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Google Business Analyst Interview Questions and Answers for Experienced

Updated 18 Nov 2024

Google Business Analyst Interview Experiences for Experienced

2 interviews found

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

I applied via Referral and was interviewed in Oct 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Sql and business metrics designing

Round 2 - Leadership principle 1 

(2 Questions)

  • Q1. Tell me a business problem that you solved
  • Ans. 

    Implemented a data analytics solution to optimize inventory management and reduce costs

    • Identified key factors affecting inventory levels and costs

    • Developed a predictive model to forecast demand and optimize ordering quantities

    • Implemented a dashboard for real-time monitoring of inventory levels and performance

    • Collaborated with cross-functional teams to ensure successful implementation

  • Answered by AI
  • Q2. Youtube wants to open a new office, what factors would h consider
  • Ans. 

    Factors to consider when opening a new office for Youtube

    • Location - proximity to talent pool, access to transportation

    • Cost - real estate prices, taxes, cost of living

    • Market - target audience, competition in the area

    • Infrastructure - availability of utilities, internet connectivity

    • Regulations - local laws, permits required

  • Answered by AI
Round 3 - Leadership principle 2 

(1 Question)

  • Q1. Problem situation given and what metrics would you design around it

I applied via LinkedIn and was interviewed in Oct 2022. There were 4 interview rounds.

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 - Aptitude Test 

Basic aptitude test required for analyst

Round 3 - Coding Test 

Coding test consist of python,sql queries to test your logic for the problem

Round 4 - HR 

(2 Questions)

  • Q1. Salary discussion, negotiation, and other ability based question. Checking your team work capability
  • Q2. Shsjsjsksosksmsbsmzmzl

Interview Preparation Tips

Topics to prepare for Google Business Analyst interview:
  • Python
  • MySQL
  • Tableu
  • Power Bi
  • Excel
Interview preparation tips for other job seekers - Gain techical knowledge as much as possible
Practice hard on coding, improve your analytical skills

Business Analyst Interview Questions Asked at Other Companies for Experienced

Q1. How would you sell a simple pen for 1 lakh.
asked in HCLTech
Q2. 5. In certain condition you are not able to achieve the target of ... read more
Q3. 1. What are different requirements Gathering technique?
asked in Wipro
Q4. What is the difference between Saving and current account
Q5. In an organisation where standard costing is implemented, why is ... read more

Interview questions from similar companies

I applied via Referral and was interviewed before Aug 2020. There were 5 interview rounds.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and should communicate well in English. Be Truth.

I applied via Recruitment Consultant and was interviewed before Oct 2020. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. How important is for you to celebrate Christmas?
  • Ans. Basically here they wanted to know if you would be flexible enough to work on Christmas day. The reason because December happens to be a crucial month for year end and the workload is overwhelming. So the crux of the question is you only get one day leave for Christmas I.e Christmas day else you are asked to work. It may happen that your leaves are not approved at all the rest of the days depending on the situation. Ha
  • Answered Anonymously
  • Q2. How often have you been given negative feedback?

Interview Preparation Tips

Interview preparation tips for other job seekers - They want to know how flexible you are and will you be available for business as and when required. That includes stretched hours, overtime.

Interview Questionnaire 

2 Questions

  • Q1. About data science
  • Q2. What is used and where is used
  • Ans. 

    Data is used in various industries and sectors for analysis and decision-making.

    • Data is used in finance to analyze market trends and make investment decisions.

    • Data is used in healthcare to track patient outcomes and improve treatment plans.

    • Data is used in marketing to analyze customer behavior and target advertising campaigns.

    • Data is used in transportation to optimize routes and improve logistics.

    • Data is used in educat...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers -
I advised that ask only leveling questions. And they freshers then don't ask high type questions it to be only working level questions

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Dec 2022. There were 3 interview rounds.

Round 1 - Coding Test 

String Reverse Coding Test


User
Share Detail for coding test

ChatGPT
Certainly! I'd be happy to provide you with details for a coding test. Here's an example of a coding test description:

Title: String Reversal

Description:
Write a function that takes a string as input and returns the reverse of that string. The function should reverse the order of characters in the string and return the reversed string as the output.

Requirements:

The function should be named reverseString and take a single parameter, inputString, of type string.
The function should return a string.
The function should handle both uppercase and lowercase letters.
The function should preserve any whitespace or special characters in the input string.
The function should not use any built-in or library functions that directly solve this problem.
Example:
Input: "Hello, World!"
Output: "!dlroW ,olleH"

Note:

The input string can be of any length.
The input string may contain alphanumeric characters, whitespace, or special characters.
Evaluation Criteria:

Correctness of the solution.
Efficiency and clarity of the code.
Proper handling of edge cases and error conditions.
Adherence to coding best practices.
Please complete the task within 30 minutes and submit your solution as a single file. Feel free to use any programming language you are comfortable with.
Good luck!

Round 2 - Aptitude Test 

String Reverse Coding Test


User
Share Detail for coding test

ChatGPT
Certainly! I'd be happy to provide you with details for a coding test. Here's an example of a coding test description:

Title: String Reversal

Description:
Write a function that takes a string as input and returns the reverse of that string. The function should reverse the order of characters in the string and return the reversed string as the output.

