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 dataUse 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! #J-18808-Ljbffr