Data Analyst

Job Overview BET99 is Canada's Premiere Online Sportsbook and Casino. Launched in 2020, we have consistently innovated the online gaming landscape every step of the way, exponentially growing our customer base and, in turn, our internal BET99 team! We’re a fast-paced company and are looking for individuals who live and breathe our core values: challenging the status quo, trust, transparency, integrity, and collaboration.

As a Data Analyst, you will play a key role in helping teams across the business make informed decisions by translating data into clear, actionable insights. You bring strong analytical skills, curiosity to explore business problems, and the ability to communicate findings effectively to non-technical stakeholders. In our fast-paced online sportsbook and casino environment, you’ll work closely with stakeholders in product, marketing, and operations to analyse performance, surface insights, and support data-driven decision-making.

You’ll contribute to building reliable, scalable analytics and reporting while continuously developing your technical and analytical capabilities Vacancy Status: New Responsibilities Partner with stakeholders to understand business questions and translate them into analytical tasks and data requirements Analyse datasets to uncover trends, patterns, and insights related to player behaviour, marketing performance, and operational KPIs Write clear, efficient SQL queries to extract and structure data from Snowflake and other sources Use Python where appropriate to clean, transform, and analyse data Build and maintain dashboards and standard reports in Power BI to support ongoing business visibility Deliver campaign and product analysis, including segmentation, funnel analysis, and performance tracking Contribute to defining, documenting, and monitoring core business metrics Communicate insights through clear narratives, visualisations, and written summaries tailored to different audiences Own analytical tasks end-to-end with minimal supervision, escalating ambiguity or data quality issues when appropriate Collaborate with data engineering and analytics teammates to ensure data quality, consistency, and scalability of outputs Requirements 2–5 years of experience in a data analyst or business intelligence role Strong SQL skills and experience working with analytical databases (Snowflake experience is a plus) Hands-on experience with BI tools, ideally Power BI Working knowledge of Python for data analysis Experience analysing product, customer, or operational data (experience in iGaming or digital products is a plus but not required) Solid understanding of metrics, KPIs, and basic statistical concepts Ability to communicate insights clearly to both technical and non-technical stakeholders A pragmatic, detail-oriented mindset with a desire to continuously improve analytics and reporting Nice to Have Experience with experimentation or A/B test analysis Exposure to dbt or analytics engineering concepts Why Join BET99? Come for the career… stay for the culture. Canada-wide remote freedom - your office is anywhere you want it to be.

Time off that feels good - paid vacation, paid sick days, plus your birthday off on us. Early access to leadership - meet the CEO in your first 30 days and see how your work truly makes an impact. Open-door leadership style - transparency and collaboration are core to how we operate.

Premium benefits - 100% employer paid, for you and your family. Built-in career acceleration - Mentorship Programs led by industry veterans. A community you’ll want to be part of - book clubs, monthly employee events, cross-team fun, and more.

Bring a friend, earn a bonus - our referral program rewards great connections. Regular recognition programs - so your great work never goes unnoticed. Modern tools and tech - making your job smoother, not harder.

A streamlined onboarding process - hit the ground running with confidence. A company that invests in long-term relationships , not quick wins. Disclaimers: This position does not use artificial intelligence during the hiring process.