Senior Analytics Engineer, Product
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!
About the Role
We are seeking a Senior Analytics Engineer, Product to help scale our product analytics function and turn data into a strategic asset for the teams building ClickHouse Cloud and our broader product portfolio.
What You'll Be Doing
- 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
Qualifications
- 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
Pay
The typical starting salary for this role in the US is $175,500 - $219,600 USD. The typical starting salary for this role in US Premium Markets is $195,000 - $244,000 USD. Compensation For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.