• Collaborate with data engineering, analytics, product, and marketing teams to design and implement reliable, scalable data models and transformation pipelines. • Develop and maintain dbt models, macros, and documentation that ensure data accuracy, reusability, and clarity across the organization. • Partner with business stakeholders to translate analytical needs into well-structured datasets that support reporting and self-service analytics. • Support and uphold best practices for data modeling, testing, version control, and documentation across analytics workflows. • Proactively identify and address issues in data quality, model performance, and pipeline efficiency. • Contribute to the standardization of metrics, definitions, and semantic layers to ensure consistent reporting across business units. • Participate in code reviews and knowledge-sharing to continuously improve team processes and data craftsmanship. • Stay current with modern data tools, frameworks, and best practices to help evolve our analytics engineering stack.