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# Senior Analytics Engineer, Product

- **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, BigQuery, Software as a Service, Data Systems, Data Warehousing, Systems Development Life Cycle, Standard Sql, Large Language Models, Snowflake, Core Data, Data Management, Vertica
- **Published:** May 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9880ecdfb7acb3b8

## About the Role

Do you have experience in System development?, * 5+ years of experience in analytics engineering, BI, or data roles within a SaaS or technology company

 * Deep experience supporting Product, Growth, or Engineering functions, ideally in a product-led or technical product environment
 * Highly proficient in SQL and experienced in building analytical data models with dbt or similar tools
 * Experience working with modern data warehouses such as ClickHouse, Snowflake, or BigQuery, and is excited to go deep on ClickHouse
 * 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 for both technical and non-technical audiences
 * Comfortable operating in ambiguity and taking ownership of open-ended problems in a fast-growing function

## Description

* Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate them into technical requirements
 * Develop deep expertise in the ClickHouse product and platform, becoming the connective tissue between product surfaces, engineering telemetry, and stakeholder reporting
 * Own and develop core data models, datasets, and dashboards that serve as the foundation for product decision-making across growth and the broader ClickHouse product portfolio
 * Partner closely with Product, Engineering, and Growth to align on metric definitions, instrument new features, and operationalize a single source of truth for product data
 * 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
 * Deliver insights and recommendations that inform product strategy, roadmap prioritization, and growth experimentation


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