The interview process was smooth and professional. It started with a technical discussion focused on Python, Pandas, NumPy, and PySpark fundamentals. The interviewer asked me to write code using NumPy arrays and basic PySpark DataFrame operations. They also asked Power BI questions related to dashboards and data visualization. The interviewer was friendly, gave enough time to answer, and assessed both theoretical knowledge and coding skills. After the technical interview, I received positive feedback and was informed that my profile had been shortlisted for the final offer confirmation.
Interview questions [1]
Question 1
Explain your Data Analyst projects.
What is the difference between Pandas and PySpark?
Applied through naukari for data analyst position. There are 3 interview rounds resume shortlist, technical, managerial round.After resume shortlist there is technical round if you cleared technical round then there will be manager round
Interview questions [1]
Question 1
About yourself and previous work related questions
The interview process consisted of a telephonic round followed by a written test. The telephonic interview focused on basic communication skills, analytical thinking, and understanding of data concepts. The written test included logical reasoning, basic data interpretation, and problem-solving questions. Overall, the process was smooth and well-structured.
Interview questions [1]
Question 1
Explain a data analysis problem you solved using Excel or Python.
Data Analyst applicants have rated the interview process at eClerx with 1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 59% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at eClerx as a Data Analyst according to 1 Glassdoor interviews include:
Skills test: 20%
Phone interview: 20%
IQ intelligence test: 20%
Background check: 20%
One on one interview: 20%
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