Role Overview
The Analytics Engineer will lead the shift towards AI-powered self-service analytics, building models and context to make data reliable and accessible.
What You Will Do
The role involves building reusable data models, transformations, and pipelines, defining shared metrics, building AI assistants, and creating reusable agent skills and workflows.
Why It Might Be a Fit
The ideal candidate will have commercial curiosity, clear communication skills, and AI-native habits, with experience in analytics engineering, data engineering, or data analytics.
Requirements
- Relevant experience in analytics engineering, data engineering, or data analytics
- Commercial curiosity
- Clear communication skills
- AI-native habits
- Strong SQL skills
- Cloud data warehouse experience
- Engineering practices for data
- Python and data modelling skills
- Ownership and a get-it-done attitude
Benefits
- RSUs grant
- Annual bonus
- Multinational team
- Learning & Development plan
- Notebook/Macbook and 34” curved monitor
- Access to a company 3D printer
- Height adjustable office desk
- 25 days of vacation
- 4 sick days
- 10 care days
- Extra parental vacation (3-6 months)
- RSUs grant for a newborn child
- Life insurance
- Multisport card
- Remote working allowance
- Snack bar, coffee, tea, fruit, and vegetable, and sweets all day
- Monday breakfast, Wednesday lunch, and Friday break with company-provided food and drinks
- Flexible working hours + home office
- Company therapy pets in Prague’s office
- Team buildings, parties, and company events multiple times a year
To apply for this job please visit make.com.
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