Analytics Engineer

Навыки

• Коммуникация
• Customer Success
• dbt
• Отладка и поиск ошибок
• DWH
• ETL / ELT
• Google Tag Manager

О компании и продукте

• Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
• How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear
• A video series: Conversations on Quality https://linear.app/quality
• Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear

Задачи

• 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

Требования

• 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: 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

Условия

• 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
• A story about our mission: Read Me https://linear.app/readme
• Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London
• This role is open to candidates based in North America
• You can work from anywhere within this region
• We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel

Как проходит отбор

• How we hire at Linear https://linear.app/now/how-we-hire-at-linear

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