Show that you think about who could be harmed by your analysis, not just who benefits from it.
Look for awareness of: GDPR/data protection regulations, anonymisation techniques, potential for bias in data and algorithms, responsible use of personal data, and the line between insight and surveillance. Best candidates have practical examples of ethical decisions they have made.
Increasingly important in data roles. Candidates who dismiss privacy concerns or have never considered bias in their data are a risk. Look for thoughtful engagement with these issues.