Data Analyst
UNC-Chapel Hill
Full-time
On-site
Chapel Hill, North Carolina, United States
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
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