About this role
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