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.

You will work closely with Jules Jeanroy, our Analytics Engineering Manager, and partner daily with Business Analysts across Product, Growth, and Ops Finance. The team is at a pivotal moment — investing in scalability, cutting technical debt, and building the standards that will define how Analytics Engineering works at Qonto for years to come.

➡️ As an Analytics Engineer at Qonto, you will:

• 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

➡️ What you can expect:

• Join at a pivotal moment — the team is scaling and migrating to Omni; you’re helping shape what comes next, not just maintaining what already exists

• Room to move — grow horizontally across Business Analytics, Compliance, and Foundation scopes, or work toward mentoring and standards ownership within the BA team as a senior profile

• Business partnering is core, not incidental — you’ll work daily with Product, Growth, and Ops Finance stakeholders; challenging a request without damaging the relationship matters as much as your technical chops

• AI is the multiplier — we use AI daily at Qonto (read our vision); we expect you to use it too, not just as a coding assistant but to speed up modeling, documentation, and testing

 About You

• 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