Educational data scientists face ethical conundrums when working with student data. They must determine how to properly measure, collect, analyze and report learning analytics and demographics for understanding and optimizing learning, while also protecting student privacy and gaining staff support. Key questions include what data to focus on, whether and how to use the data they have access to, if learning analytics approaches actually work, and how to address concerns of teachers and other staff.