Kantar

Role: Senior Analyst (Data Analytics & Data Science)

College: Lame Institute of Technology (2022 Mechanical Engineering Pass Out)

Interview Date: Late 2023

Interview Type: Off-Campus

Result: Selected

Difficulty: Not Specified

Rounds: Estimated 2-3 technical rounds (based on discussion flow) + HR.

Topics Asked: Python (boolean indexing, basic data structures like list, tuple), SQL, Excel, Statistics, Machine Learning, Deep Learning (for pure Data Science roles), Project discussions, Problem-solving, Challenges faced in projects.

Experience:

This experience details a career transition to a Senior Analyst role at Kantar, focusing on 80% data analytics and 20% data science (including predictive modeling). The candidate, a 2022 Mechanical Engineering graduate, transitioned into this role.

The interview process started with an introduction, and the interviewers tailored questions based on the skills the candidate highlighted. The candidate explicitly stated proficiency in Python and SQL. Consequently, questions were primarily related to these areas.

Specific Python questions included boolean indexing and basic data structures like lists and tuples. SQL questions followed, and then a question from Excel was asked. The candidate mentioned not having a strong Excel background and openly communicated this. The interview also involved discussions about previous projects, focusing on how problems were resolved and challenges faced during implementation. For pure Data Science roles, statistics, machine learning, and deep learning concepts would also come into play.