Requirements:

The function should be named reverseString and take a single parameter, inputString, of type string.
The function should return a string.
The function should handle both uppercase and lowercase letters.
The function should preserve any whitespace or special characters in the input string.
The function should not use any built-in or library functions that directly solve this problem.
Example:
Input: "Hello, World!"
Output: "!dlroW ,olleH"

Note:

The input string can be of any length.
The input string may contain alphanumeric characters, whitespace, or special characters.
Evaluation Criteria:

Correctness of the solution.
Efficiency and clarity of the code.
Proper handling of edge cases and error conditions.
Adherence to coding best practices.
Please complete the task within 30 minutes and submit your solution as a single file. Feel free to use any programming language you are comfortable with. Good luck!





User
Share derail for amplitude test

ChatGPT
Certainly! Here's an example of a coding test description for an amplitude test:

Title: Finding Amplitude

Description:
Write a function that takes a list of integers as input and returns the amplitude of the list. The amplitude of a list is defined as the difference between the largest and smallest elements in the list.

Requirements:

The function should be named findAmplitude and take a single parameter, inputList, which is a list of integers.
The function should return an integer representing the amplitude of the input list.
The function should handle both positive and negative integers.
The function should handle an empty list as input and return 0 as the amplitude.
Example:
Input: [2, 5, 9, -1, 3, 7]
Output: 10

Explanation:
The largest element in the list is 9, and the smallest element is -1. Therefore, the amplitude is 9 - (-1) = 10.

Note:

The input list can contain duplicates.
The input list can be of any length.
Evaluation Criteria:

Correctness of the solution.
Efficiency and clarity of the code.
Proper handling of edge cases and error conditions.
Adherence to coding best practices.
Please complete the task within 30 minutes and submit your solution as a single file. Feel free to use any programming language you are comfortable with.
Good luck!

Round 3 - Group Discussion 

Certainly! Here's an example of a group discussion topic:

Topic: The Impact of Artificial Intelligence on the Job Market

Description:
In this group discussion, we will explore the impact of artificial intelligence (AI) on the job market. AI is rapidly advancing, and its integration into various industries and sectors has raised concerns about the future of work.

Points to consider:
Potential job displacement: Discuss how AI has the potential to automate tasks and replace human jobs in various fields. Explore which industries or job roles are most susceptible to automation and the potential consequences for workers.

Job creation: Explore the other side of the argument and discuss how AI can also create new job opportunities. Consider the emergence of AI-related roles such as data scientists, AI trainers, and AI ethicists. Discuss the skills and expertise required for these new job roles.

Skills and education: Discuss the importance of skills development and education in adapting to the changing job market. Explore what skills will be in high demand in an AI-driven economy and how individuals and organizations can upskill or reskill to remain relevant.

Ethical considerations: Consider the ethical implications of AI in the job market. Discuss issues such as algorithmic bias, data privacy, and the responsibility of companies and policymakers in ensuring a fair and inclusive job market.

Job market transformation: Discuss the overall transformation of the job market due to AI. Explore how AI is reshaping traditional job roles, the gig economy, and the potential for new forms of work, such as remote work and flexible arrangements.

Guidelines:

Each participant should express their thoughts and ideas clearly and respectfully.
Encourage active listening and give everyone an opportunity to speak.
Support your arguments with relevant examples or data, if possible.
Be open to different perspectives and engage in constructive debate.
Evaluation Criteria:

Clarity of thought and expression.
Ability to articulate and support arguments.
Active participation and engagement with other participants.
Respectful and collaborative attitude towards the group discussion.
Please prepare your thoughts on the topic before the discussion. The group discussion will last for approximately 30 minutes. Good luck!

Interview Preparation Tips

Interview preparation tips for other job seekers - As a data science job seeker, here are some key pieces of advice to help you in your job search:

Develop a Strong Foundation: Ensure you have a solid understanding of the fundamental concepts and techniques in data science. This includes knowledge of statistics, mathematics, programming (Python and R are commonly used), machine learning algorithms, and data manipulation.

Build a Portfolio: Create a portfolio that showcases your data science skills and projects. This could include personal projects, Kaggle competition entries, or contributions to open-source projects. A portfolio demonstrates your practical experience and can set you apart from other candidates.

Gain Practical Experience: Seek out opportunities to work on real-world data science problems. Consider internships, freelance projects, or collaborations with researchers or companies. Practical experience not only enhances your skills but also demonstrates your ability to apply your knowledge to solve real problems.

Stay Updated: Keep up with the latest developments in the field of data science. Follow blogs, participate in online forums and communities, and attend conferences or webinars. Being aware of emerging technologies, techniques, and trends shows your dedication to continuous learning and growth.

Network: Build connections within the data science community. Attend industry events, join professional organizations, and engage with professionals through social media platforms like LinkedIn and Twitter. Networking can lead to valuable job opportunities, referrals, and insights into the industry.

