Design and define scalable BigQuery schemas and analytical data models.
Build and optimize complex SQL queries using CTEs, joins, and window functions.
Create and maintain dimensional data models including fact and dimension tables.
Work with product event tracking platforms such as Segment, Amplitude, or Mixpanel.
Develop realistic event taxonomies, product metrics, and analytical datasets.
Identify, troubleshoot, and resolve data quality issues across analytics systems.
Analyze discrepancies between dashboards, reports, and source systems.
Collaborate with cross-functional teams to ensure consistency in metric definitions and reporting standards.
Review analytical artifacts and validate their technical correctness.
Contribute to AI benchmark development by simulating realistic analytical environments and scenarios.

5+ years of experience in Data Analytics or Data Science
Strong SQL expertise including Complex queries, CTEs (Common Table Expressions), and Window functions
Strong understanding of dimensional modeling: Fact tables, Dimension tables
Experience with product event analytics platforms: Segment, Amplitude, or Mixpanel
Hands-on experience with BigQuery
Expertise in handling data quality challenges and implementing resolution strategies
Strong analytical and problem-solving abilities.

Data Analyst

Key skills