Overview

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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 actual 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

📌 Analytics Engineer (Barcelona)
🏢 Jobrapido
📍 Barcelona