Senior Data Analyst Interview Questions

2,902 senior data analyst interview questions shared by candidates

Below was the Case Study I received: Most of the time, the primary goal of launching a new feature on Agoda website is to increase the number of bookings. One way to increase the number of bookings and conversion rate is to encourage users to complete their bookings as fast as possible. The call-to-action message that helps us achieve that is internally known as an ‘urgency message’. Examples of urgency messages are: * “Prices have been rising. Book now to lock in your rates!” * “Your check-in is fast approaching. Book now to lock in your rates!” For this case imagine you will be presenting to two people: one is our head of analytics who is most interested in the math, and one is our head of strategy who is most interested in how your proposal will be implemented and end up being successful. Ensure your presentation addresses both. The team would like to understand the movement of the price as booking date approaches check-in date and hear your suggestion on business opportunity. Attached is a randomly sampled booking data from five different cities with check-in between 10/10/2016 – 12/31/2016. Please analyze the data and prepare a presentation in any format of preference (i.e. PowerPoint, keynote, or pdf). You will have about 30 minutes to present your findings and proposal to the management as well as answering any questions they may have. Our management team is highly analytical and data driven hence you should include any detailed analysis or data findings you have done for this project.
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Senior Data Analyst

Interviewed at Agoda

3.9
Aug 4, 2022

Below was the Case Study I received: Most of the time, the primary goal of launching a new feature on Agoda website is to increase the number of bookings. One way to increase the number of bookings and conversion rate is to encourage users to complete their bookings as fast as possible. The call-to-action message that helps us achieve that is internally known as an ‘urgency message’. Examples of urgency messages are: * “Prices have been rising. Book now to lock in your rates!” * “Your check-in is fast approaching. Book now to lock in your rates!” For this case imagine you will be presenting to two people: one is our head of analytics who is most interested in the math, and one is our head of strategy who is most interested in how your proposal will be implemented and end up being successful. Ensure your presentation addresses both. The team would like to understand the movement of the price as booking date approaches check-in date and hear your suggestion on business opportunity. Attached is a randomly sampled booking data from five different cities with check-in between 10/10/2016 – 12/31/2016. Please analyze the data and prepare a presentation in any format of preference (i.e. PowerPoint, keynote, or pdf). You will have about 30 minutes to present your findings and proposal to the management as well as answering any questions they may have. Our management team is highly analytical and data driven hence you should include any detailed analysis or data findings you have done for this project.

Why am I leaving my current company? (this was asked multiple times by different people. I assume they didn't want to accept someone who has 'grass is greener' syndrome but someone who really values the type of work they will be doing)
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Senior Business Data Analyst

Interviewed at Intuit

4.2
Feb 9, 2021

Why am I leaving my current company? (this was asked multiple times by different people. I assume they didn't want to accept someone who has 'grass is greener' syndrome but someone who really values the type of work they will be doing)

Though I didn't not get the offer I would like point out the seamless interview process and one of good HR I have come across. 1 HR - The HR was very welcoming and asked questions based on shared resume. explained what is expected out of this job role and shared general interview process and timelines and guided for next round 2 Hiring Manager : Again a very good human being. I explained my past projects with STAR method and what I can contribute to this role with my current skillset and he also had some situational based questions, some product analysis questions 3. Hacker Rank : The interviewer was very helpful and explained me the process and timeline for each questions, but the interview Qs were prepared based on interviewers experience (Python, AI and ML) 80% of the questions was having python coding and (Though I had mentioned I do not have hands on experience in python coding in my previous rounds and its in my resume too) the job description also mentioned other skill set like Data Management, Data visualization and AWS data lakes and ETL which was not even part of the interview as mentioned in the preparation mail shared by HR coordinator. though there were 1-2 questions surrounding SQL but the interviewer was not interested in spending more time on those Qs I can understand lack experience might be the reason for it. I tried explaining my thought process wherever I couldn't do python coding, Advice to Talent acquisition team: 1. If you are looking for a particular skillset then add it as must have for the job role and dont add 10 supporting skillset to the JD. 2. If team wants versatile candidate on the team then please make sure interviewer possesses similar skillset or have some knowledge about it.
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Senior Product Data Analyst

Interviewed at Workday

3.5
Sep 13, 2023

Though I didn't not get the offer I would like point out the seamless interview process and one of good HR I have come across. 1 HR - The HR was very welcoming and asked questions based on shared resume. explained what is expected out of this job role and shared general interview process and timelines and guided for next round 2 Hiring Manager : Again a very good human being. I explained my past projects with STAR method and what I can contribute to this role with my current skillset and he also had some situational based questions, some product analysis questions 3. Hacker Rank : The interviewer was very helpful and explained me the process and timeline for each questions, but the interview Qs were prepared based on interviewers experience (Python, AI and ML) 80% of the questions was having python coding and (Though I had mentioned I do not have hands on experience in python coding in my previous rounds and its in my resume too) the job description also mentioned other skill set like Data Management, Data visualization and AWS data lakes and ETL which was not even part of the interview as mentioned in the preparation mail shared by HR coordinator. though there were 1-2 questions surrounding SQL but the interviewer was not interested in spending more time on those Qs I can understand lack experience might be the reason for it. I tried explaining my thought process wherever I couldn't do python coding, Advice to Talent acquisition team: 1. If you are looking for a particular skillset then add it as must have for the job role and dont add 10 supporting skillset to the JD. 2. If team wants versatile candidate on the team then please make sure interviewer possesses similar skillset or have some knowledge about it.

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