The interview process for the Data Analyst role was a mix of technical and behavioral rounds. It started with an initial screening where I was asked about my background, experience with data tools, and projects I had worked on. They were particularly interested in my experience with Power BI, SQL, and Python, as well as my problem-solving approach. The second round was technical, where I was given a case study involving real-world data. I had to clean, analyze, and visualize the dataset, followed by writing SQL queries to derive insights. I was also asked questions on data modeling, ETL processes, and my hands-on experience with tools like Alteryx .The interviewers focused on my ability to automate processes and improve efficiency, which I demonstrated by discussing projects where I reduced manual effort significantly. Finally, the HR round covered questions about team collaboration, work ethics, and how I handle deadlines. They appreciated my analytical mindset, experience in supply chain data analysis, and the impact my automation efforts had on business processes. Overall, the interview was challenging yet rewarding, emphasizing both technical expertise and business acumen.