Senior Analytics Engineer, Product

at ClickHouse

📍 Menlo Park, United States
📍 San Francisco, United States

USD 175,500-244,000 per year

SENIOR

✅ Hybrid

Used Tools & Technologies

LLM

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Python @ 6 SQL @ 6 dbt @ 6 Hiring @ 4 Prioritization @ 4 Data Analysis @ 6 Experimentation @ 4 BI @ 6 Reporting @ 4 Snowflake @ 4 AI @ 4 ClickHouse @ 4

Details

ClickHouse is hiring a Senior Analytics Engineer, Product to help scale the product analytics function and turn data into a strategic asset for teams building ClickHouse Cloud and the broader product portfolio. This role partners closely with Product, Engineering, and Growth to define measurement, modeling, and analytical workflows that drive product decisions.

Responsibilities

Understand stakeholder data needs and translate them into technical requirements
Develop deep expertise in ClickHouse product and platform, connecting product surfaces, engineering telemetry, and stakeholder reporting
Own and develop core data models, datasets, and dashboards used for product decision-making across growth and other ClickHouse products
Partner 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 to improve data accessibility, reliability, and usability
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

Requirements

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 with modern data warehouses such as ClickHouse, Snowflake, or BigQuery (and excitement 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 able to apply them in analytical work
Strong communicator, able to translate complex data into actionable insights for technical and non-technical audiences
Comfortable operating in ambiguity and owning open-ended problems in a fast-growing function

Location & Working Model

Role is intended to be filled in the San Francisco Bay Area. Hybrid: expected to be in the Menlo Park office 1–2x per week.

Compensation

Typical starting salary (United States): $175,500 - $219,600 USD
Typical starting salary (US Premium Markets, e.g., San Francisco Bay Area): $195,000 - $244,000 USD

Perks

Flexible work environment; globally distributed and remote-friendly
Employer contributions towards healthcare
Stock options for new team members
Flexible time off (US) and generous entitlement in other countries
$500 home office setup for remote employees
Global gatherings and company-wide offsites

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities and prohibits discrimination. See the ClickHouse applicant privacy notice for more details.