Linear1 день назад

Analytics Engineer

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14 583 ₽медиана по профессии

Data Scientist · 21 вакансий с указанной зарплатой

7 333половина предложений: 12 500–20 00031 333

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Полная занятостьУдалёнка

Обязанности

01Work across Product and GTM to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows
02Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business
03Design clear, maintainable data models and improve the testing, documentation, performance, and reliability of our data stack
04Build dashboards and self-service reporting in Metabase and Hex, and dig deeper when the answer requires more than a chart
05Operationalize data through reverse ETL and partner with GTM Engineering on the scoring, segmentation, automations, and internal tools that help our teams scale
06Balance fast, pragmatic answers with durable solutions, recognizing when a one-off request should become a reusable model or workflow
07Find ways to leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining a high bar for correctness

015+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company
02Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse
03Track record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on
04Strong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology
05Analytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation
06Comfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency
07High ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense
08Strong communication skills and experience partnering directly with both technical and non-technical teams
09Comfortable using LLMs and coding agents as part of your day-to-day development workflow

01Remote-first company with optional co-working offices in San Francisco, New York, and London
02Based in North America, work from anywhere within this region
03Deep focus and async collaboration with intentional moments to connect in person
04Competitive salary and equity
05Employee-friendly equity terms including early exercise in the US and extended exercise windows
06Daily meal and coffee stipend on every workday
07Paid co-working space or desk
08Health coverage (based on country requirements)
095 weeks paid vacation, plus local statutory holidays
104 months paid parental leave
11Paid month off after 4 years & every 2 years thereafter
12Regular team events and off-sites
13Remote-first with no required commute