Data Analyst

About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

We are a dynamic, collaborative team passionate about AI and its potential to transform society.

Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on

Role summary

Join our Data team in Paris as a Data Analyst and play a pivotal role in shaping the analytics and tracking of our cutting-edge AI products. You'll specialize in events, tracking, and analytics, leveraging advanced techniques to automate queries and uncover creative use cases for our AI capabilities.

This role is ideal for someone who thrives in a dynamic environment, enjoys building robust data pipelines, and wants to influence our product roadmap directly.

You'll work closely with engineers and product teams to centralize data, develop analytics for Mistral Code and AI Studio, and drive innovation by exploring new ways to use AI internally. If you're passionate about data, curious about AI, and eager to make an impact, this is the role for you.

What you will do

• Build and maintain data pipelines to
• ensure high-quality, ML-ready data
• Design and implement event tracking in collaboration with engineers
• Run in-depth analyses on our AI products to guide decision-making and product development
• Automate queries triggered from Le Chat (a key product feature) to streamline analytics
• Centralize and organize Salesforce data to improve monitoring and reporting
• Discover new use cases for AI, nurturing both the product roadmap and internal innovation
• Develop analytics for Mistral Vibe and AI Studio, two of our flagship products
• Collaborate with a global team to build a network of engineers and stakeholders

About You
Must-have:

• 2+ years of experience as a Data Analyst
• Proficiency in SQL and Python
• A product mindset and a passion for AI
• Creative, curious, and innovative—you love exploring new ways to use data
• Low-ego and a team player, eager to collaborate across functions
• AI early adopter—you stay ahead of trends and love experimenting with new tools

Nice-to-have:

• Experience with causal inference or machine learning
• Familiarity with DBT or similar tools

Hiring process

• Recruiter's screening - 30 minutes
• Hiring Manager Interview - 30 minutes
• Live-coding interview - 45 minutes
• Take home + review
• Culture fit interview

Location & Remote

The position is based in our Paris HQ offices and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours.

What we offer

Competitive salary and equity package

Health insurance

Transportation allowance

Sport allowance

Meal vouchers

Private pension plan

Generous parental leave policy

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.