Data Processing Support – Student Experience (Open to Work Study and Non-Work Study)
The University of Texas at AustinAbout the role
Job Posting Title:
Data Processing Support – Student Experience (Open to Work Study and Non-Work Study)----
Hiring Department:
Governmental Affairs and Initiatives----
Position Open To:
All Applicants----
Weekly Scheduled Hours:
15----
FLSA Status:
Non-Exempt from FLSA----
Earliest Start Date:
Immediately----
Position Duration:
Expected to Continue Until Dec 31, 2025----
Location:
AUSTIN, TX----
Job Details:
Work-Study Job Information
Jaime Babcock - Supervisor
Remote in Austin area
No evaluations
New OnRamps student employee pay $12.00 hourly. Returning OnRamps student employee pay $13.00 hourly. Returning 2 years or more OnRamps student employee pay $14.00 hourly. Professional development completion and Returning 2 years or more OnRamps student employee pay $14.50
Position will end on December 31, 2025
Position only available to undergraduate students
General Notes
OnRamps prepares students and teachers for success in the classroom and beyond. We build partnerships across K12 and higher education to raise the bar on dynamic experiences that advance student success while lowering barriers to access and opportunity.
Purpose
The Data Processing Support Student Associate position supports the Student Experience Manager in the strategic and tactical aspects of the OnRamps remote grading and student grading team. With a dynamic team of 1000+ education professionals and more than 30,000 students, the Data Processing Support Student Associate will manage and analyze data, prepare reports, and use measures of success in analytics. This position will also provide sustained contributions to prepping and auditing invoices, maintaining process integrity, quality control, and data hygiene for ongoing initiatives. Students in this position are also expected to provide administrative assistance related to ongoing OnRamps remote grading team hiring, onboarding, scaled communications, learning management system maintenance, and just-in-time assistance with seasonal and urgent projects.
Responsibilities
Assists the Student Experience Manager with day-to-day operational aspects of remote grading team management within OnRamps, pursuing excellence in all aspects of project and customer service delivery.
Prepares invoices, writes formulas, and audits payments with supervision of Student Experience manager.
Performs data entry, summarizes findings, creates reports (including charts and graphs), maintains systems of statistical information, and engages in other Quality Control measures to support new and existing student and remote grading team management projects as needed.
Provides administrative assistance related to ongoing OnRamps student and remote grading team hiring, onboarding, and invoicing needs including but not limited to writing and editing processes, guides, checklists, and assets according to best practices.
Supports in Canvas Learning Management system and developing professional development assets and engage in continuous improvement processes toward achievement of Student Experience objectives.
Required Qualifications
Current student at The University of Texas at Austin
Data management and analysis skills
Strong knowledge of Excel and/or formula writing
Basic computer skills: Word, Excel, PowerPoint
Punctual, reliable, responsible
Self-motivated and committed
Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
Academic interest in education, data science and/or visualization, or related field
Experience in finance and accounting
Experience working in a professional office environment
Experience with Canvas or other Learning Management System (LMS), Smartsheet or other project management platform
Advanced data management and analysis skills, including the ability to perform basic frequency data analysis
Salary
$12.00 - $14.50 hourly
Working Conditions
May work around standard office conditions.
Repetitive use of a keyboard at a workstation.
Remote work environment
Use of manual dexterity
Requir
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