Excel & Python Data Analysis for Sales and Operations Reporting We are looking for a skilled data analyst to help analyze and automate reporting using a combination of Excel and Python. The project involves working with multiple datasets related to sales transactions, inventory levels, and operational performance. Data is currently maintained in Excel files with varying formats and needs to be cleaned, standardized, and analyzed for insights. The selected freelancer will be responsible for consolidating raw Excel data, performing data cleaning and validation, and building Python-based analysis scripts to calculate KPIs such as revenue trends, inventory turnover, order fulfillment rates, and cost variations. The final output should include well-structured Excel reports and optional visual summaries generated via Python. Key Requirements: Strong experience with Excel (advanced formulas, pivot tables, data validation) and Python (Pandas, NumPy, Matplotlib or similar). Ability to handle messy datasets, automate repetitive analysis, and ensure data accuracy. Deliverables: Cleaned datasets, analysis scripts, summary reports, and clear documentation explaining the workflow. This project is ideal for someone who enjoys turning raw data into actionable insights efficiently.