Data Analyst

KRAFTON•Seattle, WA

12d

About The Position

Krafton's Publishing Platform Division (PPD) builds the data infrastructure and analytics services that power game studios across North America and Korea. As a Game Data Analyst on the NA team, you'll sit at the intersection of game development, product analytics, and cross-regional collaboration — serving as the analytical backbone for our NA studios while working hand-in-hand with PPD's central team in Seoul. You will define and standardize event taxonomies through our in-house central SDK, build data pipelines and reporting layers, and ensure studios and publishing stakeholders can make fast, evidence-based decisions throughout the full game lifecycle. At Krafton, AI is a core operating principle — not an occasional tool. We expect you to integrate AI into your daily workflow as naturally as SQL, and to actively push the boundaries of what a two-person analytics function can accomplish.

Requirements

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

Nice To Haves

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

Responsibilities

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