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Google Senior Data Analyst Interview Questions and Answers

Updated 21 Nov 2024

Google Senior Data Analyst Interview Experiences

3 interviews found

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - HR 

(2 Questions)

  • Q1. To be good performare but you don't give to the company. End of the loss.
  • Q2. Pls basic components are very important pls focose on it

Interview Preparation Tips

Interview preparation tips for other job seekers - Job is time pass earning sorce should be do some own your self
Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Oct 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Question about Googlyness
  • Q2. Question about Google Lens, a RCA question

Interview Preparation Tips

Topics to prepare for Google Senior Data Analyst interview:
  • Root Cause Analysis
  • Guesstimates
  • Leadership
Interview preparation tips for other job seekers - Research about Google's core values and principles.

Learn how to do a RCA and a Guesstimate.

Learn how to answer in STAR method.
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Sep 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Online Hacker Rank test

Round 2 - Case Study 

Assumption based case study was given

Interview Preparation Tips

Interview preparation tips for other job seekers - Be honest

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Interview questions from similar companies

Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
No response

I applied via Company Website and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(6 Questions)

  • Q1. Asked Algorithms used in the project (No follow-up on mentioned algorithms, cut-off mid-explanation of business problem, scale, and solution wanting to know just the names of the algorithm) - Answered by n...
  • Q2. Count all pairs of numbers from a list where the ending digit of the ith number equals the starting digit of the jth number. Example [122, 21, 21, 23] should have 5 pairs (122, 21), (122, 21), (122, 23), (...
  • Ans. 

    Count pairs of numbers where ending digit of ith number equals starting digit of jth number.

    • Iterate through each pair of numbers in the list

    • Check if the ending digit of the ith number equals the starting digit of the jth number

    • Increment the count if the condition is met

  • Answered by AI
  • Q3. Interpretation of graphs, the first graph had perpendicular lines from the error to the fitted line and the second graph had lines from the error to the fitted line, parallel to the y-axis. - Interpreted t...
  • Ans. 

    Interpretation of graphs in linear regression analysis

    • Perpendicular lines from error to fitted line in first graph indicate OLS using projection matrices

    • Lines parallel to y-axis from error to fitted line in second graph suggest evaluation of linear regression to y-pred - y-actual method

    • PCA could also be a possible interpretation for the second graph

  • Answered by AI
  • Q4. What does np.einsum() do
  • Ans. 

    np.einsum() performs Einstein summation on arrays.

    • Performs summation over specified indices

    • Can also perform other operations like multiplication, contraction, etc.

    • Syntax: np.einsum(subscripts, *operands)

  • Answered by AI
  • Q5. How to generate random numbers using numpy, what is the difference between numpy.random.rand and numpy.random.randn
  • Ans. 

    numpy.random.rand generates random numbers from a uniform distribution, while numpy.random.randn generates random numbers from a standard normal distribution.

    • numpy.random.rand generates random numbers from a uniform distribution between 0 and 1.

    • numpy.random.randn generates random numbers from a standard normal distribution with mean 0 and standard deviation 1.

    • Example: np.random.rand(3, 2) will generate a 3x2 array of r...

  • Answered by AI
  • Q6. Difference between logit and probabilities in deep learning
  • Ans. 

    Logit is the log-odds of the probability, while probabilities are the actual probabilities of an event occurring.

    • Logit is the natural logarithm of the odds ratio, used in logistic regression.

    • Probabilities are the actual likelihood of an event occurring, ranging from 0 to 1.

    • In deep learning, logit values are transformed into probabilities using a softmax function.

    • Logit values can be negative or positive, while probabili

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - The interview seems to be designed for freshers, so brush up on libraries, and the functions inside them (utilization not the working).
No mathematics/statistics/probability/algorithm is discussed in terms of implementations, or enhancements.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
-
Result
Selected Selected

I applied via Campus Placement

Round 1 - Aptitude Test 

It was related to Aptitude MCQ and 2-coding test

Round 2 - Technical 

(3 Questions)

  • Q1. Palindrome of a number
  • Ans. 

    A palindrome of a number is a number that remains the same when its digits are reversed.

    • To check if a number is a palindrome, reverse the number and compare it with the original number.

    • Examples: 121 is a palindrome, 123 is not a palindrome.

