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
What we offer
- Meal vouchers worth €8.50 per day, with €4.50 covered by Doctolib
- A 3‑month onboarding program including the Doctolib Academy and various trainings (languages, soft skills, technical skills)
- A works council subsidy for partial reimbursement of memberships to sports or leisure activities
- 50% reimbursement of your public transportation subscription costs
The interview process
- HR Interview with our Talent Partner (30 minutes)
- Technical interview with our Analytics Engineer (60 minutes)
Job details
- Internship
- Full-time
- Levallois-Perret
- Start date: April 2026
If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!
At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.
The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.
To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.
Join us in building the healthcare we all dream of!
All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.