ClickHouse
Cloud
SeniorAnalyticsEngineer,Product
“Senior Analytics Engineer, Product at ClickHouse. Skills: Analytics Engineering, BI, Data Modeling, SQL, dbt, Python, AI tools. 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”
What You'll Achieve.
scale our product analytics function; turn data into a strategic asset for the teams building ClickHouse Cloud and our broader product portfolio; make better decisions; improve data accessibility, reliability, and usability across the organization; enable natural language access and automated insights; inform product strategy, roadmap prioritization, and growth experimentation
Industry & Context.
taking ownership of open-ended problems
What They're Looking For.
Must Have
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, Highly proficient in SQL, experienced in building analytical data models with dbt or similar tools, 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, 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
Nice to Have
ideally in a product-led or technical product environment, excited to go deep on ClickHouse
What You'll Do.
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
Own and develop core data models
and dashboards that serve as the foundation for product decision-making
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
Deliver insights and recommendations that inform product strategy
roadmap prioritization
and growth experimentation
How You'll Work.
Team & Collaboration
partnering deeply with Product, Engineering, and Growth to define what we measure, how we model it, and how we use it to make better decisions; 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
Communication Scope
Communicates clearly; translate complex data into actionable business insights for both technical and non-technical audiences
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