Impactful Data Full-Stack Engineer
Alan is building a vertically integrated health partner that unites insurance and smart healthcare delivery into one seamless system. Our vision is to make prevention the new norm of care for all.
Mission
Help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost centre into their most valuable investment. By connecting all aspects of care (private, public, and direct to consumer) we create the most member‑centric healthcare experience, reducing claims costs while generating new monetization opportunities.
We partner with tens of thousands of companies across France, Spain, Belgium, and Canada, serving over a million members.
Leadership Principles
- Mission is the Boss – We think long‑term and are methodical optimists who take risks, seeking our mission's success above all else.
- Distributed Ownership – Accountable enlightened despots: everyone owns their decisions and results.
- Radical Transparency – All information is accessible and written‑first, so everyone can make the best decisions asynchronously.
- Always Growing – Direct, positive, and caring feedback, combined with self‑growth ownership.
Data Team
- Being part of Alan's data team means you'll have a positive impact on people's health and wellbeing.
Our Focus
- We create insights to help our colleagues focus on what is most impactful.
- We build features and tools powered by data that directly help our members.
- Examples include:
- going deep into health consumption patterns
- understanding our product usage
- creating visibility to help our sales team perform
- automating how we reimburse our members
- building products that help our members stay healthy
Full‑Stack Approach
- Each one of us contributes to all 3 aspects of the data spectrum (analytics, engineering, science). This encourages strong ownership and drives impact.
- We own our infrastructure. We pride ourselves on a nimble data stack that gives us the flexibility we need. We're mainly using SQL, Python, R, Airflow, Snowflake, and Metabase.
- We build in‑house tooling to organise our data and serve it to the rest of the company.
Expected Skills And Abilities
- Passionate about owning ambitious problems and developing simple solutions for them
- Demonstrated impact during a first successful experience
- Experience or willingness to grow in all 3 aspects of the data spectrum (analytics, engineering, science) – being specialised in one is also good
- Proficient in SQL, Python and/or R; setting a high standard of rigor and precision for yourself, interested in your craft
- Great listening and communication skills
- Humble, kind, collaborative, and still willing to grow (no matter your seniority)
- Fluent and clear in English, both oral and written (no need to speak French)
Important Note
We hire people, not roles. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Research shows women often apply only when meeting 100% of requirements.
Remember, this is just a guide, not a checklist.
Perks & Benefits
- Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high‑quality time with co‑workers.
- A strong culture – People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work.
Quick Note about the Process
While you are applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here.
#J-18808-Ljbffr