I have a collection of sales figures sitting in several Excel/CSV files and I need clear, actionable insights from them. My main goal is to spot meaningful trends—seasonal patterns, regional differences, product-level movements, and any unexpected spikes or dips that deserve attention. Here’s what I’d like from you: • Clean and consolidate the Excel/CSV files so the dataset is analysis-ready. • Run an exploratory analysis to surface high-level patterns. • Produce visualizations—line charts, heat maps, or dashboards—so the trends are easy to grasp at a glance. • Summarize key findings in a concise report that highlights what’s driving the numbers and where opportunities or risks may lie. • Briefly outline recommended next steps based on those findings. A solid grasp of Excel, Python (pandas, matplotlib / seaborn, or similar), or a BI platform such as Power BI or Tableau will help you move quickly. Clear documentation of your process is important because I may build on this analysis later. If you enjoy digging into sales data to pull out stories the numbers tell, let’s get started.