Senior Analytics Engineer, Product

ClickHouse
San Francisco; USA ( ), US
Hybrid

Who this role is best for

Aimed at senior analytics engineers with SaaS experience who thrive in hybrid roles and can bridge product and engineering data needs.

Best fit for

  • Senior analytics engineers who can operationalize product data across growth and engineering teams.
    — “Own and develop core data models, datasets, and dashboards that serve as the foundation for product decision-making
  • Candidates comfortable with AI-ready data models and self-service analytics workflows.
    — “Develop AI-ready data models and self-service solutions that enable natural language access
  • Hybrid workers willing to commute to Menlo Park 1-2x weekly.
    — “expect this position to go into our Menlo Park office 1-2x per week

Things to consider

  • Requires in-office presence in the Bay Area despite remote-friendly policies.
    — “We intend to fill this role in the San Francisco Bay Area
  • Must navigate ambiguity in a fast-growing product data function.
    — “Comfortable operating in ambiguity and taking ownership of open-ended problems

How to stand out

  • Demonstrate experience instrumenting product telemetry for SaaS feature releases.
    — “instrument new features, and operationalize a single source of truth
  • Showcase ClickHouse-specific data modeling expertise in your technical examples.
    — “excited to go deep on ClickHouse
  • Highlight cross-functional work with product and growth teams in past roles.
    — “Partner closely with Product, Engineering, and Growth to align on metric definitions
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • defined data models and reporting
  • instrumented new features
  • operationalized single source of truth
Typical background
data engineeringanalytics

Skills & requirements

Required

Analytics EngineeringData ModelingSQLdbtPython

Preferred

LlmsAI Coding AssistantsAutomation Frameworks

Stack & domain

SQLdbtClickhouseSnowflakeBigQueryPythonLlmsAi Coding AssistantsAutomation Frameworks

About the role

Original posting from ClickHouse via Greenhouse

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 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

 

The typical starting salary for this role in the US is$175,500—$219,600 USDThe typical starting salary for this role in US Premium Markets is$195,000—$244,000 USDCompensation

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.

If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.

Perks

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.

Healthcare - Employer contributions towards your healthcare.

Equity in the company - Every new team member who joins our company receives stock options.

Time off - Flexible time off in the US, generous entitlement in other countries.

A $500 Home office setup if you’re a remote employee.

Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It

As part of a rapidly scaling start up, you will be instrumental in shaping our culture. 

Are you interested in finding out more about our culture?  Learn more about our values here.  Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity & Privacy 

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 

Please see here for our Privacy Statement.

Source: ClickHouse careers (Greenhouse)

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