Data Analyst

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
• 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
• 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