Manage small technical projects and lead non-technical aspects of data products: requirements, scheduling, reporting, dashboards, and ad-hoc analysis. Produce client-ready presentations and reports, ensure data quality, improve team efficiency through technology (including AI), and communicate findings to internal and client audiences.

Lead design and implementation of digital analytics strategies and tag management for websites and apps, automate data collection/reporting, manage data warehouses, integrate AI, deliver visualizations and storytelling, drive analytics governance and best practices, and present insights to clients and stakeholders.

As a Data and AI Marketing Intern, you'll support automated marketing campaigns, using SQL and Python for data handling and analysis, and gain expertise in marketing automation and data analytics.