Coaching Analyst

Spurs Sports & Entertainment; San Antonio (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

Spurs Sports & Entertainment is seeking a data analytics professional to translate basketball needs into statistical analyses. You will work with coaching staff to analyze team philosophy, player development, lineups, and game strategy, while performing ad hoc data mining and developing studies related to game strategy.

You will collaborate with the Basketball Operations Analytics team to ensure consistent methodologies and clear communication of results to coaches and staff, with a willingness

Qualifications

• Familiar with statistical techniques (regression, hypothesis testing).
• Strong SQL/Python/R skills for data extraction and analysis.
• Knowledge of data visualization and communicating results.

Responsibilities

• Interpret basketball needs and translate into statistical processes.
• Collaborate with coaching analytics and ops to align methodologies.
• Analyze team and opponent data for game strategy and player development.
• Perform ad hoc data mining on large basketball datasets using SQL, Python, or R.
• Communicate findings to coaches and staff regularly.
• Support data infrastructure and reporting improvements.

Skills

SQL

Python

R

Data visualization

Basketball analytics

Communication

Attention to detail

Interpersonal skills

Driver’s license

Non-traditional hours

Statistics

NBA knowledge

Tools

SQL

Python

R

Job description

At Spurs Sports & Entertainment (SS&E), we work in service of something bigger than ourselves. It is so much more than just a game or concert. It takes all members of our Spurs team to harness the power of sports and entertainment to create moments that excite, memories that endure, and connections that strengthen our community. SS&E owns and operates the San Antonio Spurs (NBA), Austin Spurs (NBA G‑League), and the San Antonio FC (USL), and manages day‑to‑day operations of the Frost Bank Center, Toyota Field, and STAR Complex. We know that our people are our greatest assets as an organization. We aspire to provide our teams with meaningful work, to live our values—Integrity, Success & Caring—day‑to‑day in what we do and foster an inclusive culture for our 1K+ employee workforce.

Who You Are

• Strong analytical skills, including an understanding of how to interpret basketball needs and then 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 a 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.

In every position, each employee is expected to demonstrate alignment with SS&E’s core values and mission, collaborate with internal/external community members and demonstrate ongoing development.

SS&E is an Equal Opportunity Employer

Nothing contained in this job description is intended to be a contract of employment, nor does any information contained here represent a guarantee of employment for a specific duration. Your employment with SS&E is “at will", which means that either you or SS&E may terminate the relationship at any time. Essential functions listed above must be performed with or without accommodations.