Senior Analytics Engineer, GTM

About Click House

Recognized on the 2025 Forbes Cloud 100 list, Click House 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, Click House 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!

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.

• 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

• 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
• Highly proficient in SQL and experienced in building analytical data models with dbt or similar tools
• Experience working with modern data warehouses such as Click House, Snowflake, or Big Query
• 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
• Communicates clearly and can translate complex data into actionable business insights
• Comfortable operating in ambiguity and taking ownership of open-ended problems

The typical starting salary for this role in the US is $175,500 - $219,600 USD. For US Premium Markets, the range is $195,000 - $244,000 USD. Placement within the range depends on education, qualifications, certifications, experience, skills, location, performance, and business needs.

• Flexible work environment - Remote-friendly with operations in over 20 countries.
• Healthcare - Employer contributions towards your healthcare.
• Equity - Stock options for every new team member.
• Time off - Flexible time off in the US.
• Home office - $500 setup stipend for remote employees.
• Global Gatherings - Opportunities to engage with colleagues at company-wide offsites.

Click House provides equal employment opportunities to all employees and applicants. Please see our Privacy Statement for more information.