Principal Data Analyst - Gaming Analytics & AI Insights

Zynga Inc

Austin, Northern (TX, KY)

Hybrid

USD 140,000 - 170,000

Full time

6 days ago
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Job summary

Zynga Poker is seeking a Principal Data Analyst to drive decisions that impact millions of players worldwide. You will shape product strategy, design experiments, and maintain dashboards and ETL pipelines to keep insights reliable across the organization.

You will lead data-driven improvements, build ML models, and collaborate with game design and consumer insights teams to translate findings into better player experiences. Strong communication and ownership are essential.

Qualifications

  • Bachelor's degree in a quantitative field is required.
  • 8+ years in data science or analytics, with 6+ years in product or gaming analytics preferred.
  • Proficient in Python and SQL with strong data manipulation skills.
  • Experience guiding product decisions using data and working with ambiguous data.

Responsibilities

  • Collaborate with Product to enhance revenue, retention, and engagement metrics.
  • Design and evaluate experiments (A/B tests) and develop actionable dashboards.
  • Build and maintain ETL pipelines and ensure data integrity for BI.
  • Contribute to Analytics Org’s AI initiatives and scalable analytics workflows.
  • Design game telemetry and dashboards for leadership and designers to inform strategy.
  • Support the economy team in tuning features for long-term health.

Skills

Python
SQL
Data mining
Data visualization
Machine learning
BI tools
Git
Communication
LLMs

Education

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

Tools

Tableau
Git

Job description

Zynga Poker is seeking a Principal Data Analyst to drive decisions that impact millions of players worldwide. You will shape product strategy, design experiments, and maintain dashboards and ETL pipelines to keep insights reliable across the organization.

You will lead data-driven improvements, build ML models, and collaborate with game design and consumer insights teams to translate findings into better player experiences. Strong communication and ownership are essential.

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