Analytics Engineering Intern (x/f/m)

We are looking for an Analytics Engineer Intern to join the Analytics Engineering team in Data & Analytics.

As an Analytics Engineer Intern, your mission will be to work on building, maintaining, and evolving data products that provide insights and support decision-making across Doctolib. You will be working in a feature team developing data solutions that transform access to healthcare.

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

Your responsibilities include but are not limited to:

Build, maintain, and evolve data products that provide insights and support decision-making across Doctolib

Collaborate with stakeholders to understand their data needs and explore data to validate business rules

Define specifications and develop them while communicating with stakeholders to ensure alignment

Monitor the product through testing and measurement, ensuring continuous improvement

Define and implement high level reporting including KPI definitions and dashboard creation and maintenance

About our tech environment

Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements.

Our data stack is composed of Dagster, DBT, Google Cloud Platform (Big query…),

We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!

Who you are

Before you read on — if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You could be our next teammate if you:

You are available for a 6-month internship starting

You have strong SQL skills and understand data modeling fundamentals

You have strong Python skills in the context of data engineering

You can communicate clearly in both English and French (written and spoken)

You're organized, proactive, and comfortable working cross-functionally with non-technical stakeholders

Now, it would be fantastic if you have:

Experience with a data visualization tool (Tableau, Looker, Power BI, or similar)

Familiarity with modern data transformation tools (DBT…)

Understanding of orchestration concepts (DAGs, scheduling, data pipelines)

Previous exposure to analytics engineering or data analytics through coursework, projects, or internships

What makes you a great fit:

You enjoy turning ambiguous business questions into clear data solutions

You care about code quality, documentation, and making your work understandable to others

You're curious about how data influences product decisions

You're eager to learn and grow in a fast-paced, collaborative environment