Analytics Engineer

United States Digital Space LLC; Paris (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Qonto seeks an Analytics Engineer in Business Analytics to own end-to-end data models feeding Product, Growth and Ops Finance analytics, designing scalable dbt models and migrating to Omni with a real semantic layer.

You will collaborate with Jules Jeanroy, Analytics Engineering Manager, and partner daily with Business Analysts across Product, Growth, and Ops Finance to build reliable data foundations and scale analytics practices.

Qualifications

• Analytics Engineering fundamentals — strong in dbt and SQL, especially dimensional modeling.
• Shipped production-grade models that other teams rely on for dashboards.
• Familiarity with data platforms and semantic layers.

Responsibilities

• Build data models trusted by Business Analytics teams; design and ship dbt models and tests.
• Partner with Business Analysts to ensure data reliability and avoid quick fixes.
• Reduce technical debt by migrating data stack components to scalable solutions like Omni.
• Own projects end-to-end from discovery through delivery and measure impact.
• Scale workflows with AI to speed up documentation, testing, and modeling.

Skills

dbt

SQL

Dimensional modeling

Analytics Engineering

Tools

dbt

Job description

Our mission and customers: 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. We are proud to be rated 4.8 on Trustpilot,based on 55,000+ reviews. Our cultureputs customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75(more about our culture here).

Our journey:Founded in 2017 byAlexandre and Steve, the company has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started.

Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit.

AI at the company: AI is deeply embedded in how we work (here)- Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.

Mission: 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 the company for years to come.

As an Analytics Engineer at the company, 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 the company (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 your future manager: Your manager will be Jules Jeanroy, our Analytics Engineering Manager.

Jules joined the company in March 2026 to lead the Analytics Engineering team that partners with Business Analysts. He focuses on strengthening the way Analytics Engineers and Business Analysts work together, building reliable, high-quality data foundations, and scaling data practices as the company grows. Before the company, he worked as Lead Analytics Engineer at Spendesk and as a BI Engineer at Brevo, back in the pre-dbt world. His leadership style is direct and collaborative. You can hear him talk about Analytics Engineering in French in this podcast.

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

At the company, we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick — who knows? You may have the missing piece of the puzzle we’ve been searching for all along.By applying, you agree that the company processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details.

On average, our hiring process lasts 20 working days. Moreinformationon our candidate journey here

Recruitment scams are on the rise. Keep in mind, we will never work with third-party platforms or agencies that request payment from candidates.

If you receive a suspicious message claiming to be from the company, please report it right away (Find more English Speaking Jobs in France on Arbeitnow