• Work with cross-functional teams such as Sales, Marketing, Product, Engineering, and Operations to provide actionable insights on consumer behavior, advertising channel mix, and digital transactions/sales through data analytics, pre/post analysis, and statistical methods. • Partner with business leaders to identify and define key reporting and analysis metrics to inform the business' KPI framework. • Create standard and evolving reporting, analysis, and forecasting capabilities to support client optimization strategies and inform business decisioning. • Mine data from a variety of data sources and platforms (relational, NoSQL, data lakes, cloud warehouses) to surface strategies that improve ROI and program performance. • Develop and implement data validation frameworks to ensure accuracy, consistency, and reliability of analytical outputs—including cross-referencing source systems, identifying data drift, and reconciling discrepancies. • Apply statistical techniques (hypothesis testing, regression analysis, confidence intervals, anomaly detection) to validate findings, quantify uncertainty, and distinguish meaningful patterns from noise. • Leverage BI tools with AI capabilities to assist in generation of reports, dashboards, and stakeholder presentations. • Present directly to stakeholders, developing and articulating analytical concepts and summarized findings through cohesive narratives and compelling visual storytelling. • Collaborate with different departments and define requirements to improve our analytics suite. • Champion a healthy team culture and mentor team members.