Principal Data Analyst, Gaming Analytics & AI Insights

Zynga; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Zynga Poker Analytics Team is seeking a Principal Data Analyst to drive data-informed decisions that affect millions of players worldwide. As the next step above Senior, you will own analytics scope and partner with product, design, and consumer insights to shape the player experience.

You will design experiments, build ETL pipelines, maintain dashboards, enhance fraud models, monitor game telemetry, and communicate complex analyses in actionable terms to game leadership.

Qualifications

• Bachelor’s or higher in a quantitative field and 8+ years in data science or analytics.
• Experience guiding product teams through complex decisions with ambiguous data.
• Proficiency in Python and SQL with data mining, visualization and ML basics.
• Familiarity with BI tools (Tableau) and version control (Git) is advantageous.
• Strong written and oral communication; team collaboration is essential.

Responsibilities

• Collaborate with Product to improve revenue, retention, and engagement metrics via insights and dashboards.
• Analyze player behavior to translate findings into experience improvements.
• Design and maintain ETL pipelines to ensure a single source of truth.
• Contribute to the Analytics Org’s AI initiatives and improve analytics workflows.
• Design game telemetry and dashboards used by leadership and designers for strategy.

Skills

Python

SQL

Data analysis

Communication

ML concepts

Git

Education

Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field

Advanced degree (Masters or PhD) is a plus

Tools

Tableau

ETL tools

Job description

Zynga Poker Analytics Team is seeking a Principal Data Analyst to drive data-informed decisions that affect millions of players worldwide. As the next step above Senior, you will own analytics scope and partner with product, design, and consumer insights to shape the player experience.

You will design experiments, build ETL pipelines, maintain dashboards, enhance fraud models, monitor game telemetry, and communicate complex analyses in actionable terms to game leadership.