Analyze datasets to identify trends, uncover key performance drivers, and generate actionable insights. Collaborate with data engineering teams to improve and streamline data pipelines. Conduct statistical analysis to test hypotheses and validate findings. Apply statistical modeling techniques to solve business problems and improve decision-making processes. Translate complex data problems into clear solutions and communicate insights to stakeholders. Develop and enhance self-service capabilities to empower non-analytics stakeholders to access, understand, and explore data independently. Experiment with innovative approaches—such as AI-driven tools—to enhance speed and scale in analytics. Collaborate with cross-functional teams, including product, engineering, and marketing, to align analytics efforts with organizational goals.