Full Stack Data Analyst

Fabulous; France; On-site; EUR 70,000 - 110,000; Full time

Job summary

Fabulous is seeking a data-focused professional to join a small cross-functional team. You’ll work across Analytics Engineering, Applied Analytics, and Data Science, contributing to analytics pipelines, dashboards, and ML models. The role emphasizes ownership, remote-first work, and collaboration with Product Growth, User Acquisition, and Finance.

You’ll use a modern stack including Fivetran, BigQuery, dbt, Amplitude, and Omni, and report to the Data Lead within the Engineering team.

Qualifications

• University degree in Engineering, Computer Science, or Applied Mathematics.
• 4+ years of experience across data science, analytics, or analytics engineering.
• Excellent SQL skills, with experience building data models using dbt.
• Strong engineering fundamentals: testing, clean code, peer review, CI/CD, git workflows.
• Passionate about AI and exploring new tools.
• Experience with cloud data warehouses and modern data stack tools.
• Self-starter who owns projects, manages stakeholders, and communicates proactively.
• Excellent written and verbal English.
• Comfortable working remotely (remote-first).

Skills

SQL

dbt

Analytics engineering

Data modeling

CI/CD

Git workflows

English proficiency

Remote work

Education

University degree in Engineering/CS/Applied Math

Tools

Amplitude

BigQuery

Omni

dbt

Job description

You'll be part of a small, cross-functional data team that drives impact across Fabulous. We work closely with Product Growth, User Acquisition, and Finance.

We take a full stack approach: every team member contributes across the full data spectrum. We don't specialize into Analytics Engineering or Data Science or Data Analysis. While we each have our own strengths, we contribute to projects across the entire spectrum of data work. This encourages strong ownership and drives impact. Practically, we work across three areas:

• Analytics Engineering: Data modeling and transformations to build, maintain, and scale our analytics pipelines in dbt. Once an MVP is validated, we implement and improve it iteratively - with solid testing, data observability, and architecture that keeps tech debt manageable.
• Applied Analytics: Data exploration, dashboard building in Omni, and ML model building. We aim for simplicity and interpretability but don't shy away from complexity when we face it. We work with highly data literate stakeholders - when building new models or dashboards we empower our users to continue to analyze the data themselves.
• Data Science: ML model building to make predictions to inform the business quickly.

Our stack: **Fivetran · BigQuery · dbt · Amplitude · Omni**

This role is critical to the team's continued success:

• Diverse, high-impact projects. You'll work on business-critical problems in close collaboration with business teams - improving metric accuracy, exploring new growth perspectives, building well-tested reporting pipelines, investigating data discrepancies, or applying statistics and ML where they add real value.
• Building and maintaining our codebase. You'll contribute to solid analytics pipelines using SQL and dbt. Managing tech debt, improving engineering practices, and shaping the project's architecture are core to this role.
• Growing into ownership. Over time, you'll own parts of the codebase, become the go-to person for at least one business team, and have a strong voice in how the analytics project evolves.
• Leveling up the team. Share knowledge, and contribute to practices that help everyone grow. Speak up - we want you to shape the team's direction, cohesion, and mission.
• Working autonomously. You'll manage your own projects and stakeholders. Clear, concise documentation is expected so future collaborators can build on your work.

We embrace the age of AI. We use tools like Claude Code daily to write, review and ship code faster, while focusing our time on problem solving multiple projects in parallel. We are building out multiple entry points for our business stakeholders to interact with our data in natural language and believe this is the future of data work.

You'll report to the Data Lead and be part of the Engineering team.

Required:

• University degree in Engineering, Computer Science, or Applied Mathematics
• 4+ years of experience across data science, analytics, or analytics engineering - ideally with exposure to more than one of these
• Excellent SQL skills, with experience building data models using dbt (or similar tools)
• Strong engineering fundamentals: testing, clean code, peer review, CI/CD, git workflows
• Passionate about the future of AI, researches the cutting edge, not afraid to experiment with new tools
• Experience with cloud data warehouses and modern data stack tools
• Self-starter who takes ownership, manages stakeholders, and communicates proactively
• Excellent written and verbal English
• Comfortable working remotely (we're remote-first)

Great to have:

• Hands-on experience with Digital Marketing / User Acquisition (attribution, iOS privacy & SKAN, UA metrics) or Product / Growth (A/B testing, retention, monetization)
• Familiarity with our stack (Amplitude, dbt, BigQuery, Omni)
• Good analytical and statistical intuition
• Prior experience in an agile startup environment

If you're excited about this role but don't check every box, we'd still love to hear from you. We value curiosity and growth mindset over a perfect resume.

About Us

An award-winning health, wellness, & coaching company that creates apps which fall the top ten internationally. Our science-based approach sits squarely in the tech-for-good lane, helping people live their best lives. Everyone who has joined this company is committed to using evidence-based research to find the absolute best ways to change lives for the better.

Our History

Three co-founders created the Fabulous app: Sami, Amine, and Taylor. Growing up in Tunisia, Sami and Amine were only 16 when they met. With their early iteration, they reached out to Taylor, an award-winning designer in Malaysia. Their vision was welcomed into an incubation lab for startups at Duke University led by world-renowned Behavioral Economics Professor Dan Ariely. Our Chief Storyteller Jaz co-founded the Introductory Psychology program at Stanford University.

Our Approach

We use a behavioral economics lens to help individuals find that 'on switch' inside them to achieve their fullest potential. What has emerged is a system that transforms tiny habits into profound long-term changes. A world in which people with ADHD thrive. A method for gratitude to reach through difficulty. A sanctuary to seek out your true purpose. A fountain of knowledge. A space for rest and self compassion.

Our Mission

Help every individual discover the wonderful person inside themselves by creating: beautiful, evidence-based, life-changing products.

Our Environment

The first thing that sets us apart is that we're not a place at all. While we're a remote company, it's not unusual to feel you know your teammates better than those