Les missions du poste
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.Your impact at BrevoChallenge & Structure Business QuestionsPartner with stakeholders and translate ambiguous requests into clear analytical frameworksAssess impact vs. effort and push back when neededBuild Analytics InfrastructureDesign and optimize complex data models using dbtWrite performant SQL transformations (window functions, CTEs, materialized views)Ensure data quality through automated tests, anomaly detection, and documentationArchitect AI-Ready DataDesign our data foundation to support AI agents and analytical automationDefine data schemas, feature engineering, and data preparation for AI use casesEnsure data governance, lineage, and quality standards that AI systems requireWork closely with our AI team to understand their data needs and optimize for their modelsDeliver Actionable InsightsRun autonomous analyses that drive strategic decisionsOwn projects end-to-end, from definition to deliveryDesign & Manage AI AgentsBuild AI agents that give our users instant analytics answers - turning support tickets into self-service insightsDesign agents for analytical use cases and operational tasks: help users explore their own data, automate the low-value-add requests that eat up our team's timeDrive Strategic ImpactProactively surface opportunities, monitor key metrics, and flag important trends to stakeholdersOwn your work end-to-end and defend your analyses with confidenceWho you are5+ years exp in data analytics or analytics engineering, ideally in a SaaS/scale-up environment (you understand growth metrics and business dynamics)Expert-level SQL: you write complex queries naturally (window functions, CTEs, query optimization)Solid experience with dbt and BigQuery or equivalent modern data warehouseComfortable with Git and version controlExperience with data visualization tools (Omni analytics, Metabase, Looker, Tableau, or similar)AI Curious (important): you actively follow AI/ML trends, experiment with tools, understand how AI agents work and what data they needYou are rigorous, autonomous, and able to communicate complex topics simply to any audience - executives, engineers, or analysts.You are humble and confident: you say "I don't know" and you say "no", both when it matters.Nice to have!Python for advanced analysis or automation is a plus, not requiredFrench: appreciated but not requiredWhat we offer!A place to grow, together :Join an international team in a bright, collaborative office located in a vibrant neighborhood.Practical perks for everyday balance:RTT days off, 50% public transport reimbursement, Sustainable Mobility Package (whether you ride a classic bike or go electric, we support your choice to commute greener) and daily Swile meal vouchers (€.Learning, every step of the way:Access to English classes and 155,000+ courses on Udemy, plus a strong internal culture of knowledge-sharing and support.Flexible for life :A remote-friendly setup, budget to support your home workspace, and relocation assistance for international talents.Wellbeing that works :Top-notch private healthcare (70% covered), 6-week second-parent leave, extra time off if your child is sick and needs you, and Several services related to prevention, health and personal and professional well-being on Welii platformA culture that cares :From inter-office trips to regular team events, there are plenty of ways to connect beyond your day-to-day. You'll also find active social, green, and LGBTQIA+ communities, plus Work Council benefits via Leeto, all here to support what matters to you, inside and outside of work.Our candidate journey Introductory TA call (30 min)Interview with our Head of Analytics (45 min)Use caseFinal interview with our Chief Data & AI Officer (1 hour)Whoever you are, wherever you're from, if this role speaks to you, we'd love to hear from you.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.