  • Answered by AI
  • Q2. Merge 2linked list
  • Ans. 

    Merging two linked lists involves combining the elements of both lists into a single list.

    • Create a new linked list to store the merged elements

    • Traverse through both linked lists and add elements to the new list

    • Handle cases where one list is longer than the other

  • Answered by AI
  • Q3. About projects you have done
Round 3 - HR 

(2 Questions)

  • Q1. Explain your resume fully
  • Q2. General questions on the behaviour

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Feb 2024. There were 5 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. Self-introduction
  • Q2. What are your roles and responsibilities in current organization
  • Ans. 

    I am responsible for analyzing data, creating reports, and providing insights to support decision-making.

    • Analyze large datasets to identify trends and patterns

    • Create reports and dashboards to visualize data for stakeholders

    • Provide insights and recommendations based on data analysis

    • Collaborate with cross-functional teams to drive data-driven decision-making

  • Answered by AI
Round 2 - One-on-one 

(2 Questions)

  • Q1. Self-introduction
  • Q2. Brief discussion about the roles and responsibilities for current opening
  • Ans. 

    Lead Data Analyst oversees data analysis team, develops strategies, interprets data, and presents insights to stakeholders.

    • Manage and lead a team of data analysts

    • Develop data analysis strategies and methodologies

    • Interpret data and provide actionable insights to stakeholders

    • Collaborate with cross-functional teams to drive data-driven decision making

    • Ensure data quality and accuracy in analysis

    • Stay updated on industry tre

  • Answered by AI
Round 3 - Technical 

(3 Questions)

  • Q1. Self-introduction
  • Q2. Technical round for Python, SQL, Tableau and Advanced Excel
  • Q3. Scenario based questions
Round 4 - One-on-one 

(3 Questions)

  • Q1. Self-Introduction
  • Q2. What do you understand about Sales Comp and its roles and responsibilities
  • Ans. 

    Sales Comp is a system that determines how salespeople are compensated based on their performance.

    • Sales Comp is short for Sales Compensation

    • It involves designing and implementing a system to reward salespeople based on their sales performance

    • Roles include setting sales targets, determining commission structures, and monitoring sales performance

    • Responsibilities include analyzing sales data, calculating commissions, and ...

  • Answered by AI
  • Q3. Scenario based questions
Round 5 - One-on-one 

(2 Questions)

  • Q1. Self-introduction
  • Q2. Scenario based questions

Interview Preparation Tips

Topics to prepare for Salesforce Lead Data Analyst interview:
  • Sales comp
  • Data Analysis
  • Python
  • SQL
  • Tableau
  • Advanced Excel
  • CRM
Interview preparation tips for other job seekers - Before going to interview, first thoroughly read about the roles and responsibilities. Make yourself prepared accordingly.

Ask questions to the interviewer to understand their expectations for the role you are applying for.

Do some research about the company and the pay scale for your roles and put your expectations accordingly.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Given a situation how do you handle different cases
  • Q2. Given a proab stats question

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your projects well.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Basic of python , sql, pandas,niumpy
Round 2 - Technical 

(1 Question)

  • Q1. Gave me a task to make web app for medical condition detection after clearing first round asked questions relted to it

Data Scientist Interview Questions & Answers

Chetu user image Abhilasha Dimble

posted on 22 Feb 2024

Interview experience
1
Bad
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...

Interview Preparation Tips

Interview preparation tips for other job seekers - Guys, interviewer is really wierd...very rude...
Starts interview with lots of questions..
He interrupts me in every question's answer.. doesn't even ready listen my answers ...
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Basic pandas questions on dataframes
  • Q2. Some quiz questions

Google Interview FAQs

How many rounds are there in Google Senior Data Analyst interview?
Google interview process usually has 1-2 rounds. The most common rounds in the Google interview process are Resume Shortlist, HR and Coding Test.
How to prepare for Google Senior Data Analyst interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Google. The most common topics and skills that interviewers at Google expect are Automation Systems, Data Analysis, Operations, Process Optimization and Project Management.
What are the top questions asked in Google Senior Data Analyst interview?

Some of the top questions asked at the Google Senior Data Analyst interview -

  1. Question about Google Lens, a RCA quest...read more
  2. To be good performare but you don't give to the company. End of the lo...read more
  3. Pls basic components are very important pls focose on...read more

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