Business Strategy & Analytics Intern

MLSE (Maple Leaf Sports & Entertainment Partnership) • Toronto, ON

4d

About The Position

As part of the Business Analytics team, this intern role will support the development of predictive models, operational analytics, and AI-enabled business intelligence solutions across MLSE. You will have the unique opportunity to apply data science and cloud-based analytics tools to real-world sports and entertainment business problems, including in-venue operations, fan engagement, and performance marketing. As part of the Strategy and Analytics team, you will collaborate with stakeholders across ticketing, marketing, digital, venue operations, and food & beverage to translate complex data into actionable strategies that improve fan experience, operational performance, and commercial outcomes. MLSE's Internship term dates are from September 8, 2026 - December 18, 2026

Requirements

• Currently enrolled in a post-secondary program in Data Science, Analytics, Computer Science, Engineering, Mathematics, Statistics, Economics, Marketing Analytics, or a related discipline
• Experience analyzing data using Python and/or R, with working knowledge of SQL
• Strong analytical and problem-solving skills with the ability to translate business questions into data-driven solutions
• Experience building dashboards or analytical outputs using Power BI, Tableau, or similar visualization tools
• Strong written and verbal communication skills, with the ability to present insights to both technical and non-technical audiences
• Ability to manage multiple priorities, work independently, and collaborate effectively in a team environment
• Available to work full-time regular hours with flexibility around event-based work
• Team-first, curious, positive, and eager to learn in a fast-paced environment

Nice To Haves

• Hands-on experience using Databricks for data analysis, feature engineering, or model development is preferred
• Familiarity with cloud-based data architectures and analytics workflows, particularly in AWS, is an asset
• Academic or project-based experience building predictive or machine learning models is an advantage
• Exposure to performance marketing, digital analytics, or attribution modeling is a plus
• Interest in sports, live events, or entertainment analytics is highly desirable

Responsibilities

• Support the development and evaluation of predictive and machine learning models using Python or R
• Analyze in-venue operational data to support KPIs related to attendance, staffing, throughput, guest experience, and revenue
• Utilize AI and automation tools to enhance reporting, insight generation, and business intelligence workflows
• Analyze digital and performance marketing data across channels to assess campaign effectiveness, attribution, and ROI
• Support analytics and machine learning workflows in cloud-based environments, leveraging tools such as Databricks and AWS
• Create clear and compelling presentations, documentation, and storytelling materials to communicate insights to senior leaders and stakeholders
• Support strategic initiatives through data-driven research, analysis, and recommendations

Benefits

• MLSE will provide reasonable accommodation for qualified individuals with disabilities in the job application process.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed