Infosys Data Analyst Interview Questions & Experience Guide

Interview Preparation
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Infosys Data Analyst Interview Questions & Experience Guide

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Company Name: Infosys

Position: Data Analyst

Location: [Not specified]

Application Process: Applied via the company website in April 2021.

Interview Rounds:

  • Round 1 - HR Interview:
    • Questions Asked:
      • Why should we hire you?
    • Your Approach: I focused on highlighting my relevant skills, experience, and enthusiasm for the role. I also emphasized how my background aligns with the company’s needs.
    • Outcome: Successfully cleared the round.

Preparation Tips:

  • Stay calm and composed during the interview.
  • Confidence is key—trust your instincts and present yourself well.

Conclusion:
The interview was a positive experience. Being confident and well-prepared helped me perform well. For future candidates, I’d advise focusing on your strengths and staying relaxed during the process.

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Company Name: Infosys

Position: Data Analyst

Location: [Not specified]

Application Process: I applied through the company website in April 2021.

Interview Rounds:

  • Round 1 - HR Interview:
    • Questions Asked:
      • “What skills do you have to contribute to Infosys?”
    • Your Approach: I highlighted my technical skills relevant to the Data Analyst role and emphasized my ability to adapt and learn quickly.
    • Outcome: The round went well, and I received positive feedback.

Preparation Tips:

  • Be honest and confident in your responses. Even if you’re unsure, present your thoughts clearly.
  • Focus on showcasing your skills and how they align with the job requirements.

Conclusion:
Overall, the interview was a great learning experience. I realized the importance of being concise and clear in my answers. For future candidates, I’d advise preparing well about the company and role, and always staying confident during the interview.

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Company Name: Infosys

Position: Data Analyst

Location: [Location not specified]

Application Process: [Application process details not provided]

Interview Rounds:

  • Round 1 - Technical Interview:
    • Questions Asked:
      • Can you explain your understanding of data science?
    • Your Approach:
      • I provided a concise definition of data science and elaborated on its key components, such as data collection, analysis, and interpretation. I also mentioned its applications in real-world scenarios.
    • Outcome:
      • Successfully cleared the round.

Preparation Tips:

  • Focus on Tableau and machine learning concepts as they are crucial for the role.
  • Practice data validation, visualization, and ETL processes.
  • Familiarize yourself with tools like Excel, HL7, Kafka, and project management techniques.

Conclusion:

  • The interview was a great learning experience. I realized the importance of being well-versed in both theoretical and practical aspects of data analysis. For future candidates, I recommend focusing on hands-on projects to showcase your skills effectively.
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Company Name: Infosys

Position: Data Analyst

Location: [Not specified]

Application Process: I applied via a walk-in interview before June 2020.

Interview Rounds:

  • Round 1 - Aptitude Test:
  • Questions Asked: Questions related to data tools.
  • Your Approach: I focused on understanding the basics of data tools and their applications.
  • Outcome: Cleared the round successfully.

Preparation Tips:

  • Get a referral if possible, as it can increase your chances of being shortlisted.
  • Brush up on key skills like GCP, AWS, Agile, Big Data, SQL, Team Management, Azure, and DevOps.

Conclusion:
The interview process was straightforward, and the aptitude test was manageable with basic preparation. I would recommend focusing on the skills mentioned above and ensuring you have a good grasp of data tools for this role.

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Company Name: Infosys

Position: Data Analyst

Application Process: I applied for the Data Analyst position at Infosys through a job portal. The interview process took place before September 2020.

Interview Rounds:

  • Round 1 - Technical Interview:

    • Questions Asked:
      • What does the role of a Data Analyst entail?
    • Your Approach: I explained the responsibilities of a Data Analyst, including data collection, cleaning, analysis, and visualization, along with how insights derived from data can drive business decisions.
    • Outcome: I successfully cleared this round.

  • Round 2 - HR Interview:

    • Questions Asked:
      • General HR questions about my background, experience, and motivation for applying to Infosys.
    • Your Approach: I answered honestly, highlighting my skills and enthusiasm for the role.
    • Outcome: I passed this round as well.

