Senior Game Data Analyst

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

About PlayStation Game Analytics: In Games and Publishing Analytics, we work with some of the most legendary studios in the world, supporting teams behind PlayStation franchises such as Uncharted, The Last of Us, Ghost of Yotei, God of War, and Helldivers 2. We provide end-to-end analytics for PlayStation Studios, helping teams understand players, evaluate game systems, and make data-informed decisions from early development through launch.

What you will be doing: 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. You will:

• 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.

What we are looking for:

• 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.

Domain Experience:

• 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.

Bonus Points if You Have:

• Experience with Python, R, or statistical tooling for experimentation, causal inference, metric validation, forecasting, or behavioral modeling.
• Experience with Looker, Power BI, MicroStrategy, Tableau, or another BI tool with a semantic layer.
• Familiarity with Git or other reproducible analysis workflows.
• Experience across live service or games with complex progression, economy, combat, content, or social systems.
• Familiarity with publishing or commercial analytics, including acquisition, launch performance, campaign impact, monetization, forecasting, or franchise health.