Senior Analytics Engineer, GTM

ClickHouse is hiring a Senior Analytics Engineer, GTM, to help scale a data-driven go-to-market organization.

In this role, you will act as a core operator of our GTM data system, shaping how we measure performance, understand our revenue funnel, and drive decision-making across Sales, Revenue Operations, and Finance. You will own key data models, metrics, and analytical workflows that power our GTM motion.

Hybrid: We intend to fill this role in the San Francisco Bay Area, and expect this position to go into our Menlo Park office 1-2x per week.

What You'll Be Doing:

• Own and develop core data models, datasets, and dashboards that serve as the foundation for GTM reporting and decision-making
• Enable a single source of truth for GTM metrics by partnering with cross-functional stakeholders to define, standardize, and operationalize key business logic
• Deliver insights and recommendations that improve GTM performance and inform strategic decisions
• Build scalable data systems and workflows that improve data accessibility, reliability, and usability across the organization
• Develop AI-ready data models and self-service solutions that enable natural language access and automated insights
• Partner closely with Sales, Revenue Operations, Finance, and Marketing to align on priorities and drive impact

What You Bring Along:

• 5+ years of experience in analytics, BI, or data roles within a SaaS or technology company
• Experience supporting GTM, sales, or revenue operations functions and working directly with Salesforce and related GTM systems
• Strong experience supporting GTM, sales, or revenue operations functions
• Highly proficient in SQL and experienced in building analytical data models with dbt or similar tools
• Has experience working with modern data warehouses such as ClickHouse, Snowflake, or BigQuery
• Proficient in Python for data analysis, automation, or workflow development
• Highly fluent with AI tools and workflows, including LLMs, AI coding assistants, and automation frameworks, and applies them effectively in analytical work
• Communicates clearly and can translate complex data into actionable business insights
• Comfortable operating in ambiguity and taking ownership of open-ended problems