Senior Data Design Analyst
On-siteLondon, England, United Kingdom
Job Summary
Partner with game development, analytics engineering, and data science stakeholders to design clear, consistent, and scalable telemetry specifications that capture player behavior and game systems accurately. Translate analytical requirements into raw telemetry event designs, schemas, naming conventions, and validation rules in collaboration with the Game Data Development team. Review proposed telemetry designs for completeness and suitability for downstream modeling, reporting, and machine learning use cases while collaborating with analytics engineers to reduce transformation complexity. Define expected behaviors, edge cases, and acceptance criteria to support the Data Integrity & Operations team's telemetry QA, and maintain documentation standards that improve governance and consistency across game telemetry.
Required Qualifications
- 5+ years experience in analytics, data design, data analysis, product analytics, game analytics, or a related data-focused role
- Bachelor's degree or equivalent experience in a quantitative, technical, analytical, or design-oriented field
- Strong understanding of event-based data, data schemas, data quality principles, and how raw telemetry supports downstream analytics and data modelling
- Ability to translate ambiguous stakeholder questions into structured data requirements and practical telemetry designs
- Familiarity with SQL and working with large-scale datasets to investigate, validate, or interpret behavioural data
- Excellent written communication skills, with the ability to create clear specifications, documentation, and guidance for both technical and non-technical audiences
- Strong attention to detail and ability to reason through edge cases, data lineage, implementation constraints, and downstream usage patterns
- Full-time, permanent and in-office position based in Rockstar's unique game development studio in the heart of London
Desired Qualifications
- Experience working with game telemetry, live service analytics, behavioural event taxonomies, data catalogues, or analytics engineering workflows
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