Analytics Engineer
Quick Summary
About InsifyWe are a high-growth scale-up backed by €43M in total funding from world-class investors like Accel, Munich Re Ventures, and Formula 1 champion Nico Rosberg.
We are a high-growth scale-up backed by €43M in total funding from world-class investors like Accel, Munich Re Ventures, and Formula 1 champion Nico Rosberg. While we started our journey five years ago in the Netherlands, we have since expanded into France and Germany, and we’re just getting started. Our mission is to dominate the European market and become a global leader in AI-powered SME insurance.
We're looking for a highly motivated Analytics Engineer who will work closely with Product and Insurance departments to bring instant, tailored and affordable financial safety products to entrepreneurs.
Design and implement a data model that can serve as a reliable base for all data use-cases.
Create and maintain data marts to ensure business users have access to clean and structured data.
Take ownership of internal and external reports (e.g. financial, operational reports) that keep stakeholders well informed.
Excellent SQL. You can write SQL in a readable and efficient way.
Data modeling. You can create multipurpose data marts.
DBT and Git. You know how to organize your code.
Dashboarding tools. Databricks and QuickSight or alternatives.
Curiosity and growth mindset. A passion for continuous learning and self-improvement. Eagerness to explore new ideas, experiment with innovative solutions, and seek feedback to drive personal growth.
Collaboration. Excellent communication skills and the ability to work effectively with cross-functional teams.
Listing Details
- Posted
- April 3, 2026
- First seen
- April 3, 2026
- Last seen
- April 26, 2026
Posting Health
- Days active
- 23
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- April 26, 2026
Signal breakdown

Insify is a digital insurance platform for European SMEs and entrepreneurs, offering fast, flexible business insurance through an AI-powered end-to-end digital experience.
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