Student Developer & Data Analyst
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Role details
Tech stack
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Job description
Supports the Auburn University Subject Matter Experts (AUSME) development team by assisting with programming tasks, data analysis, and system improvements. Responsibilities include implementing new features in Python, managing MySQL databases, working with server-side components, version control (GitHub), and handling data analytics tasks such as dataset management, data quality checks, and performance reporting. This position offers hands-on experience working on a real production system used across Auburn University. Check out our current tool at: Responsibilities
- Assist with the development of new Auburn University Subject Matter Experts (AUSME) system features using Python.
- Work with MySQL to query, update, and maintain Auburn University Subject Matter Experts (AUSME) datasets.
- Support server-side scripts, data pipelines, and backend processes.
- Use GitHub for version control, issue tracking, and collaboration.
- Perform data analytics tasks, including dataset validation, data cleaning, data visualization, and generating usage or performance reports.
- Analyze Google Analytics and other system metrics to support decision-making.
- Help review and curate AUSME data to ensure accuracy and consistency.
- Collaborate with the Auburn University Subject Matter Experts development team to troubleshoot bugs, test new features, and ensure smooth system operation., * Gain valuable work experience! Student employment allows you to explore different interests, identify strengths, and make informed decisions about your future career goals.
- Build your network! Interacting with faculty, staff, and fellow students can lead to valuable connections and potential mentors.
- Make a difference! Have the satisfaction of knowing YOU are a part of providing the premier academic experience at Auburn and the life-changing work our students and employees perform.
Requirements
- Enrolled student at Auburn University
Minimum Knowledge, Skills, and Abilities
- Proficiency in Python (ability to write scripts, handle data, and work with APIs).
- Familiarity with MySQL or other relational databases.
- Experience with GitHub or other version control tools.
- Understanding of server-side scripting or willingness to learn.
- Experience or interest in data analytics
- Experience with Google Analytics (preferred but not required).
- Highly attentive to detail.
- Curiosity, creativity, and willingness to learn new technologies.
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