Remote Full-Stack Data Analyst: Analytics, ML & Growth

Fabulous

France

À distance

EUR 70 000 - 110 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

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).

Connaissances

SQL
dbt
Analytics engineering
Data modeling
CI/CD
Git workflows
English proficiency
Remote work

Formation

University degree in Engineering/CS/Applied Math

Outils

Amplitude
BigQuery
Omni
dbt

Description du poste

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.

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