Senior Analytics Engineer

Join PlayStation as a Senior Analytics Engineer, where you will design, build, and scale our analytics platform. This hands-on role requires strong data modeling and architecture skills, as well as the ability to partner closely with stakeholders to translate business problems into trusted data products. You will work within the PlayStation Partners Platform, delivering global data, reporting, and analytics solutions that support partners worldwide in developing and publishing games and content on PlayStation.

• Design, build, and maintain analytics-ready data models using dbt, following best practices such as modularity, reusability, and clear semantic layering.
• Lead the development of greenfield analytics assets, from raw source ingestion through to curated, business-facing models, ensuring data quality and trust.
• Partner closely with business stakeholders, analysts, and product teams to understand requirements and translate them into well-designed data models.
• Demonstrated ability to design analytics models that are technically robust and intuitive for business users
• Advanced SQL skills and experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift
• Exposure to data governance, access control, or analytics enablement at scale
• Experience with data quality and observability, using dbt or complementary tooling
• Experience with semantic layers, metrics frameworks, or analytics consumption patterns
• Documentation and exposures
• Strong hands‑on experience with dbt, including:
• Familiarity with orchestration tools such as Airflow, Dagster, or Prefect
• Excellent data modelling skills across conceptual, logical, and physical models, including both third normal form and dimensional modelling approaches
• Generic and singular testing
• Experience mentoring or supporting junior analytics engineers or analysts
• Data model design and refactoring
• Undergraduate degree in a related field, or an equivalent combination of education and experience
• Proven experience delivering data products, analytics, and visualisations using Business Intelligence tools such as Domo, Tableau, Power BI, Qlik, or similar platforms
• Sources, snapshots, and macros
• Experience building greenfield analytics or data platforms, or significantly evolving existing ones
• Strong track record of partnering effectively with business teams to deliver outcomes
• Ongoing support for users who rely on analytics products for decision‑making
• Collaboration with business, product, and engineering teams to deliver scalable and flexible solutions
• Comfort operating in ambiguous or evolving data environments
• Pride in building trusted data assets that are widely adopted and valued
• Desirable Experience and Attributes
• Strong focus on clean design, maintainability, and long‑term sustainability, not just speed of delivery
• Experience maintaining high technical delivery standards, including documentation and end‑user self‑service enablement
• Ability to be opinionated yet pragmatic, clearly explaining trade‑offs and adapting when required
• Extensive experience with Domo
• Hands‑on experience with Snowflake
• Exposure to web technologies such as JavaScript, HTML, and CSS
• Experience in web analytics or related domains
• Knowledge of statistical methodologies
• Exposure to data science or advanced analytics use cases
• Experience developing on AWS