I have a complete record of recent sales and need a sharp analytical mind to turn those raw numbers into clear, actionable guidance for my social-media campaigns. The assignment revolves strictly around sales data; customer or market datasets are out of scope, so the focus can remain tight and conclusions direct. What matters most is translating quantitative findings into a revised social-media strategy that lifts conversions and revenue. I expect a structured approach—data cleaning, exploratory analysis, insightful visualisations, then concrete recommendations I can test on Instagram, Facebook, TikTok, or whichever platform the numbers point to. You are free to work with Python (pandas, NumPy, Seaborn), SQL, Excel, Power BI, or any tool you trust—as long as the final files are fully editable and the methodology is transparent. Deliverables • A concise report (PDF or slides) highlighting key trends, patterns, and outliers in the sales data • At least three data-backed tactics designed specifically for my social-media channels, each linked to measurable KPIs • The cleaned dataset plus any scripts or notebooks used, so I can reproduce or extend the analysis later I’ll provide the raw sales export the moment we kick off. If everything checks out and results start to show, there’s room for a long-term partnership on ongoing optimisation.