  • Round 3 - Final Interview:

    • Questions Asked:
      • More in-depth technical questions about tools and methodologies used in data analysis.
    • Your Approach: I discussed my familiarity with tools like Python, data modeling, and SDLC, and how I apply them in real-world scenarios.
    • Outcome: I cleared this round and received the offer.

Preparation Tips:

  • Focus on understanding the core responsibilities of a Data Analyst.
  • Brush up on technical skills like Python, data modeling, and SDLC.
  • Be prepared to discuss real-world applications of data analysis.

Conclusion:
The interview process at Infosys was thorough but fair. I felt well-prepared for the technical rounds, but I could have practiced more on articulating my thoughts clearly during the HR round. My advice to future candidates is to thoroughly understand the role and be confident in discussing your skills and experiences.

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Company Name: Infosys

Position: Data Analyst

Application Process: I applied via a referral and was interviewed in February 2022.

Interview Rounds:

  • Round 1 - Technical Round:

    • Questions Asked: Mostly on Base SAS knowledge.
    • Your Approach: I focused on revising key concepts of Base SAS, including data manipulation and basic procedures.
    • Outcome: Cleared the round successfully.

  • Round 2 - HR Round:

    • Questions Asked: Compensation-related questions.
    • Your Approach: I was honest about my expectations and also researched industry standards beforehand.
    • Outcome: The discussion went smoothly, and I received positive feedback.

Preparation Tips:

  • Try to improve both domain knowledge and technical skills, especially in tools like Base SAS.

Conclusion:
Overall, the interview process was straightforward. I felt well-prepared for the technical round, and the HR round was more about aligning expectations. My advice to future candidates is to thoroughly understand the tools and concepts relevant to the role and be clear about your compensation expectations.

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Company Name: Infosys

Position: Data Analyst

Application Process: Applied through campus placement.

Interview Rounds:

  • Round 1 - Coding Test:

    • Questions Asked: Focused on Data Structures and Algorithms.
    • Your Approach: Prepared by strengthening my knowledge of Data Structures and Algorithms and practiced coding in my preferred programming language.
    • Outcome: Cleared the round successfully.

  • Round 2 - One-on-One Interview:

    • Questions Asked: General questions about my attitude and curiosity to learn.
    • Your Approach: Stayed positive and emphasized my eagerness to learn and adapt.
    • Outcome: Performed well and received positive feedback.

Preparation Tips:

  • Focus on Data Structures and Algorithms and be proficient in at least one programming language.
  • Interviewers value curiosity and a positive attitude more than just knowledge, so always stay eager to learn.

Conclusion:
The overall experience was great. I realized that being confident and showing a willingness to learn can make a big difference. For future candidates, my advice is to stay positive and curious—it goes a long way!

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Company Name: Infosys

Position: Data Analyst

Application Process: I applied for the Data Analyst position at Infosys through LinkedIn and was interviewed before November 2020.

Interview Rounds:

  • Round 1 - Technical Interview:

    • Questions Asked:
      • Can you provide a real-life example of the usage of Window functions like lag and lead?
    • Your Approach: I explained how lag and lead functions can be used in analyzing time-series data, such as tracking sales performance month-over-month or identifying trends in customer behavior.
    • Outcome: I passed this round and moved on to the next stage.

  • Round 2 - HR Interview:

    • Questions Asked:
      • Tell me about yourself.
      • Why do you want to work at Infosys?
      • How do you handle working under pressure?
    • Your Approach: I kept my answers concise and focused on my skills, enthusiasm for the role, and adaptability.
    • Outcome: I successfully cleared this round.

  • Round 3 - Case Study:

    • Questions Asked:
      • Given a dataset, how would you analyze customer churn?
      • What metrics would you track to measure the success of a marketing campaign?
    • Your Approach: I outlined a step-by-step approach, including data cleaning, exploratory analysis, and using predictive modeling to identify churn factors. For the marketing campaign, I suggested tracking conversion rates, ROI, and customer engagement metrics.
    • Outcome: I performed well and advanced to the final round.

  • Round 4 - Final Interview:

    • Questions Asked:
      • How do you stay updated with the latest trends in data analytics?
      • Describe a challenging project you worked on and how you overcame obstacles.
    • Your Approach: I shared my learning habits, such as following industry blogs and taking online courses. For the project question, I highlighted a specific example and my problem-solving process.
    • Outcome: I received positive feedback and was selected for the role.

