Data Analyst - Poker

Zynga•Toronto, ON
•CA$118,300 - CA$142,000•Onsite

About The Position

Zynga Poker is seeking a Principal Data Analyst to help drive decisions that impact millions of players worldwide. At Zynga, Principal is the next step above Senior; a great fit for analysts ready to take on broader ownership and scope. As part of our analytics team, you'll play a crucial role in shaping the future of our game through data-driven insights. Here's how you'll shape the player experience: Product Strategy: Analyze long and short-term trends to deliver insights that influence product direction. Experimentation: Design, conduct, and analyze 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. Join us if you love solving analytical puzzles that impact millions!

Requirements

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Masters or PhD) are a plus.
  • Minimum of 8 years in data science or analytics roles, preferably with 6 years 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.
  • 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.
  • Experience/ Demonstrated interest in improving analytics team's processes and work efficiency using LLMs.
  • 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.
  • Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus.

Nice To Haves

  • Experience/ Interest in improving analytics team's processes and work efficiency using LLMs.
  • Familiarity with poker gameplay and terminology.
  • Familiarity with social casino economies.

Responsibilities

  • 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.
  • Design and maintain ETL pipelines to extract, transform, and load data from multiple sources, ensuring source of truth for analyses and business intelligence.
  • Participate in and contribute to the Analytics Org’s AI initiative, which is doing significant strides in improving analytics workflows through AI.
  • 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.
  • 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
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