Python jobs in Singapore

Company Description

At Maple Leaf Sports & Entertainment Partnership(MLSE), we are committed to creating an inclusive workplace that is representative of our community and where all employees feel they belong and can reach their full potential. We are Canada’s preeminent leader in delivering top quality sport and entertainment experiences and one of North America’s leading providers of exceptional fan experiences. We are the parent company of the National Hockey League’s Toronto Maple Leafs, the National Basketball Association’s Toronto Raptors, Major League Soccer’s Toronto FC, the Canadian Football League’s Toronto Argonauts and development teams with the Toronto Marlies (American Hockey League), Raptors 905 (NBA G League), Toronto FC II (MLS NEXT Pro League) and Raptors Uprising Gaming Club, the Toronto Raptors Esports franchise in the NBA 2K League.

MLSE owns and/or operates all the venues our teams play and train in, including Scotiabank Arena, BMO Field, Coca-Cola Coliseum, Ford Performance Centre, BMO Training Ground, and OVO Athletic Centre. We also provide fans in Toronto with incredible live music and entertainment events, as well as exceptional culinary experiences through our restaurants (e11even and RS) and clubs (Hot Stove Club, ScotiaClub and Platinum Club). Through MLSE Foundation, we have invested more than $45 million into Ontario communities since 2009 and with MLSE LaunchPad, we provide a place where youth facing barriers use sport to recognize and reach their potential.

We achieve all of this through our Common Purpose - to unite and empower our employees to create extraordinary moments for our fans and each other. Come be a part of the team.

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.

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.

Please apply no later than Aug 6, 2025

We thank all applicants for their interest, however, only those selected for the information session will be contacted.

At MLSE, we are committed to building an equitable, diverse and inclusive organization. We are an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. MLSE will provide reasonable accommodation for qualified individuals with disabilities in the job application process. If you have difficulty using our online application system and you need an accommodation due to a disability, please email accommodations@mlse.com. Please note this email is only for accommodation requests. Resumes sent to this email address will not be considered.