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Data Full Stack

Build data-powered features that help members stay healthy

As part of Alan's data team, you will build features and tools powered by data that directly help members. You will contribute to analytics, engineering, and science aspects of the data spectrum, owning infrastructure using SQL, Python, R, Airflow, Snowflake, and Metabase. The role involves creating visibility for sales performance, automating member reimbursements, and understanding health consumption patterns to drive impact.

Why This Role?

Direct impact on members' health and wellbeing through data-powered tools

Key Responsibilities

  • Build data-powered features and tools that directly help members stay healthy
  • Analyze health consumption patterns and product usage to generate insights
  • Create visibility and reporting tools to help the sales team perform better
  • Automate member reimbursement processes using data engineering
  • Develop in-house tooling to organize and serve data across the company
  • Contribute to all three aspects of the data spectrum: analytics, engineering, and science

Requirements

  • Experience with SQL, Python, R, Airflow, Snowflake, or Metabase
  • Demonstrated impact from a first successful experience in a data-related role
  • Passion for owning ambitious problems and developing simple solutions
  • Willingness to grow in a full stack data role covering analytics, engineering, and science

Required Skills

sqlpythondata analyticsdata engineeringdata scienceAnalyticsProblem SolvingFull Stack Data

Indonesia Context

Working Hours Overlap:
Flexible — work your own hours
See remote (USD) vs local pay →

Keywords

data full stackhealthcare dataSQL Pythondata toolsmember healthprevention insurance
View Original Description from Ashby Job Boards

Original description from Ashby Job Boards

HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 800+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE DATA TEAM - Being part of Alan's data team means you'll have a positive impact on people's health and wellbeing. - 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...  We also believe in having a 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 organize our data and serve it to the rest of the company. 🎯 EXPECTED SKILLS AND ABILITIES You would thrive at Alan if most of this sounds like you: - 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 specialized in one of these areas is good too! - 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!) For this role we are looking to hire within the C1-E level range https://alan.com/en/careers/a/salary-equity. ⚙️ 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: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: 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 https://alan.com/en/about/a/leadership-principles: 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 🔄 A quick note about the process Note: While you're 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 https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21.

Salary Context

Similar Data & Analytics roles on LokerDollar pay around $111.962k/yr (range $26.292k–999.999k/yr, n=64 active listings).

Hiring at Alan

Alan has 13 other active roles on LokerDollar and has been hiring here since Mar 16, 2026 — across Data & Analytics, Operations, Engineering, Marketing.

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Remote-friendly · fits your timezone
Company
Alan
Source
Ashby Job Boards
Job Type
full time
Location
Remote
Seniority
mid
Posted
Jun 16, 2026

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Frequently asked questions

Is Data Full Stack at Alan a remote job?
This role is based in Remote. See the listing for remote/onsite details.
What type of employment is Data Full Stack at Alan?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at Alan.

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