Full Stack Data Analyst

About the role

You will join a small, cross‑functional data team at Fabulous, collaborating closely with Product Growth, User Acquisition, and Finance. The team takes a full‑stack approach, meaning you will work across analytics engineering, applied analytics, and data science to deliver high‑impact projects.

Key responsibilities

• Design, build, and maintain analytics pipelines using dbt, BigQuery and Fivetran.
• Develop dashboards in Omni and explore data to generate actionable insights.
• Build and iterate on ML models to support business decision‑making.
• Manage technical debt, improve engineering practices, and shape pipeline architecture.
• Own parts of the codebase, become the go‑to expert for at least one business team, and mentor teammates.
• Document work clearly and communicate autonomously with stakeholders.

Required profile

• University degree in Engineering, Computer Science, Applied Mathematics or a related field.
• 4+ years of experience in data science, analytics, or analytics engineering, with exposure to multiple disciplines.

Required skills

• SQL
• dbt
• BigQuery
• Fivetran
• Amplitude
• Omni
• Machine learning (model building)

What we offer

• Opportunity to work on business‑critical problems with high ownership.
• Access to AI‑assisted coding tools such as Claude Code.
• Collaborative environment that encourages knowledge sharing and team growth.