Data Analyst

📋 Description

• Build and maintain core data models — dimension and fact tables — that serve as the base layer for
• Collaborate closely with Product, Software Engineering and Data Engineering throughout the product
• Translate approved business definitions and KPIs into the semantic layer, building
• Safeguard data health by building automated data tests and conducting logic/data integrity audits
• Support lineage and discovery documentation, mapping how data flows from source systems to business
• Build the technical foundation for AI-driven self-service analytics and help drive its adoption —

🎯 Requirements

• 2+ years of hands-on experience in analytics engineering, data engineering, or data
• Strong hands-on SQL skills, with proven experience in dimensional modeling and semantic layer
• Hands-on experience with dbt (or similar) for version-controlled, tested data transformation on a
• Skilled in building automated data quality tests, conducting logic integrity audits, and managing
• Ability to break down ambiguous business problems and connect them to the right data, models, and
• Comfortable collaborating with Software Engineers, Data Engineers, and departmental analysts on

🎁 Benefits

• Be part of a mission-driven company at the forefront of AI in logistics, reinventing digital supply
• Work with a hard-working team that prioritizes people, values efficient systems, and fosters swift
• Embrace diverse perspectives to drive solutions collaboratively within a supportive team culture.