Monthly Sales Trend Insights

I’m sitting on a stack of monthly sales records and need clear, data-driven answers about where the numbers are really heading. Your job is to turn those raw figures into a set of trends I can act on.

Here’s the flow I have in mind: pull the data into SQL to shape and clean it, move into Python (Pandas, NumPy, or any preferred library) for deeper exploration, then surface the story in a Tableau dashboard that lets stakeholders slice results on demand. The end goal is simple—identify our sales trends month over month, highlight any seasonality or anomalies, and spell out what actions those patterns suggest.

Deliverables
• A well-documented SQL script or notebook that cleans and structures the monthly sales tables
• Python analysis with commented code showing key calculations and visual checks
• An interactive Tableau dashboard summarizing trend lines, standout categories, and notable shifts
• A brief insight report (PDF or slide deck) translating findings into next-step recommendations

If that workflow fits your skill set, let’s dive in and uncover the story behind the numbers.