The Hourly Data Analyst is a critical role responsible for executing high-impact research and analytical tasks across two distinct academic fields: educational technology and engineering. This position involves independent research, including the development and testing of a student performance monitoring application, applying necessary IRB protocols for educational data analysis, and utilizing data modeling algorithms to interpret complex additive manufacturing experiment data. The Analyst reports to a graduate student and the faculty advisor, operating within Dr. Miri's research group, and plays a central part in driving data-driven insights and scholarly output.