Gather data from various sources including databases, APIs, spreadsheets, and more. Clean and transform the data to ensure its quality and compatibility. Perform exploratory data analysis to understand patterns, trends, and anomalies in the data. Apply statistical models and do data visualisation to extract insights. Create and maintain dashboards, reports, and visualizations to present data-driven insights to stakeholders. Identify and address data quality issues, missing values, and outliers. Design and conduct experiments to test hypotheses and evaluate the impact of changes or interventions. Build and deploy predictive models to answer business questions and solve problems. Work closely with cross-functional teams to understand business requirements and provide data-driven recommendations. Effectively communicate findings to both technical and non-technical stakeholders.