Job Description
Commitment: 40 hours/week with 6 hours overlap with PST
Role Responsibilities
- Define and design realistic data infrastructure environments for AI benchmark projects
- Create and review BigQuery schemas, SQL queries, event taxonomies, and metric definitions
- Build realistic data artifacts that reflect real-world analyst workflows and product analytics systems
- Debug and analyze data quality issues across datasets and reporting systems
- Ensure technical accuracy and consistency in data models and benchmark artifacts
- Work with product event data and analytics tracking patterns
- Explain discrepancies between dashboards and metrics through structured analysis
- Contribute to AI benchmark development using realistic analytical workflows and datasets
Requirements
- Strong years of experience in data analytics or data science
- Strong SQL skills including co...