Qonto

Overview

Join us as Analytics Engineer x Business Analytics and become the person our Business Analytics teams can build on without a second thought. You will own end-to-end the data models feeding Product, Growth, and Ops Finance analytics — designing scalable dbt models, pushing back on requests that would trade reliability for speed, and helping the team migrate to Omni and a real semantic layer.

About Qonto

We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries.

Requirements & Eligibility

• Analytics Engineering fundamentals — you're strong in dbt and SQL, especially dimensional modeling; you've shipped production-grade models other teams build dashboards on top of
• Comfortable pushing back — you know how to challenge a stakeholder request that would hurt data quality, without shutting down the relationship
• Built for scale, not just speed — you design models that hold up months later, and know when "good enough now" beats "perfect later"
• AI-native work style — you use AI tools beyond just chatting, to speed up modeling, documentation, or test generation
• Appetite for ownership — you're ready to take projects end-to-end, and, if senior, to help raise the team's standards too

Key Responsibilities

• Build data models Business Analytics teams trust — design and ship dbt models and tests that hold up under real, everyday use across Product, Growth, and Ops Finance
• Partner with Business Analysts, not just execute for them — understand what they actually need, and push back when a request would trade long-term reliability for a quick fix
• Reduce technical debt at scale — help migrate parts of the data stack to a more scalable setup, including our ongoing move to Omni
• Own your projects end-to-end — take work from discovery through delivery, and follow up on its real impact instead of just closing a ticket
• Scale your own workflow with AI — use AI tools to speed up documentation, testing, and modeling work, while keeping the judgment calls in your hands

Interview Process