Preparation Tips:

  • Be well-prepared with SQL and technical concepts, especially Window functions.
  • Practice explaining your thought process clearly during case studies.
  • Don’t hesitate to communicate openly during interviews; confidence in speaking matters.

Conclusion:
Overall, the interview process at Infosys was thorough but fair. I felt well-prepared for the technical rounds, but I realized the importance of articulating my thoughts clearly during the case study and HR rounds. My advice to future candidates is to balance technical preparation with strong communication skills.

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Company Name: Infosys

Position: Data Analyst

Application Process: I was interviewed in August 2017. The process included 3 rounds: Group Discussion, Aptitude Test, and an Interview.

Interview Rounds:

  • Round 1 - Group Discussion:

    • Experience: Everyone was encouraged to put forward their views. The key was to participate actively.
    • Tips: Just speak up—no one is really listening closely, so confidence matters more than content.
    • Duration: 5 minutes
    • Outcome: Passed

  • Round 2 - Aptitude Test:

    • Experience: This was an online test with a variety of questions.
    • Tips: Prioritize solving questions that don’t require pen and paper first to save time.
    • Duration: 5 minutes
    • Total Questions: 50
    • Outcome: Passed

  • Round 3 - Interview:

    • Skills Tested: Relieving pressure, client interfacing, design development, documentation, engineering services, management systems, software configuration management, technology solutions, and troubleshooting.
    • Outcome: Passed

Preparation Tips:

  • Focus on quick problem-solving techniques for the aptitude test.
  • For group discussions, practice speaking confidently even if the content isn’t perfect.
  • Brush up on technical skills relevant to data analysis, especially those listed in the interview round.

Conclusion:
The interview process was straightforward but required quick thinking and confidence. The key was to stay calm under pressure and prioritize efficiency in the aptitude test. For future candidates, I’d recommend practicing mock group discussions and timed aptitude tests to build confidence.

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Company Name: Infosys

Position: Data Analyst

Application Process: I applied for the position through an online platform and was interviewed in February 2022.

Interview Rounds:

  • Round 1 - HR Round:

    • Questions Asked:
      1. What are your salary expectations?
      2. Tell me about yourself.
    • Your Approach: I answered honestly about my salary expectations, ensuring they aligned with industry standards. For the “Tell me about yourself” question, I highlighted my relevant skills and experiences concisely.
    • Outcome: I successfully cleared this round.

  • Round 2 - HR Round:

    • Questions Asked:
      1. Share details of your previous job.
    • Your Approach: I provided a brief overview of my previous role, focusing on responsibilities and achievements relevant to the Data Analyst position.
    • Outcome: I advanced to the next stage after this round.

Preparation Tips:

  • Focus on data processing skills and be prepared to discuss your previous work experience in detail.
  • Brush up on key technologies like GCP, AWS, Agile, Big Data, SQL, Team Management, Azure, and DevOps, as these are highly recommended for the role.

Conclusion:
The interview process was smooth, and the HR rounds were straightforward. I ensured I was clear and concise in my responses. For future candidates, I recommend being well-prepared to discuss your previous roles and aligning your answers with the job requirements.

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Company Name: Infosys

Position: Data Analyst

Location: [Not specified]

Application Process: I applied through the company website in April 2022.

Interview Rounds:

  • Round 1 - Resume Shortlist:

    • Questions Asked: No specific questions were asked in this round. The focus was on reviewing my resume.
    • Your Approach: I ensured my resume was concise and highlighted relevant skills like SQL, Python, and data modeling.
    • Outcome: My resume was shortlisted for the next round.

  • Round 2 - Aptitude Test:

    • Questions Asked: General discussion and questions about GitLab and coding basics.
    • Your Approach: I brushed up on my coding fundamentals and familiarized myself with GitLab basics.
    • Outcome: I successfully cleared this round.

Preparation Tips:

  • Learn SQL and Python thoroughly as they are essential for this role.
  • Focus on data modeling and warehousing concepts.

Conclusion:
Overall, the interview process was smooth. I would advise future candidates to ensure their resumes are well-structured and to focus on mastering the technical skills required for the role.

