Senior Data Analyst

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 culture puts 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 by Alexandre and Steve, Qonto 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 Qonto: 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. ------------------------------------------------------------------------------------------------------ Join us as a Data Analyst to partner with Qonto's Corporate & Operations teams — Finance, Strategy, Customer Care, Customer Success, AML, Fraud, and Banking Ops — and help them move from reactive reporting to data-driven daily decisions. You'll work directly with Alma, our Lead Data Analyst for Ops & Finance, in a team that is actively transforming what analytics means at Qonto: less dashboard-on-demand, more business decisions changed. 👩‍💻🧑‍💻 As a Data Analyst at Qonto, you will Own operational BI end-to-end: Build, consolidate, and maintain dashboards that Nelcy, Chloé (COO), Victor (Strategy), and Nathalie (Finance) use daily. Deliver analyses that drive action: Go deep on retention drivers — understanding how product usage, Customer Success actions, help retain client and how product frictions contribute to churn — and assess the financial impact of inactive clients. The job isn't done when the analysis is shared; you follow through until a decision is made. Model reusable data assets in DBT: Build clean, documented data models on top of Snowflake that enable self-service — so Operations stakeholders can answer their own questions without raising a new request every time. Participate toour BI migration from Tableau to Omni: Help build the semantic layer (the single source of truth for every KPI), manage change across departments with different levels of stakeholders, and unlock AI usage to deliver insights at scale. 🤔 What you can expect Analytics work that directly changes decisions: Your stakeholders use data to run their teams daily. When you deliver a retention driver analysis or consolidate dashboards, you see it influence resource allocation or customer strategy within weeks — not quarters. How we work: We follow the Qonto Way methodology — one-piece flow, value analysis, and value engineering. Projects range from 5 days to 2-3 weeks, with a one-month adoption period post-delivery. Success means stakeholders act on insights, not just receive them. A team moving from reactive to anticipatory: We're building systems that surface what matters before the business asks — including AI assistants that let stakeholders interrogate their dashboards directly. We have already shipped AI agents in the team; you'll build on that. Modern Data Stack: Snowflake, Airflow, Dbt, Tableau, Omni. ➡️ Your future manager Your manager will be Alma, our Lead Data Analyst for Ops & Finance. Alma knows exactly what it takes to build an analytics function that actually changes decisions, and she'll push you to do the same. Alma reports to Erwan, Director of Business Analytics who oversees the entire Analytics function and ensures alignment across teams. 🏅 About You SQL depth: You write complex queries — joins, CTEs, window functions...