Lead Analyst, Publishing Analytics

PlayStation Global•San Mateo, CA

8d•$152,100 - $228,100•Hybrid

About The Position

In Games and Publishing Analytics, we partner with PlayStation Studios and global publishing teams to help titles succeed across the full lifecycle. We bring together marketing, audience, social, commercial, and product data to understand performance, evaluate investment, and guide decisions from pre-launch planning through launch and live service. We're looking for a Lead Analyst, Publishing Analytics who combines deep marketing-measurement expertise with strong business judgment and a talent for turning fragmented signals into clear, practical guidance. This role will lead high-impact programs across social intelligence, marketing mix modeling, and publishing decision support while helping build the data and analytical practices that allow the work to scale.

Requirements

Advanced applied analytics expertise demonstrated through high-impact work in marketing, publishing, product, commercial, or customer analytics.
Deep knowledge of marketing measurement, including marketing mix modeling, incrementality, experimental design, attribution, causal reasoning, and budget-response interpretation.
Experience integrating and interpreting multi-channel marketing data across paid media, owned channels, earned media, social and community, influencer and creator, sales, finance, audience, and product-performance signals.
Experience with social analytics, ideally using social-listening or influencer-measurement tools and data such as Meltwater, Quid, YouTube, Twitch, Reddit, Steam, reviews, forums, or comparable sources.
Advanced SQL skills and strong proficiency in Python and/or R for joining complex datasets, statistical modeling, reproducible analysis, validation, and automation.
Strong consultative stakeholder leadership and autonomous program management across Marketing, Publishing, Product Management, Finance, Production, Data, Engineering, and game teams.
Excellent data visualization and executive storytelling skills.
Experience in games, entertainment, digital media, subscription, or another rapidly evolving live-service business.
Familiarity with marketing effectiveness, audience development, launches, engagement, monetization, and franchise health.

Nice To Haves

Experience mentoring analysts, raising analytical rigor, or applying responsible AI-assisted workflows to improve quality and velocity.
Experience with Looker, Power BI, MicroStrategy, Tableau, or another BI tool with a semantic layer.
Experience across live service or games with complex progression, economy, combat, content, or social systems.

Responsibilities

Lead social listening, sentiment, and creator analytics across PlayStation titles and franchises, using sources such as Meltwater, Quid, community platforms, influencer and streaming data, and first-party signals to identify shifts in conversation, content performance, and emerging issues around campaigns, releases, and live-service milestones.
Develop, validate, interpret, and evolve marketing mix models that quantify the contribution of paid, owned, and earned channels to revenue, demand, engagement, and other business outcomes across live-service games.
Own complex publishing analytics programs and stakeholder relationships for multiple games across the portfolio, clarifying decision needs, setting the analytical approach, managing milestones and risks, and driving work through adoption with a high degree of autonomy.
Create stakeholder-ready narratives and products that turn complex evidence into concise presentations, dashboards, recommendations, and executive summaries with clear implications and actions.
Translate marketing measurement into practical investment guidance, using MMM, incrementality, experimentation, and benchmarking to inform strategy, budget allocation, channel planning, campaigns, and future tests.
Deliver timely recurring and ad hoc decision support for live-service and brand-marketing campaigns, events, content beats, launch windows, publishing performance reviews, franchise programs, and critical business moments.
Partner with Analytics Engineering and Data & AI teams to build scalable marketing-data foundations and operationalize data pipelines.