Enhance our analytics capabilities as an Analytics Engineer focused on data quality and pipeline optimization. Collaborate to ensure accurate data for our analytics and science teams.

In this full-time role with a hybrid work model, you will develop data transformation layers and implement quality checks to maintain data integrity. With a background in analytics engineering, you will identify opportunities for tool recommendations and enhancements in our data infrastructure. The goal is to support reliable data access for cross-functional teams.

Key Responsibilities:
• Create and improve data transformation pipelines using dbt
• Implement measures to ensure data accuracy and completeness
• Optimize data processes for enhanced performance
• Identify and troubleshoot data pipeline issues efficiently
• Develop detailed documentation for data processes and models

Requirements:
• Bachelor’s degree in relevant field