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Senior Analytics Engineer, GTM

ClickHouse LogoClickHouse
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Salary

US: $175,500 - $219,600 / US Premium Markets: $195,000 - $244,000

Location

San Francisco, CA

Posted

2 days ago

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.

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

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