Senior Game Data Analyst, PlayStation

• Strong SQL skills and experience working with large behavioral datasets, especially event-level gameplay data
• Strong exploratory analysis skills and the ability to turn raw gameplay data into clear insight
• Experience analyzing player behavior and game systems, including progression, combat, economy, difficulty, matchmaking, feature adoption, engagement, retention, or segmentation
• Experience partnering directly with designers, producers, product managers, researchers, engineers, or game leadership
• Ability to distinguish between similar-looking behavioral signals, such as challenge versus frustration, friction versus intentional difficulty, novelty versus durable engagement, or confusion versus experimentation
• Strong communication skills, with the ability to explain what the data supports, what remains uncertain, and what teams should do next
• A background in statistics, mathematics, economics, computer science, or another applied quantitative discipline
• 4+ years of analytics experience in the games industry, ideally supporting game development, live operations, player behavior analysis, feature evaluation, or gameplay systems
• 2+ years of experience working on a shipped game, live service game, or game team operating through rapid development cycles such as playtests, launch, live events, or content releases
• Familiarity with the realities of game development, including changing priorities, incomplete information, telemetry gaps, cross-functional dependencies, and decisions that cannot wait for perfect data

Desirable

• We're looking for a Senior Game Data Analyst who brings strong analytical fundamentals, game curiosity, and the judgment to turn messy questions into practical insight
• As a Senior Game Data Analyst, you'll partner with game teams and publishing stakeholders to answer complex questions about player behavior, feature performance, commercial outcomes, and long-term game health
• Lead analysis across player behavior, feature and content performance, monetization, and overall game health
• Turn ambiguous design, product, and publishing questions into clear analytical plans and recommendations
• Develop proxy metrics for player-experience goals such as pacing, challenge, friction, agency, and build diversity
• Combine telemetry, playtests, surveys, sentiment, and product context to evaluate whether features are landing as intended
• Apply judgment to imperfect evidence, including small samples, pre-launch tests, incomplete telemetry, noisy signals, and bias
• Support commercial questions around launch, acquisition, segmentation, campaigns, and franchise health
• Build dashboards and analytical frameworks that support consistent decision-making
• Communicate insights clearly across design, product, publishing, research, engineering, data science, and leadership