All of my raw data lives in a SQL database, and I need a solid statistical analysis that turns those rows into clear, defensible insights. I will provide read-only credentials and a brief on the business questions I’m trying to answer. You will be responsible for extracting the relevant tables, preparing the data, running the appropriate statistical tests, and translating the results into plain-language findings that management can act on. Please work in the analytical environment you are most comfortable with—Python (pandas, SciPy, statsmodels) or R are both fine—as long as the code is clean, reproducible, and thoroughly commented. Visual summaries such as charts or dashboards are welcome where they help communicate the story behind the numbers. Deliverables • SQL query scripts used to pull and clean the data • Well-documented analysis code (Jupyter notebook or R Markdown) • A concise report highlighting key statistics, assumptions, and interpretations • Exportable visualizations (PNG or interactive HTML) that illustrate the main takeaways I’m happy to clarify the hypotheses, confidence levels, or any business context you need once we get started. Let me know your preferred toolset and estimated timeline, and feel free to suggest additional tests if you see opportunities for deeper insight.