Analyze SQL Sales Trends

I have a well-structured sales dataset sitting in an SQL database and I need clear, actionable insight into how our sales have trended over time. You’ll connect directly to the database, query the relevant tables, and turn the raw figures into a concise story that highlights peaks, dips, and seasonality. Please outline the approach you’ll take for extracting, cleaning, and visualising the data, along with the statistical or BI tools you prefer (Python-pandas, Power BI, Tableau, etc.). Final deliverables should include: • A reproducible query or script that pulls the data • Interactive or static visualisations of the time-based trends • A brief write-up (PDF or slide deck) interpreting the findings and suggesting next steps Accuracy, transparency in methodology, and clear commentary in any code are essential so I can rerun the analysis as new data arrives.