Sales Trend Analysis for 89M

I have a raw dataset containing roughly 89 million sales transactions that needs a thorough analysis focused on uncovering meaningful trends. This is strictly a data-analysis project—no marketing or software build work is involved.

Scope
• Import, clean, and structure the sales data (formats vary between CSV and SQL exports).
• Run exploratory and statistical analyses to surface seasonality, geographic patterns, product-line momentum, and any outlier behavior.
• Visualize key insights in clear, interactive dashboards (Tableau or Power BI are both fine; Python libraries such as pandas, matplotlib, or seaborn work for static visuals).
• Summarize findings in a concise report that highlights actionable trends for senior leadership.

Acceptance Criteria
1. Reproducible code or notebooks with clear comments.
2. A dashboard exposing at least the top ten emerging sales trends.
3. Executive summary (≈2 pages) translating technical results into business language.

If you have experience working with very large datasets and can turn analytics into strategic insight, this should be a straightforward assignment.