Senior Data Analyst, Enterprise Analytics

About the Role

Join our Enterprise Analytics team to shape critical go-to-market and executive reporting, transforming ambiguous business questions into trusted data products that drive business decisions.

Responsibilities

• Build and maintain executive-facing scorecards, go-to-market performance views, and new-customer reporting.
• Design performant, reusable Tableau Cloud data sources and shape underlying dbt models.
• Collaborate with Analytics Engineering and Data Engineering to improve dbt models.
• Document metric logic, data lineage, and Tableau usage patterns in the handbook.
• Implement and monitor data quality checks and reconciliations.
• Partner with Revenue Operations, Finance, and go-to-market analysts to define questions and deliver analyses.
• Present insights clearly and actionably for operational and executive audiences.
• Share best practices in SQL, data visualization, and go-to-market analytics.

Requirements

• Strong analytical skills with the ability to frame ambiguous business questions and translate findings into recommendations.
• Advanced SQL skills working with large, complex data models, preferably in Snowflake.
• Proven experience building executive-facing dashboards in Tableau or a similar BI tool.
• Deep understanding of go-to-market concepts (new-customer metrics, pipeline, bookings, Net ARR, etc.).
• Strong command of GenAI tools for daily work.
• Ability to communicate complex analyses clearly to technical and non-technical audiences.
• Comfort working in an all-remote, asynchronous environment with a high level of ownership.

Nice-to-Haves

• Experience with dbt and modern analytics engineering patterns.

About the Team

The Enterprise Analytics team is a centralized, cross-functional partner to GitLab's go-to-market organization and executive leadership, transforming data into actionable insights and self-service reporting. You'll join a fully remote, globally distributed team that collaborates asynchronously.