Senior Analytics Engineer, Product

ClickHouse ClickHouse · Data AI · United States · Finance

This role focuses on building and scaling product analytics, owning foundational data models, metrics, and analytical workflows. The engineer will partner with Product, Engineering, and Growth teams to define measurements, model data, and drive better decisions. A key aspect is developing AI-ready data models for natural language access and automated insights, and leveraging AI tools in analytical work. The role requires strong SQL, dbt, Python, and experience with data warehouses, with a focus on ClickHouse.

What you'd actually do

  1. 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
  2. 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
  3. Build scalable data systems and workflows that improve data accessibility, reliability, and usability across the organization
  4. Develop AI-ready data models and self-service solutions that enable natural language access and automated insights
  5. Deliver insights and recommendations that inform product strategy, roadmap prioritization, and growth experimentation

Skills

Required

  • 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
  • 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

Nice to have

  • excited to go deep on ClickHouse

What the JD emphasized

  • Develop AI-ready data models and self-service solutions that enable natural language access and automated insights
  • Highly fluent with AI tools and workflows, including LLMs, AI coding assistants, and automation frameworks, and applies them effectively in analytical work