I applied online. I interviewed at UBS (New York, NY) in Sept 2025
Interview
Recruiter Screening- A short conversation to confirm fit, timeline, location/work authorization
and then Hiring manager video interview they asked about previous experience and data analyst related questions. They asked about the alternative dataset and financial related questions.
Interview questions [1]
Question 1
SQL deep dive (joins, windows, aggregation, data quality)
Python / data modeling / pipeline thinking (depending on role)
2 senior management rounds, 2 team matching rounds and 1 HR round, the company is great to work for, there was 1 techincal round as well, there were questions related to SQL , data cleaning, data manipulation, python, python libraries
Interview questions [1]
Question 1
PowerBI dashboards, what is the effort to remove unnecessary dashboarding.
It was a great experience overall. I was asked to explain my past projects in detail, focusing on the tools, technologies, and the impact they created. Since the role was related to data analysis, I also discussed how I handled datasets, performed data cleaning, and extracted meaningful insights using tools like Excel, SQL, and Python libraries such as Pandas and Matplotlib.
In addition to the project discussion, there were questions around Object-Oriented Programming (OOPs) concepts like inheritance, polymorphism, and encapsulation, as well as some core DBMS topics, including normalization, SQL joins, and indexing.
They also asked a few basic Data Structures questions, such as arrays, linked lists, and hash maps, mostly to understand my problem-solving approach rather than deep algorithmic knowledge. The interview felt balanced and allowed me to showcase both my technical knowledge and analytical thinking.
Interview questions [1]
Question 1
an you walk us through one of your data analysis projects — what problem you solved, what tools you used, and what insights you derived?