Coaching Analyst

San Antonio Spurs; San Antonio (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

San Antonio Spurs is seeking a Coaching Analyst to help integrate analytics into day-to-day coaching operations. You will develop analytical tools, perform ad hoc analyses, and promote data-driven decision making across Basketball Operations.

The role requires advanced skills in SQL, Python or R, data visualization, and a solid understanding of basketball analytics and NBA rules. The successful candidate will collaborate with coaching staff, manage multiple data sources, and communicate findings

Qualifications

• Strong analytical skills and ability to translate basketball needs into statistical analyses.
• Working knowledge of SQL and database design.
• Proficiency in Python, R, or similar data analysis tools.
• Knowledge of data visualization and ability to create compelling graphics.
• Understanding of NBA rules, statistics, and public/proprietary resources.
• Excellent communication with staff across quantitative backgrounds.

Responsibilities

• Leverage analytical skills to interpret basketball needs and translate them into statistical processes.
• Partner with coaching staff to analyze team philosophy, player development, lineups, and strategy.
• Work with staff on game-by-game analysis of opponents, including scouting, adjustments, and review.
• Collaborate with Manager of Coaching Analytics and Basketball Operations Analytics to align methodologies, reporting, tools and data infrastructure.
• Perform ad hoc data mining on large basketball datasets via SQL, Python, or R.
• Develop and implement basketball studies related to game strategy.
• Communicate statistical findings to coaches and staff on a regular basis.
• Other related duties as assigned.

Skills

SQL

Python

R

Data visualization

Basketball analytics

Communication

Organizational skills

Driver's license

Time management

Travel availability

Job description

The Coaching Analyst position is responsible for supporting the integration of analytics into the day-to-day functioning of the coaching staff, as well as assisting Basketball Operations as a whole. The focus of this is developing and implementing analytical tools and analysis for the coaching staff, along with providing ad hoc analysis. As an advocate for analytics throughout Basketball Operations, provide an enthusiastic, process-driven, and innovative approach to promoting and developing the team’s analytical capabilities.

Who You Are

• Stronganalytical skills, including an understanding of how to interpret basketball needs and the translate them into statistical analyses.
• Familiar with basic statistical analysis techniques (e.g., regression/modeling, hypothesis testing, categorical data analysis)
• Working knowledge of SQL and database design
• Demonstrate moderate-to-advanced knowledge, skill, and expertise in Python, R, and/or other tools used for data analysis
• Knowledge of data visualization with the ability to develop graphics
• Working knowledge of the NBA, the NBA rules & regulations
• Knowledge of advanced basketball statistics, and common basketball statistical resources, both public and proprietary
• Possess excellent interpersonal skills, including the ability to communicate with staff possessing varying levels of quantitative background, such as management, coaches, medical staff, and athletes
• Have strong organizational skills, with robust attention to detail, in regards both to checking and working with data, as well as visual presentation of deliverables and reports
• Valid driver’s license
• Must be punctual and accountable daily
• Must be trustworthy and have a positive attitude
• Must be available for a high volume of non-traditional work hours, weekend and holiday work, and 40+ hours/week and travel.

What You’ll Do

• Leverage analytical skills and knowledge of advanced basketball statistics to interpret basketball needs and translate them into statistical processes.
• Partner with the coaching staff in analysis of team and basketball philosophy, including optimizing player development, player performance, lineups, and overall scheme-related strategy.
• Work with coaching staff on game-by-game analysis of opponents, including pre-game scouting, in-game adjustments, and post-game review.
• Collaborate with Manager of Coaching Analytics and the broader Basketball Operations Analytics department to ensure alignment across analysis methodologies, reporting, tools and data infrastructure.
• Perform ad hoc data mining on large volumes of basketball-related data as requests arise, via SQL, Python, R, or other statistical tools.
• Develop and implement basketball studies related to game strategy.
• Implement processes for regularly communicating statistical findings to coaches and staff.
• Other related duties as assigned.