Analytics Engineer

About the role

ALOHAS is seeking an Analytics Engineer to shape how the company measures and understands its performance. You will work at the core of a modern data stack built on BigQuery, dbt, and Lightdash, turning raw data into trusted metrics and dashboards that drive business decisions.

Key responsibilities

• Design, build, and maintain data models (facts, dimensions, marts) in dbt across sales, retail, supply chain, marketing, and customer behavior.
• Own the end‑to‑end lifecycle of metrics, from definition to documentation and visualization in Lightdash.
• Collaborate with the Data Engineer on technical implementation and with business stakeholders to translate questions into data solutions.
• Write and maintain SQL and Python code, manage version control with Git/GitHub, and ensure CI/CD pipelines using dbt Cloud.
• Integrate metrics into Claude‑based AI agents and support data ingestion via Airbyte and orchestration with Dagster.

Required profile

• Strong analytical mindset with a passion for turning data into actionable insights.
• Experience working in fast‑paced, startup environments and collaborating across multiple teams.
• Ability to document, test, and expose data models for reliable downstream consumption.

Required skills

• BigQuery
• dbt (Core and Cloud)
• Lightdash
• Airbyte
• Dagster
• SQL
• Python
• Git
• GitHub