What You Will Do Discover & Prototype AI Use Cases: Identify and document practical AI applications within the team's daily workflows (SQL, Looker, Google Suite). Translate these workflows into actionable AI opportunities using the AI enterprise suite. Architecture & Workflow Review: Review existing reporting and adjacent data architecture with the goal of producing specific and actionable recommendations to further AI adoption. Data Structure & Quality Assessment: Review analytics tables, data models, and end-to-end data workflows. Evaluate data quality, structure, and transformation logic, and identify opportunities to improve reliability, scalability, and readiness for AI-driven use cases. Team Education & Enablement: Serve as an AI champion for the analytics team. Guide BSA analysts on how to securely and effectively prompt, leverage, and integrate enterprise AI tools for data preparation, automation, and root-cause analysis. Documentation & Roadmapping: Document the current state of TRR technology and provide a strategic roadmap with recommendations for future AI improvements. Showcase Impact: Present your project findings, successful AI workflow prototypes, and overall business value to stakeholders at the conclusion of the internship 3.
Expected Business Outcomes A comprehensive map of viable AI use cases tailored to our current analytics tech stack. Proof-of-concept workflows demonstrating how to automate data preparation and trigger real-time causal anomaly alerts using out-of-the-box enterprise AI tools. An upskilled analytics team equipped with best practices, prompt templates, and the foundational knowledge needed to embrace AI-driven data analysis.
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