Full Stack Data Analyst

Job Summary

Working remotely, the full-time salaried Full Stack Data Analyst will engage in diverse, high-impact projects across analytics engineering, applied analytics, and data science, contributing to the development of analytics pipelines, dashboards, and ML models while collaborating closely with business teams.

Key responsibilities

• Build and maintain analytics pipelines using SQL and dbt, managing technical debt and improving engineering practices
• Collaborate with cross-functional teams to explore data, build dashboards, and develop ML models that inform business decisions
• Share knowledge and contribute to team growth, taking ownership of projects and managing stakeholder relationships

Required qualifications

• University degree in Engineering, Computer Science, or Applied Mathematics
• 4+ years of experience in data science, analytics, or analytics engineering
• Excellent SQL skills with experience in data modeling using dbt or similar tools
• Strong engineering fundamentals, including testing, clean code, and CI/CD practices
• Experience with cloud data warehouses and modern data stack tools