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About the Role

We're building a world-class subscription business that delights kids and earns the trust of parents. This role will be the analytical link between raw data and business growth, explaining KPI movements and recommending next steps.

Responsibilities

• Be a first-class thought partner to product, business, finance, and executives to guide decisions.
• Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, and statistical tools.
• Develop scalable, reusable data products like self-serve dashboards, forecasting tools, and segmentation pipelines.
• Identify and measure key levers to influence essential metrics, providing recommendations grounded in statistical rigor and hypothesis testing.
• Provide insights to help the cross-functional team understand industry dynamics, subscriber dynamics, and long-term trends.
• Work backwards from understanding and sizing problems to ideating solutions.
• Report against goals by identifying essential metrics and building executive-facing dashboards.
• Collaborate effectively with product, marketing, finance, and data engineering to set priorities.

Requirements

• 4+ years of experience in data analytics or data science, growth analytics, ideally in a B2C subscription, mobile app, or consumer product business.
• Ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
• Determination to initiate and lead/own strategic projects to completion with a cross-functional team.
• Experience working with experimentation techniques (A/B testing, hypothesis testing) and interpreting results.
• Proficiency in at least one programming language (Python).
• Expertise with SQL queries.
• Experience developing and using business intelligence tools, such as Preset, Tableau, and Looker.
• Experience building and training statistical and machine learning models (classifiers, regression models...).
• Experience working with user segmentation, cohort analyses, time series analyses.
• Experience with Apple Store and Google Play data.
• Exposure to causal inference methods (e.g., diff-in-diff, propensity matching) is a plus.

Skills

• SQL
• Python
• Statistical tools
• Business intelligence tools (Preset, Tableau, Looker)
• Statistical models
• Machine learning models
• User segmentation
• Cohort analyses
• Time series analyses
• Experimentation techniques (A/B testing, hypothesis testing)
• Causal inference methods

Location

• Ontario

Work Type

• Hybrid

Experience Level

• 4+ years

Salary/Compensations

• $100,000 to $115,000 Per Annum

Benefits

• Growth and Career Opportunities
• Flexible Work Hours
• Innovation, Collaboration and Fun
• Comprehensive Benefits
• Other fun Perks!

About the Company

• Spin Master is a leading global children's toy, entertainment, and digital gaming company.
• Our unwavering commitment to open mindedness, integrity, and innovation is a great part of what has made us an industry leader.
• Our mission is to Make Life More Fun with a vision to push the boundaries of innovation, creativity, and fun.
• Spin Master is a fast-paced, hands-on organization that provides many great opportunities for impactful decision-making.
• We have a proven record of opportunities for future advancement and internal transfers for our passionate and results driven team.

Equal Opportunity

• Everyone is welcome in our sandbox and we are committed to an accessible and inclusive hiring process that provides reasonable accommodation to all applicants.
• Spin Master strives to create an accessible and inclusive application and selection process and is committed to working with and providing reasonable accommodation to job applicants who may require provisions to participate in the recruitment, selection and/or assessment processes. Should you require an accommodation, please contact our Talent Acquisition team, by email at TAinquiries@spinmaster.com or by phone at 416 364-6002 and we will work with you to meet your accessibility needs.