#Data Preparation and Cleaning Gather and organize data from various internal systems (spreadsheets, databases, APIs, etc.). Clean and validate datasets to ensure accuracy and consistency. #Data Analysis and Reporting Analyze business performance metrics and financial indicators. Identify inefficiencies, cost leakages, and potential revenue growth areas. Create automated dashboards and KPI reports using Excel, Power BI, or Python. #Insights and Recommendations Present findings in a clear, visual, and actionable way. Provide recommendations to support business and operational decisions.