ClickHouse

Cloud

SeniorAnalyticsEngineer,Product

$176–220k Menlo Park, California, United States; United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Cloud
Problems you'll solve

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

Full Job Description

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! 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. Hybrid: We intend to fill this role in the San Francisco Bay Area, and expect this position to go into our Menlo Park office 1-2x per week. 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

Free ATS check

Applying for this Senior Analytics Engineer, Product role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about ClickHouse?

Real rants from real employees. Read before you apply.

Read Company Rants →