Lead Data Analyst
Skills
- Advanced SQL and experience with modern data warehouses (Snowflake, BigQuery, or Redshift).
- Proficiency with BI tools such as Looker, Preset/Superset, Metabase, or Tableau.
- Experience implementing and maintaining a metrics/semantic layer (dbt metrics, LookML, Cube).
- Strong analytical thinking, problem solving, and data storytelling skills for executive audiences.
- Proven ability to partner cross-functionally and influence senior stakeholders.
Responsibilities
- Define, document, and maintain centralized metric definitions and governance within a semantic layer (e.g., Cube/dbt metrics/LookML).
- Build and maintain high-quality dashboards and reports for business teams and executives using modern BI tools.
- Lead deep-dive analyses into revenue, churn, and vendor performance to identify root causes and recommend actions.
- Act as primary analytics partner for vendor sales partners across US and international brands, answering high-priority questions with data-backed recommendations.
- Collaborate with Data Engineering and Data Science to validate data pipelines, QA changes, and ensure analytics alignment.
- Promote best practices for metric design, reporting, and data quality across cross-functional teams.
Education
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent experience.
- Advanced degree (MS, MBA) preferred but not required.
Benefits
- Flexible vacation and generous parental leave
- Comprehensive mental wellbeing and physical health programs
- Financial planning resources and benefits
- Perks and employee discounts
- Hybrid work model with regular in-office time for collaboration
Average salary estimate
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