
Alma · Paris
🧡 ABOUT ALMA At Alma, we believe sustainable commerce depends on fair, well-balanced trade. Because finance plays a pivotal role in business, our mission is t...
At Alma, we believe sustainable commerce depends on fair, well-balanced trade. Because finance plays a pivotal role in business,
our mission is to put it back in its rightful place - serving merchants and consumers.
Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a
seamless shopping experience - without encouraging bad debt.
As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10
million consumers.
With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting
started!
You will join the Product Analytics team, currently composed of Louis and Camille, embedded within the wider Data Analytics
organization (Eng > Data & AI > Data Analytics). The team's mission is to enable the Product organization through data — from
discovery to impact measurement.
You will report to Louis, Product Analytics Manager, and collaborate closely with a product organization of 11 Product Managers,
Product Design, and Product Marketing teams. You will own the Core Tribe, which sits at the heart of Alma's product — covering
financial flows, risk & scoring, and payment lifecycle. The PMs in this tribe are notably data-savvy, making it a particularly
exciting scope to work on.
This position is a CDI based in Paris.
Be the data partner for the Core Tribe
support discoveries, and provide data-driven recommendations that directly influence product prioritization.
Own and scale the analytics foundations of your scope
important metrics — ensuring data is reliable, accessible, and actionable.
Design and run experiments
confident, evidence-based decisions.
Raise the bar across the Product Analytics team
standards and impact — not just your own perimeter.
SQL, BigQuery, dbt, Argo Workflow, Looker, Google Colab, Claude Code, Segment, Rudderstack, Python
To succeed in this job
causality)
technical and non-technical stakeholders
And it will be nice if you also
Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we
encourage you to apply. We value potential, curiosity and the ability to grow as much as experience.
pivotal moment, with a lot still to build in terms of tools, processes, and best practices.
a clear perimeter and real latitude to shape how data is used within it, alongside data-savvy PMs who speak your language.
Analytics team. This is a role where growth is structural, not just a promise.
paid at 100% for 8 weeks.
At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace
where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age,
sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all
walks of life, and all employment decisions are made based on qualifications, merit, and business needs.
Notre mission ⚖️ Chez Doctrine, nous construisons le leader de l’IA juridique en Europe. Notre conviction ? Le droit ne doit pas être ralenti par des tâches répétitives. Il doit être augmenté par une IA spécialisée, conçue pour comprendre, analyser et produire du raisonnement juridique avec un haut niveau d’exigence. Notre ambition ? Permettre aux professionnels du droit de gagner en fiabilité, en efficacité et en sérénité, grâce à une plateforme unique, exhaustive et sécurisée. Aujourd’hui, 27 000 professionnels du droit, répartis dans cinq pays (France, Italie, Allemagne, Espagne, Luxembourg), nous font confiance. Notre développement est guidé par une approche claire : une vision globale, ancrée dans une compréhension fine des spécificités locales. Derrière cette ambition, une équipe d’environ 250 personnes, réunies autour d’un même objectif : accompagner les juristes et avocats à toutes les étapes de leur travail, de l’analyse à la rédaction. Et nous n’en sommes qu’au début. Le contexte L'IA transforme profondément l'industrie du droit. Les gains de productivité potentiels sont énormes, et une course mondiale est lancée depuis l'émergence de l'IA Générative pour concevoir les outils de demain. Doctrine a l'ambition et les moyens d'être le leader de l'IA juridique en Europe. Nous investissons donc massivement dans l'innovation et dans notre expansion internationale. Notre réussite depuis 2016 repose surtout sur notre organisation et notre culture. Dans tous les domaines nous visions les meilleurs standards mondiaux. Nous ouvrons ce poste de Product Data Analyst pour faire de Doctrine une des organisation exemplaire dans son usage des données produit. Le / la Product Data Analyst devra permettre à l’entreprise de prendre les bonnes décisions grâce à la donnée produit et promouvoir une culture data-driven. Le / la Product Data Analyst sera amené à travailler avec tous les métiers de l’entreprise, sur des projets différents. Principalement avec les PM et les développeurs des 9 différentes équipes, en collaboration avec une autre PDA et le VP Produit, mais aussi les équipes marketing, sales, etc.
