
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Global"), this listing's salary midpoint is about 20% lower. The offer still falls within the benchmark range (€2,367–€14,758). The listed pay band (€5,417–€8,333) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 351 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Remote - Global | €2,367/per month | €6,692/per month | €14,758/per month |
| From job ad (Senior) | €5,417/per month | €6,875/per month | €8,333/per month |
Lightdash is an open source BI tool that helps analytics engineers by making metrics and data workflows accessible. The Analytics Engineering Advocate role focuses on helping users succeed with Lightdash, teaching and sharing analytics best practices, and building the analytics engineering community. You’ll spend significant time assisting users via Slack and calls, diagnosing issues, and pair-programming through problems. You’ll work with AI-powered workflows and contribute to the evolving AI capabilities in Lightdash. Areas of responsibility include obsessing over user success, being the Lightdash expert, teaching and sharing, and building community. Requirements include hands-on experience with dbt, SQL, data modeling, git, CLI, data visualization tools, and comfort with AI coding assistants; deep understanding of BI and analytics workflows; strong communication and relationship-building skills; ability to work UTC +/- 3. Able to work remotely. Logistics include UTC +/- 3 hours.
Job Details
Responsibilities
- Obsess over user success through technical problem-solving
- Be the Lightdash expert
- Teach and share
- Build and grow community
Requirements
- Strong hands-on experience with dbt, SQL, data modeling, and modern data stacks
- Comfortable with git, the command line, and data visualization tools
- Proficient with AI coding assistants and productivity tools; you should be comfortable using AI to write code, debug issues, and accelerate your work
Skills & Technologies

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