Build the Data Foundation
Design and operate the end-to-end gameplay analytics ecosystem.
Define tracking, storage, processing, and reporting architecture.
Own data correctness and make judgement calls when quality checks flag anomalies.
Drive AI-Native Analytics
Build the semantic layer that translates raw gameplay data into validated gameplay and business concepts.
Develop AI-driven automated reporting, dashboards, and insight-generation workflows.
Evaluate and implement AI tools, agents, and workflows that improve analytics speed, reliability, and depth.
Review AI-generated code and analytics on critical paths before they reach production.
Generate Product Intelligence
Identify opportunities, risks, anomalies, and trends across gameplay and player behavior.
Support product, balancing, design, and leadership teams with data-driven recommendations.
Translate complex datasets into clear, actionable insights.
Set the Agentic Bar
Help define how the wider engineering organization adopts agentic practices.
Establish standards for tooling, review processes, quality gates, and what 'done' means when agents generate most of the implementation.

Several years of experience building analytics or data-driven systems in production environments, ideally in gaming or mobile.
Deep comfort with LLMs, agents, and AI-assisted engineering workflows in production environments.
Hands-on experience using agentic workflows and AI coding tools in real-world projects.
Strong experience working with behavioral, transactional, or event-based datasets and deriving actionable insights from complex data.
Strong Python and SQL skills.
Experience designing scalable data architectures, pipelines, data models, dashboards, analytical frameworks, or automated insight-generation systems.
Familiarity with cloud-based data platforms and storage.
Strong analytical decomposition skills and the ability to translate ambiguous business questions into precise analytical problems.
Strong instinct for data quality, system reliability, and independent verification.
Comfortable operating independently, driving technical initiatives from concept to production, and owning outcomes rather than tasks.
Excellent English communication skills.
Passion for gaming.

Senior AI Data & Analytics Engineer

Key skills