Zynga Poker is seeking a data analyst to help drive decisions that impact millions of players worldwide by shaping the future of their game through data-driven insights.
Requirements
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.
Familiarity with mobile games
Experience/ Interest in improving analytics team's processes and work efficiency using LLMs.
Familiarity with poker gameplay and terminology
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.
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.
Analyze player behavior to understand motivations and preferences, partnering with game design and consumer insights teams to translate findings into actionable experience improvements.
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
Other
Analyze long and short-term trends to deliver insights that influence product direction
Design statistically sound experiments that drive measurable impact
Maintain comprehensive dashboards and ETL pipelines to keep the organization informed on game performance
Enhance fraud detection and bad actor models to maintain a healthy gaming ecosystem
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.
