Data Analyst

We are partnering with an innovative Canada-based online sportsbook and casino to appoint a commercially focused Data Analyst. Reporting to the Head of Data & Analytics, this role sits at the heart of strategic decision-making, transforming complex data into actionable insights that drive product performance, marketing effectiveness, and player engagement.

This opportunity is ideal for an experienced analyst who thrives in fast-paced digital environments and enjoys influencing business direction through advanced analytics, experimentation, and scalable reporting solutions.

As a Data Analyst, you will lead high-impact analytical initiatives and champion data-driven decision-making across the business.

Key responsibilities include:

• Partner with stakeholders to translate business questions into structured analytical solutions
• Apply advanced statistical methods, A/B testing, and experimental design to inform strategic decisions
• Analyse player behaviour, segmentation, lifecycle performance, retention, and bonus campaign effectiveness
• Write and optimise complex SQL queries to extract and structure data
• Use Python (and ideally PySpark) to clean, transform, and analyse large datasets
• Design scalable dashboards and reporting frameworks in Power BI
• Define and track core business metrics and performance KPIs
• Communicate clear, strategic recommendations to senior stakeholders
• Mentor junior analysts and contribute to technical best practices

All About You

We are seeking a commercially minded Data Analyst with strong technical expertise and experience in marketing or player analytics.

You will bring:

• 5+ years experience in data analytics, ideally within online gaming, sportsbook, or digital consumer sectors
• Strong hands-on experience in marketing analytics, campaign performance analysis, segmentation, and lifecycle modelling
• Advanced knowledge of SQL and Python (PySpark preferred)
• Experience designing dashboards in Power BI or equivalent BI tools
• Knowledge of cloud data platforms such as Snowflake or Databricks
• Experience with predictive modelling, experimentation, and statistical analysis
• Strong project ownership and the ability to manage multiple analytical initiatives
• Excellent communication and storytelling skills for non-technical audiences

A Bachelors or Masters degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, or Data Science is preferred.

Additional Information

• Fully remote opportunity (Canada-wide)
• Competitive compensation and 100% employer-paid premium benefits
• Strong leadership visibility and mentorship opportunities
• High-growth, collaborative culture built on transparency, integrity, and continuous improvement
• This position does not use artificial intelligence during the hiring process

If you are a data-driven problem solver looking to make a measurable impact in a scaling digital business, we would love to tell you more!