About
Goodgame Studios develops data-driven games, including live-service strategy titles, and self-publishes its games in-house. The studio is based in Hamburg, Germany, and is part of Stillfront Group, a game publisher focused on long-term IP growth.
Responsibilities
•Design and operate the end-to-end gameplay analytics ecosystem
•Define tracking, storage, processing, and reporting architecture
•Own data correctness and make judgment calls when quality checks flag anomalies
•Build a 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 to improve analytics speed, reliability, and depth
•Review AI-generated code and analytics on critical paths before they reach production
•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
•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
Requirements
•Several years of experience building analytics or data-driven systems in production environments
•Deep familiarity with LLMs, agents, and AI-assisted engineering workflows in production
•Hands-on experience using agentic workflows and AI coding tools in real-world projects
•Ability to explain how you structure prompts and context; manage autonomous and multi-agent workflows, including when to intervene; use MCP servers, custom tools, skills, or subagents; and review AI-generated code and queries without becoming a bottleneck
•Strong experience with behavioral, transactional, or event-based datasets and deriving actionable insights from complex data
•Strong Python and SQL skills; able to read and own code you did not write and independently verify outputs
•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 ability to translate ambiguous business questions into precise analytical problems
•Strong instincts for data quality, system reliability, and independent verification
•Comfortable working independently, driving technical initiatives from concept to production, and owning outcomes
•Excellent English communication skills
•Passion for gaming
Nice to have
•Gaming or mobile analytics experience (monetization, attribution, retention, LiveOps, economy)
•Event-driven and streaming data architectures
•Real-time telemetry or anti-cheat/anomaly-detection systems
•Published or shared work on agentic workflows (blog posts, OSS subagents/skills, or open-sourced internal tooling)
Conditions
Applications are welcome from international candidates.
