Sales Data Analysis for Marketing

I have a clean export of our sales records and want a sharp analytical view that will directly inform my next-round marketing campaigns. The dataset covers order dates, customer IDs, product SKUs, quantities, revenue, discounts and channels. I need you to mine it for three angles at once: how sales trends have shifted over time, what purchasing patterns our customers reveal, and which products are outperforming or lagging.

The end-goal is specific: turn those findings into clear, actionable guidance that improves our marketing strategy—segmentation ideas, timing cues, cross-sell or upsell targets, anything the numbers reliably support. Standard tools such as Python (pandas, matplotlib, seaborn), SQL, Power BI or Tableau are fine; pick whichever lets you move fastest and leaves me with reusable assets.

Deliverables
• A concise slide deck or PDF report that explains methodology, key metrics and insights in plain language
• Interactive dashboards or clearly labeled Excel sheets so I can drill into the numbers myself
• A brief recommendations section tying each insight to a marketing action I can test next quarter

I will provide the raw CSVs upon award and can clarify field definitions right away. Looking forward to seeing what the data really has to say.