• Assist in gathering, cleaning, and transforming raw data from different sources (e.g., databases, APIs, spreadsheets). • Perform data wrangling tasks to ensure data quality and consistency. • Analyze datasets to identify patterns, trends, and insights. • Create basic data visualizations (e.g., charts, graphs) using tools like Power BI, Qlik, and other leading tools. • Help develop, test, and refine data models or reporting applications for predictive analytics or business intelligence. • Assist with creating and maintaining data pipelines, ensuring they are running efficiently. • Support the creation of detailed project documentation, including technical specifications, methodologies, and workflows. • Develop and test data workflows to transform, clean, and structure data for consumption