You will identify opportunities for AI agents and build, test, and deploy them for internal and customer-facing use cases. This involves connecting agents to company data and tools while evaluating their impact, reliability, and security.
The analyst will explore business data using SQL and Python to identify trends and automate recurring tasks. They will also build analytical dashboards in Tableau and prepare reports for management to support business decision-making.
Develop and maintain backend services, APIs, and data workflows to support news-driven product functionality. Collaborate with cross-functional teams to design scalable solutions and ensure high performance and reliability in production environments.
Students will research real business challenges, analyze market data, and develop recommendations for company leadership. They will also help shape AI-powered products and business strategies within a collaborative lab environment.