Customize Your Applications: Tailor your resume and cover letter for each job application. Highlight relevant skills, projects, and experiences that align with the specific requirements of the position. A personalized application shows your attention to detail and genuine interest in the role.

Prepare for Interviews: Be prepared for technical interviews that assess your data science skills. Practice coding exercises, algorithmic problem-solving, and be able to explain your projects in a clear and concise manner. Additionally, be prepared to answer behavioral and situational questions to demonstrate your problem-solving, teamwork, and communication skills.

Continuously Learn and Improve: Data science is a rapidly evolving field, so embrace a growth mindset. Seek opportunities to learn new techniques, explore new domains, and expand your skill set. Take online courses, attend workshops, or pursue advanced degrees if necessary. Show that you are committed to staying ahead of the curve.

Emphasize Communication Skills: Data scientists are not just expected to analyze data but also effectively communicate their findings to non-technical stakeholders. Develop your ability to present complex concepts in a clear and concise manner, both verbally and in written form. Strong communication skills will make you a valuable asset to any organization.

Be Persistent and Resilient: The job search process can be challenging and may require time and perseverance. Don't get discouraged by rejection or setbacks. Learn from each experience, seek feedback, and continuously refine your approach. With persistence and a positive attitude, you'll increase your chances of landing a data science job.

Remember, the field of data science is highly competitive, so it's important to stand out from the crowd. By following these tips and continuously improving your skills, you can increase your chances of securing a rewarding job in data science. Good luck with your job search!
Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
No response

I applied via Walk-in and was interviewed in Mar 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Introduction about our self
  • Ans. 

    I am a data analyst with 5 years of experience in analyzing and interpreting complex data sets to drive business decisions.

    • I have a strong background in statistical analysis and data visualization techniques.

    • Proficient in SQL, Python, and Tableau for data manipulation and reporting.

    • Experience in developing predictive models and conducting A/B testing to optimize marketing strategies.

  • Answered by AI
  • Q2. Complete discussion about projects

Interview Preparation Tips

Interview preparation tips for other job seekers - prepaire well
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Dsa good to have Sql

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Apr 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - HR 

(2 Questions)

  • Q1. Why are you leaving your previous company
  • Ans. 

    Looking for new challenges and growth opportunities

    • Desire to expand skill set and take on new challenges

    • Seeking a company with a better cultural fit

    • Company downsizing or restructuring

    • Commute or relocation issues

    • Personal reasons such as family or health

  • Answered by AI
  • Q2. Will you be completing your notice period
  • Ans. 

    Yes, I will be completing my notice period.

    • I am committed to fulfilling my professional obligations.

    • I understand the importance of completing the notice period for a smooth transition.

    • I have successfully completed notice periods in my previous roles.

    • I am prepared to hand over my responsibilities and assist in the transition process.

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. Basic math questions
  • Q2. They check of you can hold long conversations
Round 4 - Behavioral 

(2 Questions)

  • Q1. Same as hr and operations
  • Q2. Why do want to join adp
  • Ans. 

    I am excited to join ADP because of its reputation as a leader in HR technology and its commitment to employee development.

    • ADP's reputation as a leader in HR technology is impressive and I want to be a part of that innovation.

    • I appreciate ADP's commitment to employee development and growth opportunities.

    • I am excited about the potential to work with a diverse and talented team at ADP.

    • I believe ADP's values align with my...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Adp addresses their B2B partners as clients and not customers

Please complete minimum of 2 years in your previous company for smooth interview

I applied via Naukri.com and was interviewed in Jun 2022. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Previous project experince
  • Ans. 

    I have previous project experience in data analysis and financial modeling.

    • Developed a financial model to analyze investment opportunities

    • Conducted data analysis to identify trends and patterns

    • Created reports and presentations to communicate findings to stakeholders

  • Answered by AI
  • Q2. About bio data yes t

Interview Preparation Tips

Interview preparation tips for other job seekers - Good challenging need more tips and advices

Google Interview FAQs

How many rounds are there in Google Business Analyst interview for experienced candidates?
Google interview process for experienced candidates usually has 3-4 rounds. The most common rounds in the Google interview process for experienced candidates are Coding Test, HR and Resume Shortlist.
How to prepare for Google Business Analyst interview for experienced candidates?
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 Analytics, Python, Recruitment, Operations and Data Analysis.
What are the top questions asked in Google Business Analyst interview for experienced candidates?

Some of the top questions asked at the Google Business Analyst interview for experienced candidates -

  1. Problem situation given and what metrics would you design around...read more
  2. Shsjsjsksosksmsbsmz...read more

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Google Business Analyst Interview Process for Experienced

based on 1 interview

Interview experience

4
  
Good
View more
Google Business Analyst Salary
based on 83 salaries
₹6.5 L/yr - ₹25 L/yr
62% more than the average Business Analyst Salary in India
View more details

Google Business Analyst Reviews and Ratings

based on 9 reviews

4.5/5

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4.6

Skill development

4.7

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4.9

Salary

4.3

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4.7

Company culture

4.3

Promotions

4.6

Work satisfaction

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