Sr Data Analyst Interview Questions

3,099 sr data analyst interview questions shared by candidates

Manager was kind of rude. she asked : 1. Difference between Where and Having. 2. Exp with Machine Learning Models. 3. Experience with Python. 4. Difference between Inner Join and Outer Join. 5. How will you navigate with different teams when there is work in all the teams. 6. Can you work alone or you would prefer to work with people. 7. How would you explain about the data to a 5 year old. 8. why credit sesame ? What you like about it. 9. Explain about how you start with the data analysis process.
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Senior Data Analyst

Interviewed at Credit Sesame

3.5
Mar 28, 2017

Manager was kind of rude. she asked : 1. Difference between Where and Having. 2. Exp with Machine Learning Models. 3. Experience with Python. 4. Difference between Inner Join and Outer Join. 5. How will you navigate with different teams when there is work in all the teams. 6. Can you work alone or you would prefer to work with people. 7. How would you explain about the data to a 5 year old. 8. why credit sesame ? What you like about it. 9. Explain about how you start with the data analysis process.

Imagine you're given a dataset containing customer transaction records for an e-commerce company. The dataset includes information such as customer demographics, purchase history, product details, and timestamps. Your task is to analyze this dataset to identify trends or patterns that could inform business decisions. How would you approach this task, and what specific analyses or techniques would you employ to extract valuable insights from the data?
avatar

Senior Data Analyst

Interviewed at Best Buy

3.5
Apr 2, 2024

Imagine you're given a dataset containing customer transaction records for an e-commerce company. The dataset includes information such as customer demographics, purchase history, product details, and timestamps. Your task is to analyze this dataset to identify trends or patterns that could inform business decisions. How would you approach this task, and what specific analyses or techniques would you employ to extract valuable insights from the data?

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