Design, develop, and maintain interactive dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to enable real-time visibility into key business metrics. Extract, clean, transform, and model large, complex datasets from diverse sources using SQL, Python, and other data processing tools. Apply statistical analysis and machine learning techniques to build predictive models for forecasting, customer segmentation, and operational optimization. Collaborate with stakeholders across departments to understand business needs and translate them into data solutions and KPIs. Automate data pipelines and workflows to improve data accuracy, reduce manual effort, and ensure timely delivery of insights. Conduct A/B testing and experimental design to evaluate product changes and marketing initiatives. Communicate findings clearly and effectively to technical and non-technical audiences through presentations, reports, and visual storytelling. Stay current with emerging trends in data s...