Data Analyst

KRAFTON

$97K — $133K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 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 interest in leveraging them in analytics context
  • Strong communication skills across technical and non-technical audiences

Responsibilities

  • Partner with NA studios to define instrumentation requirements and KPIs
  • Design and maintain dashboards, reports, and self-service analytics tools
  • Translate telemetry data into clear analytical stories for stakeholders
  • Serve as the analytics liaison between NA studios and the central team in Korea
  • Evaluate and validate SDK integration quality with studio engineers
  • Conduct deep-dive analyses on game health and performance
  • Build AI-assisted tooling to streamline analytics processes

Benefits

  • Diverse and inclusive workplace culture
  • Encouragement to apply even if you don't meet every qualification
  • Opportunities for professional growth and learning in analytics and gaming
  • Collaboration with a global team across North America and Korea
  • Access to cutting-edge AI and analytical tools
Full Job Description
THE OPPORTUNITY

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.

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

QUALIFICATIONS
  • 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

PREFERRED QUALIFICATIONS
  • 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


In California, the expected salary range for this position is $97,000-$133,000. The listed expected salary range represents a good faith estimate and the actual pay may depend on a variety of job-related factors that can include experience, education, skills, and location.

Don't meet every single requirement?

Studies have shown that women and people of color are less likely to apply at jobs unless they meet every single qualification. At Krafton we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You might just be the right candidate for this or other roles.

Due to recent scams, our recruiters will only reach out to you via [redacted].com, [redacted].com or [redacted].com. If you received an email and are unsure you can always email [redacted].

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