• Own, maintain, and improve core data systems including dbt, Stitch, and the BigQuery data warehouse sourced from NoSQL datasets (e.g., Firestore). • Develop reliable, well-documented data models, transformations, and ELT pipelines supporting revenue, operational, and financial reporting. • Implement and maintain data quality and observability frameworks, including dbt tests, schema-change monitoring, and pipeline alerts. • Be the BigQuery expert to apply version control, documentation, naming conventions, and workflow best practices for long-term maintainability. • Build, maintain, and optimize Google Looker Studio dashboards, ensuring accuracy and usability. • Perform ongoing dashboard maintenance, enhancements, and metric updates as business needs evolve. • Build and maintain recurring operational reports, including those used for enterprise customer audits and sales pipelines. • Partner closely with Finance, Operations, and Customer-facing teams to translate business needs into actionable analytics and data workflows.