Principal Data Analyst, Zynga

• 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
• 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

Desirable

• 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