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Google Senior Data Analyst Interview Questions and Answers
Google Senior Data Analyst Interview Experiences
3 interviews found
I applied via Recruitment Consulltant and was interviewed in Oct 2024. There was 1 interview round.
(2 Questions)
- Q1. Question about Googlyness
- Q2. Question about Google Lens, a RCA question
Interview Preparation Tips
- Root Cause Analysis
- Guesstimates
- Leadership
Learn how to do a RCA and a Guesstimate.
Learn how to answer in STAR method.
Selected
I applied via Naukri.com and was interviewed in Sep 2024. There were 2 interview rounds.
Online Hacker Rank test
Assumption based case study was given
Interview Preparation Tips
(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
What people are saying about Google
Interview questions from similar companies
I applied via Company Website and was interviewed in Jul 2024. There was 1 interview round.
(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
- 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
- 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)
- 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...
- 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
Interview Preparation Tips
No mathematics/statistics/probability/algorithm is discussed in terms of implementations, or enhancements.
Skills evaluated in this interview
Data Science Intern Interview Questions & Answers
Bosch Global Software Technologies
Anonymous
posted on 26 Nov 2024
Selected
I applied via Campus Placement
It was related to Aptitude MCQ and 2-coding test
(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.
- 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
- Q3. About projects you have done
(2 Questions)
- Q1. Explain your resume fully
- Q2. General questions on the behaviour
Skills evaluated in this interview
Chandan gupta
Selected
I applied via Referral and was interviewed in Feb 2024. There were 5 interview rounds.
(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
(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
(3 Questions)
- Q1. Self-introduction
- Q2. Technical round for Python, SQL, Tableau and Advanced Excel
- Q3. Scenario based questions
(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 ...
- Q3. Scenario based questions
(2 Questions)
- Q1. Self-introduction
- Q2. Scenario based questions
Interview Preparation Tips
- Sales comp
- Data Analysis
- Python
- SQL
- Tableau
- Advanced Excel
- CRM
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.
(2 Questions)
- Q1. Given a situation how do you handle different cases
- Q2. Given a proab stats question
Interview Preparation Tips
I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
(1 Question)
- Q1. Basic of python , sql, pandas,niumpy
(1 Question)
- Q1. Gave me a task to make web app for medical condition detection after clearing first round asked questions relted to it
Abhilasha Dimble
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
(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
Starts interview with lots of questions..
He interrupts me in every question's answer.. doesn't even ready listen my answers ...
(2 Questions)
- Q1. Basic pandas questions on dataframes
- Q2. Some quiz questions
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Google Senior Data Analyst Reviews and Ratings
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