Generative AI tools like Chat GPT have shifted who gets to participate in data analysis and how. Opportunities exist for large language models (LLMs) to support tasks like code writing for data cleaning and exploration. This has potential to make it easier to engage with data, particularly for those that lack formal technical skills or have limited technical support. In this talk, I reflect on how LLMs have changed my own workflow by streamlining analysis and lowering barriers to iterating and exploring. I also pose questions around who gets to be considered a data analyst now, and what skills or literacies may matter most.