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 Brevo

Challenge & Structure Business Questions

Partner with stakeholders and translate ambiguous requests into clear analytical frameworks

Assess impact vs. effort and push back when needed

Build Analytics Infrastructure

Design and optimize complex data models using dbt

Write performant SQL transformations (window functions, CTEs, materialized views)

Ensure data quality through automated tests, anomaly detection, and documentation

Architect AI-Ready Data

Design our data foundation to support AI agents and analytical automation

Define data schemas, feature engineering, and data preparation for AI use cases

Ensure data governance, lineage, and quality standards that AI systems require

Work closely with our AI team to understand their data needs and optimize for their models

Deliver Actionable Insights

Run autonomous analyses that drive strategic decisions

Own projects end-to-end, from definition to delivery

Design & Manage AI Agents

Build AI agents that give our users instant analytics answers - turning support tickets into self-service insights

Design 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 time

Drive Strategic Impact

Proactively surface opportunities, monitor key metrics, and flag important trends to stakeholders

Own your work end-to-end and defend your analyses with confidence

Who you are

5+ 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 warehouse

Comfortable with Git and version control

Experience 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 need

You 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 required

French: appreciated but not required

Senior Full Stack Data Analyst

Ce que l'on attend de toi

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