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# Senior Analytics Engineer, GTM

- **Company:** Clickhouse Inc
- **Location:** Menlo Park, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $175,500.0 - $219,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Business Logic, BigQuery, Software as a Service, Cloud Computing, Data Systems, Data Warehousing, Standard Sql, Salesforce.Com, Large Language Models, Snowflake, Core Data, Data Management, Vertica
- **Published:** May 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b19d1c53f340ab92

## About the Role

Do you have experience in Salesforce Cloud?, * 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

## Description

* 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


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