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Senior Game Data Analyst
remoterocketship
- New York, New York, United States
- New York, New York, United States
Über
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. Requirements:
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. 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. Benefits:
medical dental vision matching 401(k) paid time off wellness program coveted employee discounts for Sony products
Sprachkenntnisse
- English
Hinweis für Nutzer
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