Analytics Engineer

What you’ll do

• Work across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows
• Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business
• Design clear, maintainable data models and improve the testing, documentation, performance, and reliability of our data stack
• Build dashboards and self-service reporting in Metabase and Hex, and dig deeper when the answer requires more than a chart
• Operationalize data through reverse ETL and partner with GTM Engineering on the scoring, segmentation, automations, and internal tools that help our teams scale
• Balance fast, pragmatic answers with durable solutions, recognizing when a one-off request should become a reusable model or workflow
• Find ways to leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining a high bar for correctness

What we're looking for

• 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company
• Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse
• Track record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on
• Strong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology
• Analytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation
• Comfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency
• High ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense
• Strong communication skills and experience partnering directly with both technical and non-technical teams
• Comfortable using LLMs and coding agents as part of your day-to-day development workflow

• Our tech
• This stack reflects the systems you’ll work in. You’re not expected to have experience with everything listed, but you should be comfortable learning quickly and working across the full lifecycle of data.

• Data Warehouse: Snowflake, dbt Cloud
• Dashboards / Analysis: Metabase, Hex
• ETL / rETL: Hevo, Fivetran
• GTM tools: Hubspot, Pocus, Clay

What we offer

We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:

• Competitive salary and equity
• Employee-friendly equity terms including early exercise in the US and extended exercise windows
• Daily meal and coffee stipend on every workday
• Paid co-working space or desk
• Health coverage (based on country requirements)
• 5 weeks paid vacation, plus local statutory holidays
• 4 months paid parental leave
• Paid month off after 4 years & every 2 years thereafter
• Regular team events and off-sites
• Remote-first with no required commute

Learn how we think and work

• How Linear uses Linear: How our Customer Experience team works in Linear
• A video series: Conversations on Quality
• Our recent tender offer: Sharing Linear’s growth with the people building it