As advanced self-serve product analytics platforms like Mixpanel democratize data access, the traditional role of data analysts is evolving from SQL-based data extraction to tackling complex business problems. This shift enables analysts to leverage their statistical acumen and business understanding, focusing on high-value tasks rather than routine data wrangling. The transition requires robust data alignment across platforms to maintain accuracy and user trust, as well as comprehensive data documentation to prevent misunderstandings in self-service environments. Clear boundaries must be set regarding accessible data within these tools, ensuring stakeholders understand when deeper analysis is needed. Technological advancements, including AI, are not a threat but an opportunity for analysts to become strategic partners in product development, allowing them to engage in more impactful work like causal inference studies, which can reveal significant business opportunities. This evolution signifies a more engaging future for product analytics, where analysts are empowered to provide deeper insights and drive product strategy.