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Fabulous

Behavioral science-based habit-building app

Full Stack Data Analyst

Data Science +1Confirmed live in the last 24 hours
Full-timeRemote in TunisiaNo salary listed

About the Job

Requirements

  • A university degree in Engineering, Computer Science, or Applied Mathematics.
  • At least 4 years of experience across data science, analytics, or analytics engineering; exposure to more than one area is ideal.
  • Excellent SQL skills and experience building data models using dbt or similar tools.
  • Strong engineering fundamentals, including testing, clean code, peer review, continuous integration and continuous delivery, and git workflows.
  • Interest in the future of artificial intelligence, researching emerging developments, and willingness to experiment with new tools.
  • Experience with cloud data warehouses and modern data stack tools.
  • Ability to work independently, take ownership, manage stakeholders, and communicate proactively.
  • Excellent written and verbal English.
  • Comfort working remotely.

Responsibilities

  • Contribute across analytics engineering, applied analytics, and data science projects, including data modeling and transformations, data exploration, dashboard building, and machine learning model building.
  • Build, maintain, and scale analytics pipelines using dbt, with testing, data observability, and architecture that keeps technical debt manageable.
  • Improve analytics pipelines, engineering practices, and project architecture while managing technical debt.
  • Work on business-critical problems with business teams, including improving metric accuracy, exploring growth opportunities, building reporting pipelines, investigating data discrepancies, and applying statistics and machine learning where useful.
  • Take ownership of parts of the codebase over time and become the go-to person for at least one business team.
  • Share knowledge and contribute to practices that support team growth and shape the team's direction, cohesion, and mission.
  • Manage projects and stakeholders autonomously and document work clearly for future collaborators.
  • Use AI tools such as Claude Code to write, review, and ship code, and work on multiple projects in parallel.
  • Help build ways for business stakeholders to interact with data using natural language.

Desired Qualifications

  • Hands-on experience with digital marketing or user acquisition, including attribution, iOS privacy and SKAN, or user acquisition metrics, or with product or growth work such as A/B testing, retention, or monetization.
  • Familiarity with Amplitude, dbt, BigQuery, or Omni.
  • Good analytical and statistical intuition.
  • Prior experience in an agile startup environment.

About the Company

Fabulous

Behavioral science-based habit-building app

1) What it does: Fabulous is a wellness app that helps people build healthy habits and reach personal goals using principles from behavioral science. It serves a broad audience, including people who want self-improvement and those managing ADHD, and it operates on a subscription model with coaching, resources, and on-demand programs. 2) How it works: The app uses scientifically grounded methods to guide habit formation, offering personalized coaching sessions, a library of resources, and 24/7 access to on-demand series. Different subscription tiers give varying levels of access and support. 3) How it’s different: It combines an evidence-based approach with real-time coaching and a structured habit framework, setting it apart from generic self-help apps by delivering tailored coaching and resources built on behavioral science. 4) Goal: Its aim is to help people form lasting habits and achieve their personal goals by providing structured routines, practical guidance, and ongoing support.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Paris, France
Founded
2013

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