Top Data & Analytics Jobs

Lead marketing analytics initiatives, including statistical analysis, campaign optimization, LTV modeling, incrementality analysis, data visualization, and third-party data pipeline development. Partner with marketing and cross-functional teams to identify growth opportunities, deliver actionable insights to senior stakeholders, and prototype AI-driven automation for recurring analytics workflows and improved decision-making.

Lead end-to-end qualitative and quantitative primary research across marketing and game design. Design studies, run interviews and segmentation, analyze and visualize data, manage vendors and research panels, and communicate insights to stakeholders to inform live and in-development games.

Lead analytics for Zynga Poker by running A/B tests, building ETL pipelines and dashboards, analyzing player behavior, tuning game economy, and improving fraud/bad-actor models. Collaborate with product, design, and data science teams, contribute to AI/LLM initiatives, and maintain telemetry and BI tools to inform strategic decisions that impact millions of players.

Work with large game datasets to measure and improve VIP engagement, campaign effectiveness, and player support. Build data models, dashboards, and analyses; collaborate with game analysts, product teams, and stakeholders to provide insights and ad-hoc reporting to optimize player outreach and satisfaction.

Lead game analytics partnering with product teams to drive strategy, player and economy insights, design A/B tests, build predictive models (churn, LTV, segmentation), mentor analysts, and improve data tools and experimentation practices.

As a Principal Data Analyst at Zynga, you will shape game strategies, analyze player behavior, design experiments, mentor analysts, and promote data-informed decision-making to enhance player engagement and business growth.

Build and optimize large-scale data marts and production data pipelines; write and tune complex SQL; develop production Python analytics and reusable tooling; partner with game analytics to deliver data products; build end-to-end AI/LLM pipelines; educate analysts on engineering best practices.

Analyze advertising inventory to maximize value, design tests, synthesize data into reports, and identify revenue opportunities in gaming.