Analytics Engineer

We're a product-first team on a mission to help grow the cybersecurity culture 🔐

We want to instill cybersecurity good practices to employees in a way that's actually effective, and entertaining enough so that employees don't feel like they're working. Think Duolingo but for cybersecurity.

We created a platform to easily rollout a cybersecurity awareness program: the platform sends chat-based 4-minutes long courses to teams. Following the courses, the other side of the platform simulates phishing attacks, to prepare employees to face hackers, but in a safe environment.

Created in 2020, Riot has raised $45m with leading investors (Y Combinator, Left Lane, Base10, Funders Club and First Capital) and is now protecting more than 2,000,000 employees in over 2,000 companies (including Intercom, Deel, and Deezer) all over the world.

Cybersecurity is everywhere. It's impacting everyone, everyday, and it's becoming the number one risk to any organization, whether it's a small business or a big firm. Yet, the cybersecurity culture in most companies is a disaster. Hackers are leveraging this by targeting the weakest link: the employees. We're on a mission to fix that.

Today, Riot is the employee security company , with products that cover every angle of how employees interact with security:

• Awareness: chat-based cybersecurity courses employees genuinely engage with, plus Studio , which lets security teams build their own custom training in minutes.
• Simulation: realistic phishing, smishing campaigns that train employees in a safe environment.
• Inbox: the AI-powered 24/7 cyber hotline for your security team. Employees report suspicious emails, ask questions about IT/Security, our AI classifies and prioritizes them, and your team responds — fast.
• Sonar: DLP for Google Drive and OneDrive that stops data leaks before they happen. Sonar audits sharing configurations, gives employees clear guidance on what's safe to share with which partners, and delegates everyday decisions to your team while you keep control.
• Slash: email security that catches the attacks your filter misses. Albert alerts employees inside suspicious emails before they click, combines semantic and technical signals to spot sophisticated threats, and instantly removes confirmed threats from every inbox in the company.

• You'll join the Data team as an Analytics Engineer.
• The Data team plays a key role in structuring and making reliable all the data that powers Riot's product, business, and growth decisions.
• You'll work closely with Sales, Marketing, Product, and G&A teams to build an analytics platform that's solid, scalable, and matches Riot's ambitions.
• What you will do 🤝

• Design, build, and maintain data models, processing pipelines, and analytics solutions that are reliable, scalable, and high quality, supporting an analytics platform that keeps growing in scope and complexity.
• Structure and organize the entire analytics codebase, including data models and transformation layers, while setting and enforcing modeling standards and best practices across the team.
• Build clear, well-documented, and easily accessible data assets, working closely with Sales, Marketing, Product, and G&A teams.
• Ensure data quality, reliability, and traceability across analytics pipelines, by putting in place validation processes, automated testing, and proper monitoring.
• Explore, propose, and implement innovative data engineering solutions to tackle Riot's challenges around analytics, performance, and data infrastructure evolution.
• Actively partner with internal stakeholders to understand their analytics needs, translate them into the right technical solutions, and support adoption across teams.

Who you are 🪪

• You're a doer. That's core to Riot's culture.
• 2+ years of experience in data engineering or analytics engineering.
• Strong SQL skills and hands-on experience with a transformation tool like dbt.
• Experience working with a modern data warehouse (Snowflake, BigQuery, Redshift, or similar).
• You know how to set modeling standards and make them stick across a team.
• You genuinely care about data quality and reliability, not just about making data available.
• You're comfortable explaining technical topics to non-technical teams (Sales, Marketing, Product).
• You're a challenger. You don't just execute a request, you understand what's behind it and propose the best way to answer it.
• You're already delegating part of your work to AI agents, not just asking them questions.
• You have full professional proficiency in English and are native in French.
• You're based in Paris or willing to relocate.

It will be a cultural fit if 🫂

• You're a doer: not afraid to get your hands dirty and get things done.
• You have high standards: expect performance to be nothing short of the best.
• You are an enthusiastic at heart: exhibit passion and excitement over work.

Why join us at Riot 💜

• Join a financially-healthy company: we're financially strong and highly capital-efficient. Fundraising fuels our momentum, enabling us to scale faster and unlock new growth opportunities.
• Contribute to a fast-growing startup with a strong vision and high ambitions, backed by clear business goals. We've tripled our revenue over the past two years, and we plan to grow from €20M to €40M ARR in 2026.
• Experience the energy of a collaborative team in our modern and cosy office located in heart of Paris: République / Canal Saint-Martin

Recruitment process 🎙️

• First call with Aurélien, our Lead Analytics Engineer (your future manager) - (45min)
• Take-home case study
• Onsite case study review with your future manager (45min)
• Fit interview with our CTO (30')

At RIOT, we believe that diversity drives innovation and inclusion fosters belonging. We are committed to building a team that reflects a wide range of perspectives, backgrounds, and experiences. We welcome candidates from all walks of life and are dedicated to creating an environment where everyone feels valued, respected, and empowered to thrive.

Please note that this is an on-site position with up to 2 days per weeks of remote work.