ClickHouse

SeniorAnalyticsEngineer,GTM

$176–220k Menlo Park, California, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Analytics Engineer, GTM at ClickHouse. Skills: SQL, dbt, Python, data modeling, AI tools and workflows. 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”

Industry & Context.

Problems you'll solve

Comfortable operating in ambiguity; taking ownership of open-ended problems

What They're Looking For.

Must Have

5+ years of experience in analytics, BI, or data roles within a SaaS or technology company, Experience supporting GTM, sales, or revenue operations functions, working directly with Salesforce and related GTM systems, Highly proficient in SQL, 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

What You'll Do.

Own and develop core data models

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

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

and usability across the organization

Develop AI-ready data models and self-service solutions that enable natural language access and automated insights

How You'll Work.

Team & Collaboration

partnering with cross-functional stakeholders to define, standardize, and operationalize key business logic; Partner closely with Sales, Revenue Operations, Finance, and Marketing to align on priorities and drive impact

Communication Scope

Communicates clearly; can translate complex data into actionable business insights

Full Job Description

About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! 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 ins

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