Student Data Analyst

Overview

The Auburn University Radio Frequency Identification (RFID) Lab is seeking a Student Data Analyst to join the Data Team, where you will work on real-world projects involving data analysis, automation, and problem-solving. This role is ideal for students looking to gain hands-on experience in data processing, analytics, and workflow automation while contributing to innovative research and industry solutions.

Responsibilities

• Develop and automate data workflows for analysis and reporting.
• Collaborate with researchers, engineers, and industry partners to solve complex data problems.
• Analyze datasets to extract meaningful insights and identify trends.
• Adapt quickly and take initiative in a fast-paced research environment.

Qualifications

Enrolled student at Auburn University

Minimum Knowledge, Skills, and Abilities

• Strong analytical and problem-solving skills
• Basic understanding of data concepts (joins, filtering, aggregation)
• Ability to work independently, learn quickly, and adapt to new technologies
• Knowledge of Python or Excel for data analysis
• Preferred experience with SQL (querying, filtering, and managing datasets).
• Experience working with relational databases.
• Comfortable working with large datasets and maintaining attention to detail.

Why Work at Auburn?

Why should YOU consider student employment at Auburn University?

• 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.

Equal Opportunity Compliance Statement

It is our policy to provide equal employment and education opportunities for all individuals without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, age, disability, protected veteran status, genetic information, or any other classification protected by applicable law. Please visit the Office of Equal Opportunity Compliance's website to learn more.