For the Data Analyst role at PwC Toronto, my interview process typically starts with an online application, followed by a brief recruiter screen discussing my background and motivation. I then complete a technical or case interview focused on SQL, Excel, basic statistics, and data interpretation, along with behavioral questions about teamwork and client communication. In some cases, there is a final conversation with a manager or partner to assess culture fit and business mindset.

The selection process consisted of three interview rounds: 1st Interview : Was asked about my areas of interest, the programming languages I was familiar with, and asked me to rate my proficiency in each of them. Next, asked about the project mentioned in my CV, including the process I followed to develop it and the challenges I faced,if I had prior experience working in a team. Since the project was a group effort, I explained how I collaborated with my teammates. Then asked if I had ever faced disagreements within the team and how I handled them. 2nd Interview : This round started with introductions. It primarily focused on technical aspects, particularly the project I had highlighted in my CV. The interviewer was impressed by the uniqueness of the project. He asked me to explain the project in detail, including: • The technologies I used • The problem it aimed to solve • How it stood out compared to other projects After discussing the project, he asked a few conceptual questions about Object-Oriented Programming (OOPs), such as: • What is Object-Oriented Programming? • What type of language is Python? • Principles of OOPs with examples Additionally, I was asked about the subjects I had studied as part of my curriculum and my Computer Science minor. 3rd Interview (HR Round): This round focused on my personal interests and career aspirations. The interviewer asked about: • My hobbies and interests • Why I wanted to join PwC as an intern • Whether I planned to pursue higher studies after completing my B.Tech