The interview process for a data analysis engineer includes:

1. Initial screening with a recruiter to review your background and assess your fit for the role.
2. A take-home assignment to evaluate skills in SQL, Python, or data visualization tools.
3. A professional interview involving problem-solving and data analysis, showcasing your workflow and insights.
4. A behavioral interview to assess teamwork, adaptability, and handling challenges.
5. A final interview with senior managers to ensure cultural fit and discuss your vision for the role.

You are given a dataset containing customer purchase history, including the following columns: Customer_ID, Purchase_Date, Product_ID, Product_Category, and Purchase_Amount. How would you identify the top-performing product category over the last quarter, and what steps would you take to present your findings to stakeholders?