Analytics Engineer

Analytics Engineer

We're hiring an Analytics Engineer to build the data backbone that the rest of Framer consumes. The Data team is deliberately small and sits unusually close to the business: the models you build feed the board deck, the founders read your launch updates in Slack, and when leadership asks "is this working?", you're the one who answers with numbers you can defend. This role exists to drive decisions, not dashboards for their own sake.

What You'll Do

You'll own a big part of how we model and measure our PLG funnel, with a particular focus on marketing analytics: attribution, campaign performance, and understanding what actually drives growth. But the surface is wide — revenue modeling, pricing changes, product launches, marketplace — and it shifts with the business. When we shipped Framer Agents, the Data team went from launch-day dashboards to company-wide revenue updates within the week.

The stack is ready on day one (BigQuery, dbt, and Airflow, with tracking already implemented), so you can dive straight into modeling and analysis rather than setup. We use AI heavily and expect you to: Claude Code and similar tools are part of daily work here, not an experiment.

In practice, you'll:

• Build and maintain the data models other teams rely on, from raw events to trusted metrics
• Own marketing analytics: attribution, campaign performance, spend data quality, and funnel analysis
• Turn messy business questions into crisp, decision-ready answers — often for founders or the board, often within days
• Keep our metrics clear, consistent, and trusted while the product changes fast underneath them (new pricing, new products, new billing)
• Use AI heavily in your own workflow and raise the bar for how the team works with it

What You'll Bring

• Strong technical foundation: expert SQL, dbt, and experience building pipelines end to end
• Genuine curiosity about the business behind the data: you want to know why a metric moved, not just report that it did
• A solid grasp of SaaS/PLG metrics (activation, conversion, retention, ARPU, expansion, churn, LTV, CAC, payback)
• Real enthusiasm for AI: it has already changed how you work, and you're curious where it takes data work next
• Scrappy startup energy: pragmatic judgment, fast shipping, and acceptance that not every model or analysis must be perfect to create impact
• Marketing or attribution experience is a plus, not a requirement — strong generalists are very welcome

How We Work

Work flexibly from wherever you do your best thinking. Choose the tools and setup you need, come together for meaningful time with the team, and own a stake in what you're building.

What We're Building

Framer is the design agent for every step from idea to launch. It works alongside you to explore ideas, design on the canvas, manage content, and publish to the web.