Data Analyst

Position Summary

Analyze potential prospects’ performance data to prepare in-depth profiles and evaluations of prospects. Create reports, dashboards, and presentations to help guide informed recruiting decisions. Identify ‘best fit’ prospects. Use machine learning and statistical models/analysis to forecast roster fit and performance. Maintain and update recruiting database. Assist with scouting and recruiting.

Required Qualifications, Competencies, And Experience

Strong understanding of advanced basketball metrics (e.g., PER, offensive/defensive efficiency, shot charts). Ability to communicate complex data insights in a clear and actionable manner.

Preferred Qualifications, Competencies, And Experience

Exposure to data science, Statistics, Sports Analytics, or a related field. Proficiency in Excel, SQL, Python, R, or other data analysis tools. Experience with sports analytics platforms (e.g., Synergy Sports, HDI, Hudl, SportVU).

Work Schedule

Monday – Friday, 8:00 AM – 5:00 PM and occasional weekends and holidays