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Lead Analyst, Publishing Analytics

Job in San Mateo, San Mateo County, California, 94409, USA
Listing for: Adweek
Full Time position
Listed on 2026-10-29
Job specializations:
  • IT/Tech
    Data Analyst
  • Marketing / Advertising / PR
Salary/Wage Range or Industry Benchmark: 152100 - 228100 USD Yearly USD 152100.00 228100.00 YEAR
Job Description & How to Apply Below
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 Play Station 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 Play Station brand, a name synonymous with entertainment excellence and creativity.

About Play Station Games and Publishing Analytics. In Games and Publishing Analytics, we partner with Play Station 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.

What you will be doing

As a Lead Analyst, Publishing Analytics, you’ll work with Marketing, Community, Publishing, Product, Analytics Engineering, Data & AI, and game teams to answer complex questions about audience and player response, campaign effectiveness, marketing strategy, and long-term title and franchise health.

You will:
  • Lead social listening, sentiment, and creator analytics across Play Station 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.
What we are looking for
  • 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,…
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