Analytics Engineer

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Linear

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚡ Productivity

☁️ SaaS

Productivity • SaaS

Linear is a software development company that aims to set a new standard in modern software creation. With a focus on the quality of software driven by the talent and well-being of its creators, Linear strives to make the software development process feel magical.

📋 Description

• 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 the product, customers, and business • Design clear, maintainable data models and improve testing, documentation, performance, and reliability of the data stack • Build dashboards and self-service reporting in Metabase and Hex, and conduct deeper analysis when needed • Operationalize data through reverse ETL and partner with GTM Engineering on scoring, segmentation, automations, and internal tools • Balance fast, pragmatic answers with durable, reusable models and workflows • Leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining correctness

🎯 Requirements

• 5+ 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 covering grain, reusable components, interfaces, dependencies, and maintainability • Analytical judgment to determine when to answer quickly, investigate deeply, and turn complex findings into clear recommendations • Comfortable moving between technical implementation and business context • High ownership mentality: self-directed, pragmatic, and willing to challenge requests or approaches when appropriate • Strong communication skills and experience partnering directly with technical and non-technical teams • Comfortable using LLMs and coding agents in daily development workflows • Comfortable learning quickly and working across the full data lifecycle • Experience with or ability to work across Snowflake, dbt Cloud, Metabase, Hex, Hevo, Fivetran, HubSpot, Pocus, and Clay • Must be based in North America • Must be based in a US-equivalent timezone

🏖️ Benefits

• 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