Data Analyst - Poker

About the Role

Join the Zynga Poker Analytics Team as a Principal Data Analyst and play a crucial role in shaping the future of our game through data-driven insights. This position is ideal for analysts ready to take on broader ownership and scope, driving decisions that impact millions of players worldwide.

Responsibilities

• Collaborate with the Product team to enhance revenue, retention, and engagement metrics through A/B testing, insights analysis, and dashboard development.
• Analyze player behavior to understand motivations and preferences, partnering with game design and consumer insights teams to improve the player experience.
• Design and maintain ETL pipelines to ensure a reliable source of truth for analyses and business intelligence.
• Contribute to the Analytics Org’s AI initiative, improving analytics workflows through AI.
• Design game telemetry to capture meaningful player interaction data.
• Maintain dashboards used by game leadership and designers for strategic decision-making.
• Support the economy team in tuning game features for long-term health.
• Enhance fraud detection and bad actor models to maintain game integrity.
• Actively play and engage with our games to understand player experience and pain points.
• Monitor and maintain tools and models used for workflow streamlining and player personalization.
• Promote analytics best practices across teams and games.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees are a plus.
• Minimum of 8 years in data science or analytics roles, with 6 years preferably in Product Data Science or Gaming Analytics.
• Experience guiding product teams through complex decisions and ambiguous data.
• Proficiency in Python and SQL, with experience in data mining, visualization, statistical analysis, and machine learning.
• Familiarity with BI tools like Tableau and version control systems like Git.
• Strong communication skills, both written and oral.
• Interest in improving analytics processes using LLMs.
• Highly self-motivated with a problem-solving mindset.
• Ability to work collaboratively and take ownership of challenges.

Qualifications

• Experience with AI/ML concepts or automating analytics workflows is a plus.
• Familiarity with poker gameplay and terminology is advantageous.
• Knowledge of social casino economies is beneficial.

Pay

The pay range for this position in Ontario at the start of employment is expected to be between $118,300 and $142,000 per year. Base pay may vary depending on market location and individualized factors such as job-related knowledge, skills, and experience.

Benefits

• World-class benefits package, including medical, dental, vision, and basic life insurance.
• 14 paid holidays per calendar year.
• Paid vacation time (15 to 25 days) or discretionary time off program.
• Up to 10 paid sick days per calendar year.
• Paid parental and compassionate leave.
• Wellbeing programs for mental health and wellness support.
• Family planning support through Maven.
• Commuter benefits and fitness-related expense reimbursements.

Please note that Zynga is unable to provide visa sponsorship or assistance for this position. All candidates must be legally authorized to work in the United States without requiring current or future employer sponsorship.