Senior AI Data & Analytics Engineer

<h4>Support us in Agentic Analytics for a New Mobile Game!</h4><p></p><p><span>We're not looking for someone who has "built a dashboard". We're looking for someone who already uses agentic workflows as a core part of how they work: Claude Code, Codex, Cursor, custom agents, MCP servers, skills, planning loops, review gates, and AI-assisted engineering. Someone with strong opinions on which AI workflows hold up in production and which fall apart when real decisions depend on the numbers.</span></p><p><span>You'll bring that practice to the AI-native analytics ecosystem of a brand-new mobile game. You'll define how gameplay, monetization, attribution, and player behavior data are collected, structured, and transformed into trustworthy insights, automated reporting, and AI-powered analytics tools.</span></p><p><span>You will work at the intersection of AI, analytics, and game development, building the data foundation of a new game from scratch. You'll define its technical direction and drive the evolution of its analytics and AI capabilities from concept to production.</span></p><p><span>Unlike a traditional analytics role, you'll use agents to dramatically increase your throughput while remaining the architect, reviewer, and final owner of correctness. The agents generate volume; you provide judgement.</span></p><p></p><h4><span>YOUR MISSION</span></h4><h6><span><strong>Build the Data Foundation</strong></span></h6><ul><li><p><span>Design and operate the end-to-end gameplay analytics ecosystem.</span></p></li><li><p><span>Define tracking, storage, processing, and reporting architecture.</span></p></li><li><p><span>Own data correctness and make judgement calls when quality checks flag anomalies.</span></p></li></ul><h6><span><strong>Drive AI-Native Analytics</strong></span></h6><ul><li><p><span>Build the semantic layer that translates raw gameplay data into validated gameplay and business concepts.</span></p></li><li><p><span>Develop AI-driven automated reporting, dashboards, and insight-generation workflows.</span></p></li><li><p><span>Evaluate and implement AI tools, agents, and workflows that improve analytics speed, reliability, and depth.</span></p></li><li><p><span>Review AI-generated code and analytics on critical paths before they reach production.</span></p></li></ul><h6><span><strong>Generate Product Intelligence</strong></span></h6><ul><li><p><span>Identify opportunities, risks, anomalies, and trends across gameplay and player behavior.</span></p></li><li><p><span>Support product, balancing, design, and leadership teams with data-driven recommendations.</span></p></li><li><p><span>Translate complex datasets into clear, actionable insights.</span></p></li></ul><h6><span><strong>Set the Agentic Bar</strong></span></h6><ul><li><p><span>Help define how the wider engineering organization adopts agentic practices.</span></p></li><li><p><span>Establish standards for tooling, review processes, quality gates, and what "done" means when agents generate most of the implementation.</span></p></li></ul><h4><br><span>YOUR BACKSTORY</span></h4><ul><li><p><span>Several years of experience building analytics or data-driven systems in production environments, ideally in gaming or mobile.</span></p></li><li><p><span>Deep comfort with LLMs, agents, and AI-assisted engineering workflows in production environments.</span></p></li><li><p><span>Hands-on experience using agentic workflows and AI coding tools in real-world projects.</span></p></li><li><p><span>The ability to discuss concretely how you:</span></p><ul><li><p><span>structure prompts and context,</span></p></li><li><p><span>manage autonomous and multi-agent workflows, including when to intervene,</span></p></li><li><p><span>use MCP servers, custom tools, skills, or subagents,</span></p></li><li><p><span>review AI-generated code and queries without becoming a bottleneck.</span></p></li></ul></li><li><p><span>Strong experience working with behavioral, transactional, or event-based datasets and deriving actionable insights from complex data.</span></p></li><li><p><span>Strong Python and SQL skills. You read and own code you did not write and verify outputs independently rather than blindly trusting generated results.</span></p></li><li><p><span>Experience designing scalable data architectures, pipelines, data models, dashboards, analytical frameworks, or automated insight-generation systems.</span></p></li><li><p><span>Familiarity with cloud-based data platforms and storage.</span></p></li><li><p><span>Strong analytical decomposition skills and the ability to translate ambiguous business questions into precise analytical problems.</span></p