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Senior Analytics Engineer, Product

ClickHouse LogoClickHouse
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Salary

US: $175,500 - $219,600 / US Premium Markets: $195,000 - $244,000

Location

Menlo Park, CA

Posted

3 days ago

ClickHouse is hiring 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.

In this role, you will be a core operator of our product data system, 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. You will own foundational data models, metrics, and analytical workflows that span growth and our expanding suite of ClickHouse products as we continue to build out our product data function.

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

What you bring along

  • 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

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