Senior Data Analyst - Poker

Zynga • Toronto, ON

1d • CA$96,400 - CA$135,000

About The Position

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. This role involves analyzing long and short-term trends to deliver insights that influence product direction, designing statistically sound experiments that drive measurable impact, maintaining comprehensive dashboards and ETL pipelines, and enhancing fraud detection and bad actor models to maintain a healthy gaming ecosystem.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.
• Minimum of 4 years in data science or analytics roles, preferably in a Product Data Science or Gaming Analytics team.
• Demonstrated experience guiding product teams through complex decisions and analyses and dealing with ambiguous data.
• Proficiency in Python and SQL.
• Demonstrated experience in data mining, data visualization, statistical analysis, and machine learning.
• Experience/ Demonstrated interest in improving analytics team's processes and work efficiency using LLMs.
• Strong ability in both written and oral communication.
• Highly self-motivated with a keen interest in problem-solving.
• Willingness to take ownership of challenges.
• Proven ability to work collaboratively as part of a team.
• Strong communication skills - you can explain complex data in simple, actionable terms.

Nice To Haves

• Advanced degrees (Masters or PhD) are a plus.
• Familiarity with Business Intelligence (BI) tools like Tableau and version control systems such as Git is advantageous.
• Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus.
• Familiarity with poker gameplay and terminology.
• Familiarity with social casino economies.

Responsibilities

• Collaborate with the Product team to enhance revenue, retention, and engagement metrics, including 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

• medical, dental, vision, and basic life insurance coverage
• 14 paid holidays per calendar year
• paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program
• up to 10 paid sick days per calendar year
• paid parental and compassionate leave
• wellbeing programs for mental health and other wellness support
• family planning support through Maven
• commuter benefits
• reimbursements for fitness-related expenses
• 401(K) plan
• Employee Stock Purchase Program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior