I need a sharp-eyed data analyst to take a raw spreadsheet export and turn it into clear, actionable insights. The project is strictly data analysis—no website, mobile, or graphic work—so please come prepared with your preferred toolkit (Python / Pandas, R, SQL, Power BI, Tableau, or similar). What I’ll hand over • A structured but un-cleaned CSV (rows ≈ 25 k, mixed numeric & categorical fields) • Brief context notes explaining the business questions behind the numbers What I expect back • A cleaned dataset with documented transformation steps • Summary statistics and visualisations that spotlight trends, outliers, and correlations • A concise slide deck or PDF explaining key findings, practical implications, and next-step recommendations • All reproducible code or notebook files Acceptance criteria 1. Every step from raw import to final chart is reproducible on my machine. 2. Visuals are labelled clearly and answer the original business questions. 3. Insights are backed by at least one quantitative metric (e.g., delta %, correlation coefficient, confidence interval). If this sounds like your wheelhouse, tell me which tools you’ll use and your estimated turnaround time.