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Company Name: Infosys

Position: Data Analyst

Location: [Not specified]

Application Process: Applied via a recruitment consultant and interviewed in March 2021.

Interview Rounds:

  • Round 1 - Technical Interview:

  • Questions Asked:

    • Tell about visualization tools.
    • Compare BI vs Tableau vs Snowflake.

  • Your Approach:

    • For the visualization tools question, I discussed tools like Tableau, Power BI, and their use cases.
    • For the comparison question, I highlighted the differences in features, scalability, and use cases for each tool.

  • Outcome:

    • The round went okay, but the interviewer seemed uninterested.

Preparation Tips:

  • Nothing interesting. Felt like a waste of time as the offer was less than my current CTC.

Conclusion:

  • The overall experience was underwhelming. The questions were standard, but the process lacked engagement. My advice would be to clarify the salary expectations upfront if you’re considering Infosys for a Data Analyst role.
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Company Name: Infosys

Position: Data Analyst

Location: [Not specified]

Application Process: Applied via campus placement before June 2021.

Interview Rounds:

  • Round 1 - Resume Shortlist:

    • Questions Asked: Resume was reviewed for skills and qualifications.
    • Your Approach: Ensured the resume was crisp and highlighted relevant skills.
    • Outcome: Successfully shortlisted for the next round.

  • Round 2 - Aptitude Test:

    • Questions Asked: Logical reasoning, verbal, and mathematical questions.
    • Your Approach: Prepared by practicing aptitude questions and improving time management.
    • Outcome: Cleared the test and moved to the technical round.

  • Round 3 - Technical Round:

    • Questions Asked:
      1. Questions based on the skills mentioned in the resume.
      2. Basic concepts like “What is C?” and “What is C++?”
    • Your Approach: Revised technical skills and prepared to explain concepts clearly.
    • Outcome: Answered confidently and advanced to the HR round.

  • Round 4 - HR Round:

    • Questions Asked:
      1. Questions about hobbies.
      2. “Why do you want to join our company?”
    • Your Approach: Stayed honest and enthusiastic while answering.
    • Outcome: Successfully cleared the HR round.

Preparation Tips:

  • Keep your skills updated.
  • Improve communication skills and maintain a positive attitude.

Conclusion:
The overall experience was smooth and well-structured. Preparing for aptitude tests and revising technical concepts helped a lot. For future candidates, focus on clarity in communication and confidence in your answers.

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Company Name: Infosys

Position: Data Analyst

Location: Not specified

Application Process: I applied for the Data Analyst position at Infosys through Naukri.com in December 2021.

Interview Rounds:

  • Round 1 - Resume Shortlist:

    • Questions Asked: No specific questions were asked in this round. The focus was on reviewing my resume for alignment with the role.
    • Your Approach: I ensured my resume was well-structured and highlighted relevant skills and experiences for the Data Analyst role.
    • Outcome: My resume was shortlisted, and I moved to the next round.

  • Round 2 - Aptitude Test:

    • Questions Asked: The test included questions to assess my aptitude and problem-solving skills.
    • Your Approach: I practiced aptitude questions beforehand to improve my speed and accuracy.
    • Outcome: I performed well in the test and cleared this round.

Preparation Tips:

  • Focus on improving communication and language skills, as they are crucial for interviews.
  • Practice aptitude tests to enhance problem-solving abilities.
  • Ensure your resume is well-formatted and tailored to the job role.

Conclusion:
Overall, the interview process was smooth, and I felt well-prepared. I would advise future candidates to work on their resume presentation and practice aptitude tests thoroughly to increase their chances of success.

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Company Name: Infosys

Position: Data Analyst

Location: Not specified

Application Process: Applied via Naukri.com and was interviewed in December 2020.

Interview Rounds:

  • Round 1 - Technical:

  • Questions Asked:

    • What is your opinion about the company?
    • What is your opinion about the Indian economy?
    • How to increase India’s economy?

  • Your Approach: Answered honestly and confidently, providing insights based on my understanding of the company and the economy.

  • Outcome: Passed

  • Round 2 - HR:

  • Questions Asked: Not specified.

  • Your Approach: Maintained professionalism and clarity in responses.

