Overview
In this Analytics Engineer role, you will shape how ALOHAS measures performance, from defining metrics to delivering trusted dashboards and AI-ready data. You’ll work at the center of our data stack with BigQuery, dbt, and Lightdash, partnering with a Data Engineer and cross-functional teams. You own end-to-end questions, ensuring metrics are well-defined, documented, and accessible. This is a hands-on, builder role at a growing fashion-focused company committed to sustainable practices.

Compensaciones / Beneficios
- Culture of Freedom, Responsibility & Trust
- Flexible Working Hours
- Hybrid Work Model
- Summer Hours
- Mental Health Support
- Team wellbeing initiatives and disconnect days

Responsabilidades
- Build trusted data models in dbt (facts, dimensions, curated marts) used by multiple teams
- Translate business questions into clean models across sales, retail, supply chain, marketing, inventory, and customer behavior
- Write tests, documentation, and exposures to ensure data trust
- Adhere to dbt conventions to maintain scalable,



consistent data architecture
- Own canonical metric definitions across the business and maintain semantic layer in Lightdash
- Collaborate with stakeholders to align metrics with vigente operations
- Design and own Lightdash explorations and dashboards for self-serve governance
- Ensure metrics/models are canonical sources of truth for downstream AI agents and dashboards
- Contribute to the team by sharing knowledge, reviewing work, and helping others

Requisitos principales
- Hands-on SQL + dbt experience with modular models, tests, docs, and macros
- Strong understanding of business/financial metrics across commercial, unit economics, marketing, retention, and operations
- Experience with a modern data warehouse (BigQuery preferred; Snowflake/Redshift/Databricks acceptable) and cost/performance-aware querying
- Data quality discipline including freshness, tests beyond not_null, anomaly detection, and documentation
- Expe

📌 Analytics Engineer (Barcelona)
🏢 ALOHAS
📍 Barcelona