Sales Revenue Growth Analysis

I’m looking for a sharp analyst to turn my raw sales exports into clear, decision-ready insight focused on revenue growth. The data covers online and in-store transactions plus basic customer attributes; it just hasn’t been cleaned or modeled yet. Your mission: • Prepare and cleanse the files so every sale is accurately timestamped and attributed to product, channel and customer segment. • Build the model that lets us track revenue growth and uncover its drivers—product mix, regions, marketing channels, returning vs. new buyers, average order value, and seasonality. • Visualise the trends in an interactive dashboard (Tableau, Power BI, or similar) and supply a short slide deck that highlights the biggest growth levers and red flags. I’m flexible on time granularity—monthly, quarterly or annual comparisons—so feel free to recommend the breakdown that will surface the clearest story. Accuracy, readable SQL / Python notebooks, and well-labelled visuals are the key acceptance criteria.