- 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 ADVANTAGES - 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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📌 Senior Data Analyst (Poker) (Toronto)
🏢 Zynga
📍 Toronto