Betty is an innovative entertainment company pioneering at the intersection of real-money online casinos and casual mobile gaming.
Betty Canada is a scale up company accredited by the Alcohol and Gaming Commission of Ontario (AGCO) as a B2C operator in February 2023, we’ve set a new standard in the industry.
Our mission is to redefine the online casino experience by offering a uniquely transparent environment where players can relax, unwind, and enjoy themselves safely. We are committed to accessibility, fairness, and inclusivity, fostering a community of like-minded individuals who value ethical gaming practices and prioritize our players’ safety and enjoyment above everything else.
Our Values:
•
We are honest - we value honesty in all aspects.
•
Bring the Olives - we offer premium customer experience.
•
Think Big - we believe in always striving for more.
Key Responsibilities:
•
Own deep-dive analysis of player and commercial behavior — where value is created, where it leaks, and what we should do about it.
•
Form and test hypotheses about why things happen, and turn the answer into a recommendation — including how it affects our players.
•
Work with large event-level data in Redshift to run deep-dives and ad-hoc investigations.
•
Lead advanced analyses: cohort analysis, segmentation, LTV and retention modelling, funnel optimization, effectiveness measurement.
•
Find opportunities and inefficiencies across player segments, games, providers, payment flows, and channels.
•
Run ad-hoc analysis to support business initiatives, product launches, and marketing campaigns.
•
Support experimentation and A/B testing: define success metrics, analyze results, and know when a result is real.
•
Build and maintain the reporting the business runs on, from the tables underneath to the dashboards on top.
•
Present findings and recommendations credibly to any audience, up to C-level.
What we’re looking for:
•
3+ years in data analytics — ideally iGaming, gaming, fintech, or another high-volume consumer-transaction environment.
•
Advanced SQL, with Redshift or a comparable cloud data warehouse.
•
Hands-on Tableau, or a comparable BI tool.
•
Deep knowledge of commercial and behavioral KPIs: LTV, ARPU, retention, churn, cohort behavior, conversion funnels.
•
Experimentation and statistical reasoning, including an instinct for correlation vs. causation.
•
The ability to work with messy, incomplete, evolving data and still produce something reliable.
•
Clear communication — you can explain a complex analysis to someone who doesn’t want the detail, and manage expectations honestly.
•
Being comfortable in a fast-paced environment.
Nice to have:
•
Online casino experience from any part of the business