Senior Data Analyst

Job Overview

BET99 is Canada's Premiere Online Sportsbook and Casino. Launching 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!

As a Senior Data Analyst, you’ll be at the forefront of strategic decision-making - turning complex data into insights that drive business success. You bring deep analytical expertise, curiosity to explore complex problems, and a drive to help teams make better decisions. In our fast-paced online sports-book and casino environment, you’ll lead high-impact analytical initiatives, design scalable solutions, and influence how data informs decisions across the business. You’ll also mentor analysts, advocate for data-driven thinking, and contribute to a culture of excellence grounded in challenging the status quo, trust, transparency, integrity, and collaboration.

Responsibilities:

• Partner with stakeholders to gather requirements, define analytical goals, and translate business questions into data solutions.
• Apply advanced statistical methods and exploratory analysis to guide strategic decisions in product, marketing, and player engagement.
• Use Python (and PySpark where appropriate) to clean, transform, and analyze large, complex datasets.
• Design and scale dashboards and reporting frameworks in Power BI to support business visibility and planning.
• Lead analyses of player behaviour and bonus campaign performance, including segmentation, lifecycle modelling, and retention optimization.
• Write and optimize complex SQL queries to extract and structure data from various sources.
• Communicate findings clearly through strategic recommendations tailored for senior stakeholders.
• Define and track core business metrics; design and evaluate A/B tests and experiments.
• Mentor junior analysts, contribute to technical development, and uphold quality through code reviews.
• Drive automation and scalable reporting solutions to improve efficiency and reliability.
• Ensure outputs are accurate, validated, reproducible, and actionable.

Skills and Qualifications:

• 5+ years of experience in data analytics, ideally in online gaming, sports-book, or digital consumer sectors.
• Bachelor’s or Master’s degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Data Science).
• Advanced knowledge of statistical techniques including A/B testing, experimental design, and predictive modelling.
• Expertise in SQL and Python; PySpark experience preferred.
• Proven experience designing and building effective dashboards in Power BI or equivalent tools.
• Familiarity with modern cloud data platforms (e.g., Snowflake, Databricks).
• Strong project ownership and ability to manage multiple complex initiatives.
• Experience mentoring team members or leading technical efforts.
• Exceptional communication and storytelling skills, especially for non-technical audiences.
• High standards of accuracy, integrity, and continuous improvement.