C

Data Scientist, Growth

Clickhouse
1 day ago
Full-time
Remote
Worldwide
Remote Data

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!

NOTE: this position can be remote anywhere within the United States.

ClickHouse is looking for our first Growth Analyst to build marketing attribution infrastructure and drive product-led growth through data insights. In this role, you'll be the expert on how marketing campaigns influence product signups and revenue, while owning analytics across our entire self-serve funnel. You'll establish attribution frameworks, analyze experiments, and connect marketing investments to growth outcomes. As our first growth analyst, you'll also support broader marketing analytics needs across the organization.

We're looking for someone who thrives on measurement and experimentation. You'll have the opportunity to build attribution systems from the ground up and shape how we understand marketing's impact on product growth alongside a passionate community of ClickHouse users.

What you will do:

  • Build and own multi-touch attribution models that connect marketing campaigns, channels, and touch points to product signups, trial starts, and pipeline
  • Partner with marketing to analyze campaign performance across paid, organic, and community channels—measuring impact on signup volume, user quality, and conversion rates.
  • Establish marketing data pipelines and ensure clean, standardized tracking across web analytics, marketing platforms, and product data.
  • Design, analyze, and interpret A/B tests across the website and product to optimize conversion rates at each funnel stage.
  • Own analytics for the product-led growth funnel: website conversion, signup flows, onboarding, and activation metrics.
  • Support broader marketing analytics needs including content performance, event impact, webinar analysis, and demand generation reporting.&lt