Analytics Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - North America"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€5,621–€15,450). The listed pay band (€472–€747) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 22 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Analytics Engineer | €3,787/per month | €4,497/per month | €5,207/per month |
| All roles in Remote - North America | €5,621/per month | €9,868/per month | €15,450/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €472/per month | €609/per month | €747/per month |
Analytics Engineer role at Linear. Join a remote-first team building the project management software that empowers high-impact companies. The Data team owns data pipelines, warehouse, dashboards, analysis, and integrations. Location: North America, remote-friendly with optional co-working in SF, NY, London. What you’ll do: turn questions into metrics, build dbt models, design data models, create dashboards in Metabase and Hex, reverse ETL, collaborate with GTM. What we’re looking for: 5+ years in analytics engineering or related field; strong SQL; dbt; end-to-end data projects; data modeling; business-context fluency; strong communication; comfort with LLMs. What Linear offers: competitive salary and equity, health coverage, vacation, parental leave, remote-first culture.
Job Details
Responsibilities
- Turn ambiguous questions into metrics and workflows across Product and GTM
- Build and maintain dbt models and pipelines
- Design clear data models and improve data stack quality
- Create dashboards and self-service reporting in Metabase and Hex
- Operationalize data through reverse ETL and collaborate with GTM Engineering
- Balance rapid answers with durable solutions and build reusable models
- Explore emerging tools and LLMs to accelerate development while ensuring accuracy
Requirements
- 5+ years of experience in analytics engineering, data analytics, or data engineering
- Exceptional SQL and experience with dbt and cloud data warehouses
- Track record of owning data projects end-to-end
- Strong data modeling judgment
- Analytical judgment and ability to translate findings into recommendations
- Comfort moving between technical implementation and business context
- Strong communication skills
- Experience with LLMs and coding agents
Skills & Technologies
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