Principal Analytics Engineer

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 Principal 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:

• Conduct an assessment of 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:

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

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

• Mentor junior and senior analytics engineers, promoting technical excellence and continuous improvement.

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.

• Expert at translating 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.