Evaluate and apply technical approaches and tools - including Python, SQL, R, Power BI, artificial intelligence (AI), machine learning, large language models (LLMs), natural language processing, automation, and related emerging technologies - to improve analysis, repeatability, and delivery quality. Independently execute a broad range of technical assignments and may lead project tasks, workstreams, simple projects, or small teams spanning data analytics, data science, business intelligence, artificial intelligence, systems engineering, automation, and digital modernization.