I have raw visitor logs and tracking reports from our website analytics platform that capture everything customers do on-site. I want those numbers turned into clear, actionable insight. The focus is purely on customer data—no financial ledgers or market research files—so everything revolves around who visits, how they behave, and what makes them convert. Your task is to pull the data, clean it, run the analysis, and present the findings in a format my non-technical stakeholders can absorb quickly. Python, R, SQL, or any other modern analytics stack is fine as long as the work is reproducible; the source is open-ended (think Google Analytics exports, server logs, or similar CSV/JSON feeds). Key metrics to cover • User engagement • Conversion rates • Traffic sources I’ll provide secure access to the downloads, plus the business context behind our funnels. From there I expect: 1. A concise written report (PDF or Google Doc) summarising trends, anomalies, and opportunities. 2. Visual dashboards or slide deck highlighting the three metrics above, ideally built in Power BI, Tableau, or a similar tool we can update later. 3. The cleaned datasets and annotated code/notebooks so internal devs can replicate results. Accuracy, clarity, and a short turnaround matter more to me than elaborate storytelling—keep the insights sharp and pragmatic so we can act on them next sprint.