New

Lead Analytics Engineer

United Kingdom, London

Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

PlayStation Studios Data Platform

Hybrid, UK

PlayStation Studios is the game development division of Sony PlayStation, and is responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including The Last of Us, Horizon, Spider-Man, God of War, Helldivers and Gran Turismo.

We work with some of the best game studios in the world, and use data to help them make their games even better. We provide end-to-end analytics services for PlayStation Studios, harnessing advanced analytics to enhance game development and player experiences. We are looking for talented people to join us in pushing the boundaries of analytics for PlayStation games.

 

We're seeking a Lead Analytics Engineer to lead important new initiatives within our cross-functional engineering team, mainly focusing on analytics capabilities that support publishing and marketing decisions (e.g., game performance, campaign analysis, sentiment tracking). You will play a pivotal role in scaling our analytics capabilities, driving innovation, and shaping the future of marketing and publishing analytics at PlayStation Studios.

 

What you'll achieve in your first six months:

  • Collaborate with other Engineers, assessing the current state of marketing & publishing analytics at PlayStation, identifying opportunities to enhance support for both single player and live service games.

  • Build models to support campaign analytics, aimed at providing actionable insights that optimize player engagement and marketing effectiveness.

  • Improve data models to ensure consistency across PlayStation Studios, with a focus on portfolio level KPIs and performance models that support cross title publishing decisions and strategic planning.

  • Explore advanced initiatives - predictive modelling, sentiment analysis, LTV forecasting - and pitch game specific strategies to product & marketing teams.

 

Responsibilities:

  • Build and deploy advanced analytics solutions supporting portfolio-level decision-making.

  • Lead the design and development of data models for Marketing Mix Modeling (MMM) and advanced live service game analytics.

  • Provide technical leadership in close collaboration with product, marketing and publishing stakeholders, transforming complex business challenges into actionable engineering solutions.

  • Advocate for best practices in analytics engineering, promoting advanced use of tools like dbt, Airflow, and other relevant technologies to ensure scalability, reliability, and performance.

  • Contribute to the long-term technical roadmap for publishing analytics, partnering with data platform leadership.

  • Mentor junior Analytics Engineers, promoting technical excellence and continuous improvement.

  • Partner with marketing & publishing leaders to translate strategic objectives into data-model requirements and analytical roadmaps.

 

What we're looking for:

  • Demonstrated expertise in marketing and/or publishing analytics for games, entertainment, or consumer digital products, with a solid grasp of campaign lifecycles, funnel KPIs, and monetization drivers.

  • Proven track record designing and building data models that serve portfolio level marketing and publishing needs.

  • Hands-on experience building and operationalizing models such as Marketing Mix Modeling (MMM), multi-touch attribution, customer LTV forecasting, sentiment analysis (NLP), and churn / retention prediction.

  • Proven ability to translate complex business requirements into scalable, robust analytics solutions, particularly in marketing and publishing domains.

  • Strong Technical expertise in the field of Analytics Engineering

    • Extensive experience writing and optimizing analytical SQL (OLAP) queries for databases such as Redshift, Snowflake, or BigQuery.

    • Demonstrable expertise in designing, implementing, and maintaining data models with tools such as dbt or SQLMesh.

    • Commitment to test-driven analytics engineering (unit, expectation, anomaly detection) and data governance across teams.

    • Strong proficiency in Python, AWS ecosystem (Glue, Athena, Redshift), Git, and orchestration frameworks such as Airflow.

 

Bonus points for:

  • Familiarity with AAA game publishing cycles and modern console analytics.

  • A degree in Computer Science or a related technical discipline.

 

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability.

 

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. 

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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