition ID req35200 Working Title Student Programming Analyst Pay $16.00 - $17.00 Hourly Campus Main - Albuquerque, NM Department Geospatial and Population Studies (069D) Employment Type Student Employment Student Type Status Non-Exempt Background Check Required For Best Consideration Date 12/5/2025 Position Summary The University of New Mexico's Center for Geospatial and Population Studies (GPS) maintains New Mexico's traffic crash database for the New Mexico Department of Transportation and serves as the New Mexico State Demographer's Office. We assist New Mexico government agencies, lawmakers and the public 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 student from any degree program to contribute their expertise in areas such as data analysis, data integrity, and data 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, utilizing industry-standard tools for statistical data analysis, database management, and geospatial services, with onboarding provided for specialized institutional software. 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, job perks include flexible work hours, a professional reference upon successful completion of the assignment, and the convenience of an on-campus work location. 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. • Demonstrated knowledge of at least one programming language (e.g., Python, R, JavaScript, SQL, HTML/CSS) acquired through coursework, projects, or prior experience. • 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. • Proficiency in a specific object-oriented (e.g., Python) or general-purpose programming language. • Experience with front-end web development languages and frameworks (e.g., JavaScript, CSS, HTML) or interest in website design and embedded applications/APIs. • Familiarity with database management, including common SQL tasks and scripting. • Experience with data input, validation, and error correction processes. • Applied knowledge or interest in data analysis and statistical concepts, potentially using statistical software (e.g., R, SAS, or SPSS). • Familiarity with basic software development lifecycle concepts (e.g., documentation, testing/QA). • Prior experience using Git or other code versioning/repository applications. • Familiarity with data visualization tools (e.g., Tableau, Power BI, or Shiny apps). • Prior experience or formal training in ArcGIS or ArcPro. 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. • Cover letter• Copy of 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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