Role Overview
The Analytics Engineer will help lead the shift towards AI-powered self-service analytics, building models and context that make data reliable and AI tools that make it accessible. The role will have a company-wide impact, changing how teams across Make make decisions.
What You Will Do
The Analytics Engineer will build and maintain reusable data models, transformations, and pipelines, define and maintain shared metrics and business rules, build AI assistants, and create reusable agent skills and workflows.
Why It Might Be a Fit
The ideal candidate will have relevant experience in analytics engineering, data engineering, or data analytics, commercial curiosity, clear communication skills, AI-native habits, strong SQL skills, and experience with cloud data warehouses and Python.
Requirements
- Relevant experience in analytics engineering, data engineering, or data analytics
- Commercial curiosity
- Clear communication skills
- AI-native habits
- Strong SQL skills
- Experience with cloud data warehouses
- Experience with Python and data modelling
- Engineering practices for data
- Ownership and a get-it-done attitude
Benefits
- RSUs grant
- Annual bonus
- Multinational team with 42 nationalities
- Learning & Development plan
- Company Learning Days
- Company Impact Day
- Notebook/Macbook
- 25 days of vacation
- 10 care days
- Extra parental vacation
- RSUs grant for a newborn child
- Life insurance
- Meal and transportation tickets
- Medical insurance
- Team buildings and parties
To apply for this job please visit make.com.
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