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Supports product managers on Dragon City by benchmarking competitors, researching player feedback, analyzing game metrics, assisting with feature and content launches, and coordinating live-ops planning. The intern will turn data on retention, monetization, and engagement into actionable insights while learning about product analytics, game economies, and mobile game operations.

Manage user acquisition campaigns for mobile games across social, SDK, and programmatic channels. Responsibilities include campaign setup, optimization, budgeting, reporting, creative and audience testing, performance analysis, forecasting, and cross-functional collaboration with Creative, Product, ASO, and BI teams to improve CPI, ROAS, and IPM.

Lead marketing analytics initiatives, including statistical evaluation of campaign performance, predictive modeling, LTV and incrementality analysis, data pipeline development, and interactive visualization. Partner with marketing and cross-functional teams to identify growth opportunities, communicate actionable insights to senior stakeholders, and prototype AI-driven automation for recurring analytics workflows.

The Principal Game Data Analyst will shape game strategies through data-driven insights, mentor analysts, and improve analytics standards while collaborating with teams on player behavior and product performance analysis.

The Principal Data Analyst will drive data-driven strategies for games, analyze player behavior and product performance, lead A/B testing, mentor analysts, and improve data culture across the company.

Lead the 0-to-1 design and ongoing live-ops of a new Merge 2 mobile game: define vision, core loop, progression, economy and monetization; mentor and grow designers; partner with product, engineering and art; use analytics and live feedback to balance systems and drive retention.

Partner with game teams to shape product and monetization strategy using player and product analytics. Design experiments, build predictive models (churn, LTV, segmentation), mentor analysts, present insights to leadership, and improve data tools and pipelines to drive data-informed decisions.

Design, build, and maintain production data pipelines and cross-game data marts; write and optimize complex SQL; develop Python-based analytics and AI pipelines; partner with game analytics teams; create reusable tools and teach analysts software-engineering best practices.

The Senior Product Manager will develop and execute Liveops and monetization strategies, analyze key metrics, and lead a live-ops team while collaborating with stakeholders.

The Lead Product Manager will create and execute Liveops strategies, design promotional campaigns, analyze monetization strategies, and drive metrics-based decisions.