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 Compliance Expert Data Analyst to build the analytics foundations that power Qonto's compliance execution. You'll own a brand-new scope — monitoring KYC/KYB funnels, remediation campaigns, and financial exposure — working cross-functionally with Product, Ops, Risk & Compliance, and Internal Control, under the guidance of Alma, our Lead Data Analyst. 👩💻🧑💻 As a Data Analyst at Qonto, you will Build compliance process monitoring from scratch: You'll build and own the data infrastructure that powers compliance monitoring at Qonto — from onboarding funnel analytics to remediation financial exposure — giving product, operations and compliance teams the self-service tools they need to make decisions without waiting on a data request. Model and transform data with dbt: With the collaboration of Analytics Engineer Team, you'll build end-to-end transformation pipelines from source to consumption layer, keeping metric definitions clean and trusted by non-technical stakeholders. Turn regulatory questions into self-service assets: You'll partner with Product, Ops, Risk & Compliance, and Internal Control to scope and ship analytical tools Own the KYC/KYB funnel analytics end-to-end: You'll deliver insights from CS initiation through KYB validation — refusal reasons, document gaps, lead-time distributions — so teams can act on friction fast. Track remediation campaigns and financial exposure: You'll measure MRR secured, at risk, or lost across active campaigns, with peak intensity in Q4 (budget season) and May–June (reforecast). 🤔 What you can expect A greenfield, strategically critical scope: Qonto is under close regulatory scrutiny — you'll build analytics foundations that matter company-wide, not just for your team. Senior, cross-functional exposure from day one: Product, Ops, Risk & Compliance, Internal Control — few DA roles give you this breadth of senior stakeholder access at this level. Real ownership in the Modern Data Stack: You'll build in Omni and dbt with a high degree of autonomy — no legacy to untangle, just foundations to create. A team where AI is a first-class tool: Unlimited access to AI tools (Claude, Cursor, and more) to evolve how you work, not just output more. ➡️ 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 Compliance or regulated environment experience: You've worked analytically on KYC/KYB, AML, remediation, or similar regulatory/operational processes — and you know how to get credible with those stakeholders fast. Self-service product mindset: You've designed dashboards and models for end-users to explore autonomously, adapting the same dataset from ops-level (daily SLA tracking) to exec-level (budget readouts). Cross-functional stakeholder management: You've juggled competing analytical priorities across multiple teams — and you know how to scope clearly, push back when needed, and drive adoption. Strong SQL and data modelling skills: You've built end-to-end transformation pipelines, enforced data quality, and made non-technical stakeholders trust your numbers. AI-native workflow: You actively use AI tools to accelerate your analytics work — from data modelling to stakeholder communication — and you're genuinely curious about going further. Language: Fluent in English. At Qonto 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.
At Brevo, we’re not just building a CRM. With our technology, we’re helping millions of organizations build lasting relationships with their customers. From emails and SMS to WhatsApp, Chat, and Marketing Automation, our tools are intuitive, powerful, and built to scale with every ambition. We give businesses a clear view of the customer journey, so they can focus on what matters: connection. As a certified B Corp, we’re proud to grow with purpose, committed to high standards of social and environmental impact, not just performance. Today, more than 500,000 businesses across 180 countries—from NGOs like Amnesty International to global brands like Carrefour, eBay, Louis Vuitton, and Michelin—trust Brevo to engage their audiences, cut through complexity, and deliver results. Our reliable technology and 75+ integrations help them create unparalleled customer experiences, without the usual tech headaches. We recently exceeded 200m ARR and reached a major milestone by becoming a Unicorn, backed by strong growth and global expansion - and we’re just getting started! About the role : We're looking for a Senior Full Stack Data Analyst to join our Data & Analytics team and become the data-driven decision maker for our organization. You'll transform complex business questions into actionable insights while building the analytical infrastructure that powers strategic decisions across Brevo. This role will report directly to Delphine, Head of Analytics, and you'll work with cross-functional teams across Product, Finance, Marketing, and Revenue. You'll own the full analytics lifecycle-from understanding business needs to delivering insights and maintaining the data models that support them. This is also a role that grows toward AI. As Brevo scales, you'll architect our data foundation to be AI-ready, design AI agents for analytical and operational use cases, and help manage their performance and evolution alongside our AI team.