• Translate marketing analytics and survey data requirements into scalable data models, automated pipelines, and reporting solutions • Design and develop data warehouses, dashboards, and analytical frameworks to support marketing programs and campaign performance measurement • Build and optimize ETL processes integrating structured and unstructured data sources • Solve complex data integration challenges using advanced SQL techniques and data engineering best practices • Collaborate with data engineers, data scientists, and marketers to define data requirements and present insights clearly and effectively • Conceptualize and evaluate large-scale data architectures, balancing performance, scalability, and operational efficiency • Implement and maintain data security and privacy safeguards, ensuring compliance and resolving data quality issues