Financial Sales Data Analysis

I need an experienced analyst to dive into my finance-sector sales data, extract clear insights, and present them in a way that supports faster, more confident decisions. The raw figures are ready; what I’m missing is a clean, well-structured examination that highlights trends, pinpoints anomalies, and translates numbers into actionable recommendations.

Your work should cover:
• Data preparation – verify accuracy, handle missing values, and structure the dataset for efficient exploration.
• Exploratory and statistical analysis – surface key drivers of revenue, seasonality, customer behavior, or any significant correlations.
• Visual reporting – create clear charts or an interactive dashboard (Excel, Power BI, or Python libraries such as Matplotlib/Seaborn) so stakeholders can grasp results at a glance.
• Executive summary – a concise write-up of findings and suggested next steps.

Accuracy, transparency in methodology, and on-time delivery matter most to me. If you’ve previously tackled finance-related sales datasets and can communicate complex results in plain language, I’d love to see how you’d approach this assignment.