Senior Analytics Engineer, GTM

ClickHouseSan Francisco, CA
$175,500 - $219,600Hybrid

About The Position

ClickHouse is seeking a Senior Analytics Engineer, GTM, to support the scaling of a data-driven go-to-market organization. In this role, you will be a key operator of the GTM data system, influencing how performance is measured, the revenue funnel is understood, and decision-making is driven across Sales, Revenue Operations, and Finance. You will be responsible for critical data models, metrics, and analytical workflows that support the GTM motion. This is a hybrid role, intended to be filled in the San Francisco Bay Area, requiring 1-2 days per week in the Menlo Park office.

Requirements

  • 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

Responsibilities

  • 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

Benefits

  • Employer contributions towards your healthcare
  • Equity in the company - Every new team member who joins our company receives stock options
  • Flexible time off in the US
  • A $500 Home office setup if you’re a remote employee
  • Global Gatherings – opportunities to engage with colleagues at company-wide offsites
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