Analyst, Fan Insights (12-Month Contract)

Maple Leaf Sports & Entertainment Ltd.; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading sports and entertainment organization in Toronto seeks a passionate Analyst to support business decision-making. This role involves executing research initiatives, analyzing data with Python or R, and collaborating with various teams to generate insights. Ideal candidates will have 2–4 years of relevant experience and strong communication skills, along with a keen interest in sports and fan engagement.

Qualifications

• 2–4 years of experience in market research or related fields.
• Hands-on experience with primary research design and execution.
• Demonstrated ability to analyze data using Python or R.

Responsibilities

• Support the design and execution of primary research studies.
• Analyze qualitative and quantitative data to generate insights.
• Prepare presentations that communicate insights to stakeholders.

Skills

Market research

Data analysis with Python

Data analysis with R

SQL querying

Communication skills

Presentation skills

Tools

PowerBI

Databricks

Job description

Job Description

We are seeking a research-savvy, analytically minded Analyst to join our Business Analytics team for a 12 month Contract. This role is ideal for someone who is passionate about understanding fans, uncovering insights from data, and supporting business decision-making across marketing, ticketing and venue operations.

As an Analyst, you will help design and execute research initiatives, perform analysis using Python or R, and work closely with internal partners and external vendors. You will bring curiosity, storytelling, and technical rigor to every project — from building fan personas to supporting marketing campaign strategy to developing predictive models with the Data Science team.

Key Responsibilities

• Support the design and execution of primary research studies (e.g., surveys, interviews, focus groups) from end to end — including methodology design, instrument development, and vendor coordination.
• Analyze qualitative and quantitative data to generate meaningful fan insights.
• Build or refine personas, fan journeys, and audience segmentation frameworks using research and behavioral data.
• Prepare engaging presentations that communicate insights to stakeholders in Marketing, Sales, and Digital Labs.
• Analyze structured and unstructured data using Python or R including forecasting, regression, and clustering techniques.
• Write SQL queries to retrieve data from fan, ticketing, and marketing databases.
• Contribute to PowerBI or Databricks dashboards, models, and tools in collaboration with Business Intelligence and Data Science colleagues.
• Explore opportunities to scale insights by applying statistical techniques to enhance targeting, campaign effectiveness, and fan engagement strategies.
• Work closely with Marketing, Partnerships, Ticketing, Digital Labs, and external research vendors to meet shared business objectives.
• Act as a collaborative partner in brainstorming sessions, campaign planning, and brand strategy development.
• Translate findings into clear, concise narratives tailored for non-technical audiences.

Qualifications

Note : Before reviewing the qualifications listed below, we want you to know that we understand you may not meet all the qualifications described and have other relevant expertise and experience. We invite you to please share this with us in the "Message to the Hiring Manager" section of our online application.

2–4 years of experience in market research, marketing analytics, business analytics or related fields (agency, consulting, or in-house).

Hands-on experience with primary research design and execution (quantitative and qualitative).

Demonstrated ability to analyze data using Python or R (must be comfortable working outside Excel).

Working knowledge of SQL for data querying and manipulation.

Familiarity with techniques like forecasting, segmentation, or significance testing.

Strong communication and presentation skills.

Experience working in or with sports, entertainment, or consumer brands is a plus.