The Post-AI Analyst

The role of analysts is evolving rather than disappearing, with the rise of AI reshaping traditional job boundaries and expanding responsibilities beyond mere technical execution to include business context, judgment, and trust. As AI automates many mechanical tasks in analytics, such as querying and documentation, the value of analysts increasingly lies in their ability to understand business dynamics and foster trusted self-service data environments. Analysts are urged to embrace new roles as leaders in AI-assisted analytics, focusing on ensuring data coherence, comparability, and decision-grade quality, while moving beyond titles and traditional boundaries to impact-driven roles. This shift involves collaborating with data and platform teams to design systems that enhance decision quality and organizational leverage, emphasizing the importance of trust in self-service analytics. Companies like Preset exemplify this transition by employing AI specialists who democratize data access while maintaining data integrity, showcasing the potential for analysts to define and operationalize these systems.

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