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Tech Stack
Tools & technologiesBigQuerySQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- This is a remote position.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLBigQuerydimensional modelingfact tablesdimension tablesCTEswindow functionsdata qualityanalytical data modelsevent taxonomies
Soft Skills
analytical abilitiesproblem-solvingcollaborationcommunication
