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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Krafton Inc. - **Location:** El Segundo, CA, United States - **Experience:** Experienced - **Salary:** $97,000.0 - $133,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Code Generation, Data Governance, Data Sharing, Event Logging, Python (Programming Language), SQL Databases, Sql Optimization, Large Language Models, Data Analytics, Data Management, Machine Learning Operations, Data Pipelines - **Published:** July 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=08c90430a9fbc143 ## About the Role * 5+ years in data analytics, with 3+ years in the games industry * Deep experience with event-based telemetry and game data pipelines * Advanced SQL; proficiency in Python or R for analysis and automation * Familiarity with live service game metrics (DAU, D1/D7/D30 retention, ARPU, LTV, session depth) * Familiarity with AI tools and an interest in leveraging them for code generation, insight synthesis, documentation, and workflow automation in an analytics context. * Ability to write effective prompts and evaluate AI output critically - knowing when to trust, iterate, or reject generated results * Track record of owning end-to-end analytics from instrumentation spec to stakeholder reporting * Strong communication skills across technical and non-technical audiences * Experience working across multiple studios or product teams simultaneously, * Korean language proficiency (business level strongly preferred) * Prior experience collaborating with Korean or other Asia-Pacific organizations * Experience building AI-powered internal tools - metric bots, LLM pipelines for automated reporting, AI-assisted anomaly detection * Experience contributing to or maintaining a shared data SDK or central instrumentation library * Background in publishing analytics - UA, platform performance, regional launch metrics * Familiarity with data governance, schema registries, or data contracts ## Description * Partner closely with NA studios to define instrumentation requirements, event schemas, and KPIs that align with PPD's centralized SDK and data standards * Design, build, and maintain dashboards, reports, and self-serve analytics tools - using AI-assisted BI and text-to-SQL tooling where it cuts time without sacrificing rigor * Translate raw telemetry data into clear analytical stories for non-technical stakeholders; use LLMs to accelerate synthesis, commentary generation, and report drafting * Serve as the primary analytics liaison between NA studios and the Korea-based PPD central team; facilitate data alignment, review sessions, and reporting cadences across time zones * Evaluate and validate SDK integration quality - working with studio engineers to ensure correct event logging, data completeness, and schema consistency * Conduct deep-dive analyses on game health, feature performance, A/B test results, and live ops events; automate recurring analyses using AI pipelines where possible * Build lightweight AI-assisted tooling where it removes friction - metric summary bots, automated anomaly commentary, LLM-generated data documentation, and similar * Contribute to roadmap discussions for PPD's central analytics platform, advocating for NA studio needs while ensuring alignment with global standards ## Related Videos - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [Smart City, Smart Mobility](https://www.wearedevelopers.com/videos/954-smart-city-smart-mobility) - [Is your backend a hodgepodge of queues, event stores and cron jobs? Durable Execution to the Rescue.](https://www.wearedevelopers.com/videos/744-is-your-backend-a-hodgepodge-of-queues-event-stores-and-cron-jobs-durable-execution-to-the-rescue) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Building Accountability in Agentic AI](https://www.wearedevelopers.com/videos/100046-building-accountability-in-agentic-ai) - [Kafka Streams Microservices](https://www.wearedevelopers.com/videos/168-kafka-streams-microservices) ## Related Articles - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [John Romero - What AI Can, Can’t, and Shouldn’t do for Games](https://www.wearedevelopers.com/magazine/478-john-romero-what-ai-can-can-t-and-shouldn-t-do-for-games) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 135 - AI is Doomed](https://www.wearedevelopers.com/magazine/480-dev-digest-135-ai-is-doomed)