Senior Analytics Engineer, GTM

USD 175,500-244,000 per year
SENIOR
✅ Hybrid

Used Tools & Technologies

LLM

Required Skills & Competences

Marketing @ 4 Python @ 6 SQL @ 6 dbt @ 6 Hiring @ 4 Communication @ 7 Data Analysis @ 6 BI @ 6 Reporting @ 4 Snowflake @ 4 Salesforce @ 4 Observability @ 4 AI @ 4 ClickHouse @ 4

Details

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is a fast-growing private cloud company focused on real-time analytics, data warehousing, observability, and AI workloads. ClickHouse is hiring a Senior Analytics Engineer, GTM, to help scale a data-driven go-to-market organization. In this hybrid role based in the San Francisco Bay Area you will act as a core operator of the GTM data system, shaping how the company measures performance, understands the revenue funnel, and drives decision-making across Sales, Revenue Operations, and Finance.

Responsibilities

  • Own and develop core data models, datasets, and dashboards that serve as the foundation for GTM reporting and decision-making
  • Enable a single source of truth for GTM metrics by partnering with cross-functional stakeholders to define, standardize, and operationalize key business logic
  • Deliver insights and recommendations that improve GTM performance and inform strategic decisions
  • 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
  • Partner closely with Sales, Revenue Operations, Finance, and Marketing to align on priorities and drive impact

Requirements

  • 5+ years of experience in analytics, BI, or data roles within a SaaS or technology company
  • Experience supporting GTM, sales, or revenue operations functions and working directly with Salesforce and related GTM systems
  • 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
  • Strong communication skills and the ability to translate complex data into actionable business insights
  • Comfortable operating in ambiguity and taking ownership of open-ended problems

Compensation

The typical starting salary for this role in the US is:

$175,500 - $219,600 USD

The typical starting salary for this role in US Premium Markets is:

$195,000 - $244,000 USD

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.

Perks

  • Flexible work environment; ClickHouse is globally distributed and remote-friendly
  • Employer contributions towards healthcare
  • Equity via stock options for new team members
  • Flexible time off in the US; generous entitlement in other countries
  • $500 home office setup for remote employees
  • Global company gatherings and offsites

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities and prohibits discrimination and harassment. See the company's Applicant Privacy Notice for more information.