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HP India Data Analyst Interview Questions and Answers

Updated 1 Jan 2025

HP India Data Analyst Interview Experiences

3 interviews found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 1 Jan 2025

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
-
Result
No response

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

Round 1 - Technical 

(1 Question)

  • Q1. All the questions was based on the previous experience

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 13 Sep 2023

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

I applied via Naukri.com and was interviewed in Mar 2023. There were 2 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 - Technical 

(2 Questions)

  • Q1. Knowledge of sql
  • Q2. Analytics solutions

Interview Preparation Tips

Interview preparation tips for other job seekers - Knowledge on SQL and analytics

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Data Analyst Interview Questions & Answers

user image Anonymous

posted on 3 Dec 2021

I applied via Walk-in and was interviewed before Dec 2020. There were 2 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Software Engineer in Data Analyst I want to work in a company that challenges my skills provides the opportunity to learn and improve my skills to the growth along with the company
  • Q2. I wish we had a larger training budget

Interview Preparation Tips

Topics to prepare for HP India Data Analyst interview:
  • Data Analyst
Interview preparation tips for other job seekers - I hearing impaired want to work success in a job seeker my working several freelance project while actively job seeking

Interview questions from similar companies

I applied via Recruitment Consulltant and was interviewed before Jul 2021. There was 1 interview round.

Round 1 - One-on-one 

(1 Question)

  • Q1. Tell me about the tool you worked on?
  • Ans. 

    I worked on a data visualization tool for tracking sales performance.

    • The tool was built using Tableau and SQL.

    • It allowed users to view sales data by region, product, and time period.

    • Users could also create custom dashboards and reports.

    • The tool helped identify trends and opportunities for improvement.

    • I collaborated with the sales team to ensure the tool met their needs.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Just tell about the flow of the tool and answer honestly.

Interview Questionnaire 

2 Questions

  • Q1. What is Data
  • Ans. 

    Data is a collection of facts, figures, or statistics that can be analyzed to gain insights and make informed decisions.

    • Data can be structured or unstructured

    • Data can be qualitative or quantitative

    • Examples of data include customer demographics, sales figures, and website traffic

    • Data can be analyzed using various tools and techniques to extract meaningful insights

  • Answered by AI
  • Q2. Data types

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is an inactive relationship in PBI
  • Ans. 

    An inactive relationship in Power BI is a relationship that is not being used in any visualizations or calculations.

    • Inactive relationships can occur when a relationship is created but not utilized in any measures or visuals.

    • These relationships do not impact the data model or query performance, but can clutter the model view.

    • To remove an inactive relationship, you can delete it from the relationship view in Power BI.

    • Ina...

  • Answered by AI
  • Q2. Import vs Direct Query vs Live connection
  • Ans. 

    Import vs Direct Query vs Live connection

    • Import: Data is imported into the tool for analysis, suitable for small datasets or when real-time data is not required

    • Direct Query: Data is queried directly from the source in real-time, suitable for large datasets or when up-to-date data is needed

    • Live connection: Data is connected live to the source, allowing for real-time updates and analysis without storing data locally

  • Answered by AI

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
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Couple of leetcode medium questions (i think it was around 3 questions) and they had their own platform
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about the project you have worked recently
  • Ans. 

    Developed a predictive analytics model to forecast customer churn for a telecom company

    • Used Python and SQL to clean and analyze customer data

    • Implemented machine learning algorithms such as logistic regression and random forest

    • Evaluated model performance using metrics like accuracy, precision, and recall

  • Answered by AI
  • Q2. What kind of forecasting have you done
  • Ans. 

    I have experience in time series forecasting using statistical models and machine learning algorithms.

    • Utilized ARIMA model to forecast sales data for a retail company

    • Implemented Prophet algorithm to predict stock prices for a financial institution

    • Used LSTM neural network for demand forecasting in supply chain management

  • Answered by AI
Round 2 - Assignment 

Excel assessment- was made to make a report from multiple sheets

I applied via Naukri.com and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Question were fairly technical.

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on the basics , work on the project and be clear about that.

HP India Interview FAQs

How many rounds are there in HP India Data Analyst interview?
HP India interview process usually has 1-2 rounds. The most common rounds in the HP India interview process are Technical and Resume Shortlist.
How to prepare for HP India 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 HP India. The most common topics and skills that interviewers at HP India expect are Accounting, Auditing, Corporate Finance, Data Analysis and Direct Tax.
What are the top questions asked in HP India Data Analyst interview?

Some of the top questions asked at the HP India Data Analyst interview -

  1. Software Engineer in Data Analyst I want to work in a company that challenges m...read more
  2. All the questions was based on the previous experie...read more
  3. Analytics soluti...read more

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HP India Data Analyst Interview Process

based on 3 interviews

Interview experience

4
  
Good
View more
HP India Data Analyst Salary
based on 37 salaries
₹3 L/yr - ₹12 L/yr
13% more than the average Data Analyst Salary in India
View more details

HP India Data Analyst Reviews and Ratings

based on 9 reviews

4.3/5

Rating in categories

4.2

Skill development

4.5

Work-life balance

3.2

Salary

4.1

Job security

4.7

Company culture

2.5

Promotions

4.4

Work satisfaction

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