E-Commerce Sales Market Analytics

I have a sizeable set of sales transactions exported directly from my e-commerce platform and I need a clear, insight-driven analysis that helps me understand the market forces reflected in those numbers. Your task is to dive into this raw sales data, clean and structure it, then surface trends that answer key market research questions: What products or categories are gaining momentum, which customer segments are buying when and why, and how do seasonal or promotional events shift demand? I would like the final work delivered as: • A cleaned, well-documented dataset (CSV or database table) that I can reuse. • A concise written report highlighting the main findings, supported by visuals. • Interactive dashboards (Tableau, Power BI, or similar) so I can explore the trends myself. • Action-oriented recommendations grounded in the data. Feel free to use Python, R, SQL, or any other analytics stack you prefer, as long as your code is reproducible and clearly commented. Accuracy, clarity, and a storyteller’s approach to the numbers are what matter most—I want to walk away with insights I can trust and act on immediately.