Associate Coaching Analytics

Madison Square Garden Entertainment Corp. (MSG Entertainment) is a leader in live entertainment, delivering unforgettable experiences while forging deep connections with diverse and passionate audiences. The Company’s portfolio includes a collection of world-renowned venues – New York’s Madison Square Garden, The Theater at Madison Square Garden, Radio City Music Hall, and Beacon Theatre; and The Chicago Theatre – that showcase a broad array of sporting events, concerts, family shows, and special events for millions of guests annually. In addition, the Company features the original production, the Christmas Spectacular Starring the Radio City Rockettes, which has been a holiday tradition for 90 years. More information is available at www.msgentertainment.com. 

Overview:

The New York Knicks are seeking a talented and driven Coordinator of Coaching Analytics to join our team. This role is pivotal in enhancing our team’s performance through advanced data analysis, strategic insights, and robust reporting. The ideal candidate will possess strong SQL skills, expertise in data science, and proficiency in at least one of R or Python, paired with exceptional report-building capabilities.

Key Responsibilities:

• Data Analysis & Interpretation:
• Utilize SQL to extract, clean, and manipulate large datasets from various sources.
• Develop and apply advanced statistical models to derive actionable insights.
• Analyze game and player performance data to support coaching strategies, in-game decisions and enhance player development.
• Reporting & Visualization:
• Design and create comprehensive reports to communicate key findings and trends to coaching staff and management.
• Develop visualizations that effectively convey complex data insights to stakeholders.

Qualifications:

• Technical Skills:
• Proficiency in SQL for database querying and management.
• Strong expertise in at least one programming language such as R or Python, with a focus on data analysis and statistical modeling.
• Experience with data visualization tools and techniques.
• Data Science Expertise:
• Demonstrated experience in applying data science methodologies to real-world problems, ideally in a sports or performance-focused context.
• Ability to develop and interpret complex statistical models and algorithms.
• Report Building & Communication:
• Proven ability to create clear, actionable reports and visualizations that support strategic decision-making.
• Strong communication skills with the capability to explain technical concepts to non-technical audiences.
• Education & Experience:
• Bachelor’s degree in Data Science, Statistics, Computer Science, Sports Analytics, or a related field.
• Minimum of 2-3 years of experience in a data analysis role, with a focus on sports analytics being highly desirable.
• Personal Attributes:
• Analytical mindset with strong problem-solving skills.
• High level of attention to detail and accuracy.
• Ability to work collaboratively in a fast-paced, team-oriented environment.

At MSG, we recognize the importance of upskilling employees’ talents and strengths so they can drive their careers forward. We are proud to offer a robust set of tools and resources to help employees understand their interests and purpose, harness their talents and obtain the skills they need to reach the next step in their careers. Growth and longevity for our employees are top priorities here.

We value diversity and are looking for extraordinary employees of all backgrounds! MSG is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, sexual and reproductive health choices, national origin, citizenship, age, genetic information, disability, or veteran status. In addition to federal law mandates, MSG complies with all applicable state and local laws governing nondiscrimination in all locations and will consider requests for reasonable accommodations as required.