Principal Data Analyst (Poker)

• Zynga Poker is seeking a Principal 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
• Product Strategy: Analyze long and short-term trends to deliver insights that influence product direction
• Experimentation: Design statistically sound experiments that drive measurable impact
• Business Intelligence: Maintain comprehensive dashboards and ETL pipelines to keep the organization informed on game performance
• Game Integrity: Enhance fraud detection and bad actor models to maintain a healthy gaming ecosystem
• 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 behavior to understand motivations and preferences, partnering with game design and consumer insights teams to translate findings into actionable experience improvements
• 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
• 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
• 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- Proven ability to work collaboratively as part of a team
• Demonstrated experience in data mining, data visualization, statistical analysis, and machine learning
• Demonstrated experience guiding product teams through complex decisions and analyses and dealing with ambiguous data
• Strong ability in both written and oral communication
• Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
• Familiarity with Business Intelligence (BI) tools like Tableau and version control systems such as Git is advantageous
• Willingness to take ownership of challenges
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Masters or PhD) are a plus
• Highly self‑motivated with a keen interest in problem‑solving
• Minimum of 8 years in data science or analytics roles, preferably with 6 years in a Product Data Science or Gaming Analytics team
• Proficiency in Python and SQL
• Strong communication skills - you can explain complex data in simple, actionable terms
• Experience/ Interest in improving analytics team’s processes and work efficiency using LLMs
• Familiarity with social casino economies
• Familiarity with poker gameplay and terminology