Senior Analytics Engineer

📋 Description

• Own the Transformation Layer: design, build, and maintain scalable data models using dbt and SQL to
• Set Technical Standards: establish and enforce data modeling, testing, and monitoring best
• Enable Stakeholders: collaborate with finance, operations, customer success, and marketing to
• Integrate and Deliver: create repeatable patterns for BI integration and reverse ETL to ensure
• Ensure Quality: uphold robust change management, source control, and data monitoring as products

🎯 Requirements

• 4+ years in analytics or data engineering with a focus on ELT transformation.
• Proven track record owning data products end-to-end with scalable data models and high data quality.
• Comfort with ambiguity and cross-functional collaboration in a fast-paced environment.
• Experience optimizing data warehouses and ETL/ELT efficiency.
• Technical Versatility: expert SQL and dbt, Python for transformations, SQL/DBT for complex queries
• CI/CD basics and version control (Git); familiarity with cloud environments (GCP or AWS).

🎁 Benefits

• Competitive Salary & Stock Options
• Health Benefits
• New Hire Home-Office Setup: USD 500
• Monthly Stipend: USD 150 via Brex Card