Senior Data Analyst (Poker Job Toronto area,Ontario Canada,IT/Tech

Position: Senior Data Analyst (Poker)

Zynga Poker is seeking a Senior Data Analyst to help drive decisions that impact millions of players worldwide
As part of our analytics team, you’ll play a crucial role in shaping the future of our game through data-driven insights
Collaborate with the Product team to enhance revenue, retention, and engagement metrics. This includes conducting A/B testing, performing insights analysis, and developing dashboards
Analyze player behaviour to understand motivations and preferences, partnering with game design and consumer insights teams to translate findings into actionable experience improvements
Design and maintain ETL pipelines to extract, transform, and load data from multiple sources, ensuring source of truth for analyses and business intelligence
Design game telemetry to capture meaningful player interaction data to improve the game experience
Design and maintain a suite of highly visible dashboards used by game leadership and game designers to make strategic decisions for Zynga Poker
Support the economy team in tuning the different features in the game to optimize for long term game and feature health
Play a leading role in the design and continuous improvement of our fraud and bad actor models
Actively play and engage with our games to maintain first‑hand understanding of player experience, game mechanics, and potential pain points
Monitor and maintain the integrity of a wide range of tools and models used to streamline workflows and personalize the player experience, in collaboration with other data analysts and scientists on the team
Participate in and contribute to the Analytics Org’s AI initiative, which aims to significantly increase each analyst’s impact through the power of LLMs
Continuously learn about analytics best practices, and actively share and promote these practices across various games and teams

Benefits

WELLNESS
- Gym benefits, wellness programs, employee assistance programs and generous time‑off policies
FOOD
- Food and snacks made in‑house or delivered, healthy snack kitchens with drinks and treats, coffee bars, regular social gatherings and happy hours
WORK & LIFE
- Flexible time‑off policies (DTO), office rest areas, gaming spaces, employee discounts and more
TRANSIT BENEFITS
- Shuttle service in select locations, commuter/parking benefits, secure bicycle storage, business travel assistance
RESOURCE GROUPS
- Women at Zynga (WAZ), zCares charitable giving, zParents, zEndurance adventure club, BZU, zPride LGBTQ+ inclusion and belonging
COMPENSATION
- Performance bonuses, opportunities for equity participation & retirement/pension savings support
HEALTH
- Medical, dental & vision covered for employees, with participation for employees eligible dependents, plus disability and life insurance program
FAMILY
- Generous parental leave for birth parents, partners and adoptive families, plus Infertility support, emergency child care and flexible time‑off policies

Demonstrated experience guiding product teams through complex decisions and analyses and dealing with ambiguous data
Experience/ Demonstrated interest in improving analytics team’s processes and work efficiency using LLMs
Proficiency in Python and SQL
Willingness to take ownership of challenges
Minimum of 4 years in data science or analytics roles, preferably in a Product Data Science or Gaming Analytics team
Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Masters or PhD) are a plus
Proven ability to work collaboratively as part of a team
Strong communication skills - you can explain complex data in simple, actionable terms
Demonstrated experience in data mining, data visualization, statistical analysis, and machine learning
Familiarity with Business Intelligence (BI) tools like Tableau and version control systems such as Git is advantageous
Strong ability in both written and oral communication
Highly self‑motivated with a keen interest in problem‑solving
Familiarity with poker gameplay and terminology
Familiarity with social casino economies

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