• Investigate and resolve issues in revenue analytics, such as discrepancies in dashboards, KPIs, and pipeline metrics. • Audit and streamline data flows across various business systems (CRM, data warehouses, BI tools). • Create and manage lean, sustainable data models that support analytics and decision-making. • Collaborate closely with RevOps, Marketing, Sales, Customer Success, Product, and Finance teams to align and standardize data definitions and metrics. • Convert strategic business questions into structured analytical approaches. • Develop concise visuals and metrics that clearly explain complex data insights to executive stakeholders. • Proactively propose and implement robust solutions to systemic data and analytical issues, prioritizing long-term fixes over temporary patches.