This is the most common type of question you'll face in almost any data analyst interview.
What are behavioral interview questions?
What is the first main responsibility of a business analyst?
Understand client needs
What is the primary role of Google Analytics?
To manage data and find useful insights from website visitors
What does AR overlay into the physical world?
Virtual content/digital objects
This type of analysis involves breaking down ambiguous questions into smaller pieces in a structured way.
What are problem-solving skills?
This framework, which stands for Situation, Task, Action, and Result, is a recommended way to answer behavioral questions.
What is the STAR framework?
Name one type of IoT analytics and its purpose.
Predictive analytics: forecasts future trends
Name two metrics Google Analytics tracks beyond pageviews.
Bounce rate, average session duration, goal completions.
How does VR create depth perception?
By showing slightly different images to each eye
This language dominates data analysis due to its pandas library and scikit-learn integration.
Python
How would you answer: "How do you handle unclear requirements?"
"I ask clarifying questions and document assumptions."
How does edge computing improve IoT data processing?
Processes data closer to devices, reducing latency
Fill in the blank: Google Analytics helps businesses determine top ______ of user traffic.
sources
True or False: Standalone VR headsets require a connected PC to function.
False (They have built-in hardware)
Fix the error: for i in range(5) print(i)
Add colon → `for i in range(5):
For new graduates applying for data analyst positions, interviewers often ask many behavioral questions to see how well you work with these.
What are other people?
What sector uses IoT for soil monitoring and crop health?
Agriculture
Why might a restaurant’s website care more about "bounce rate" than pageviews?
To see if visitors leave without engaging with key info like menu/location
Why might a company choose AR over VR for data visualization? Give one advantage.
AR overlays data on the real world, allowing users to maintain situational awareness.
This specific Python library is mentioned for data manipulation, often transpose from SQL questions.
What is pandas?
This type of company, like JP Morgan or American Airlines, often emphasizes behavioral questions more than technical ones.
What is a non-tech company?
What is data preprocessing, and why is it essential in IoT?
Cleaning/organizing raw data to ensure accurate analysis
What are two limitations of Google Analytics?
Sampling limits, privacy restrictions, no offline data tracking
What privacy risk arises from VR eye-tracking data?
Collection of sensitive personal behavior patterns
What does [::-1] do to a list?
Reverses it