  • Outcome: Passed

  • Round 3 - Group Discussion:

  • Questions Asked: Not specified.

  • Your Approach: Actively participated and contributed relevant points.

  • Outcome: Passed

  • Round 4 - Aptitude Test:

  • Questions Asked: Not specified.

  • Your Approach: Solved problems systematically and managed time effectively.

  • Outcome: Passed

  • Round 5 - Interview:

  • Questions Asked: Not specified.

  • Your Approach: Stayed composed and answered questions clearly.

  • Outcome: Passed

Preparation Tips:

  • Don’t fear, be free, and answer all questions confidently.

Conclusion:
The interview process was comprehensive, covering technical, HR, group discussion, aptitude, and final interview rounds. Staying confident and honest in responses helped me succeed. For future candidates, I recommend thorough preparation and maintaining a calm demeanor throughout the process.

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Company Name: Infosys

Position: Data Analyst

Application Process: I applied via the company website and was interviewed in May 2021.

Interview Rounds:

  • Round 1 - Technical:

    • Questions Asked:
      • About data analyst.
      • What is the work given for freshers as data analyst?
      • How much salary expected CTC for freshers?
      • How much salary is expected salary/month?
      • How company treated a person?
      • Yes, I want to know about the company.
      • What is the work given for freshers as business development manager?
    • Your Approach: I answered based on my understanding of the role and my expectations as a fresher.
    • Outcome: Cleared the round.

  • Round 2 - HR:

    • Questions Asked: Similar to the technical round, with additional focus on my expectations and fit for the company.
    • Your Approach: I emphasized my enthusiasm for the role and willingness to learn.
    • Outcome: Cleared the round.

  • Round 3 - Group Discussion:

    • Questions Asked: Topics related to data analysis and teamwork.
    • Your Approach: I actively participated and shared my views while listening to others.
    • Outcome: Cleared the round.

  • Round 4 - Aptitude Test:

    • Questions Asked: General aptitude and logical reasoning questions.
    • Your Approach: I practiced beforehand and managed my time well during the test.
    • Outcome: Cleared the round.

  • Round 5 - Final Interview:

    • Questions Asked: A mix of technical and HR questions to assess overall fit.
    • Your Approach: I stayed confident and honest in my responses.
    • Outcome: Awaiting results.

Preparation Tips:

  • Practice common data analyst interview questions.
  • Brush up on aptitude and logical reasoning.
  • Be clear about your salary expectations and role requirements.

Conclusion:
Overall, the interview process was smooth, and I felt prepared. I would advise future candidates to research the company thoroughly and practice answering common questions confidently.

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Company Name: Infosys

Position: Data Analyst

Application Process: I applied via a recruitment consultant.

Interview Rounds:

  • Round 1 - HR Interview:
    • Questions Asked:
      1. Tell me about yourself.
      2. Why do you want the job?
      3. What are your hobbies?
      4. What are your strengths?
    • Your Approach: I kept my answers concise and relevant, focusing on my skills and experiences that align with the role. For the “Tell me about yourself” question, I highlighted my background in data analysis and my enthusiasm for the field. For strengths, I emphasized my analytical skills and attention to detail.
    • Outcome: I passed this round and moved forward in the process.

Preparation Tips:

  • Speak clearly and vary your tone to show interest.
  • Listen carefully to the questions and let the interviewer finish before answering.
  • If you don’t understand a question, ask for it to be repeated.

Conclusion:
The interview was a great learning experience. I realized the importance of clarity and confidence in communication. For future candidates, I’d advise practicing common HR questions and staying calm during the interview.

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Company Name: Infosys

Position: Data Analyst

Application Process: I applied for the Data Analyst position at Infosys through LinkedIn and was interviewed before November 2020.

Interview Rounds:

  • Round 1 - Technical Interview:

    • Questions Asked:
      • Can you provide a real-life example of using Window functions like lag and lead in SQL?
    • Your Approach: I explained a scenario where I used these functions to analyze time-series data, such as tracking user activity over consecutive days.
    • Outcome: I passed this round.

  • Round 2 - HR Interview:

    • Questions Asked:
      • General HR questions about my background, motivation, and fit for the role.
    • Your Approach: I kept my answers concise and aligned them with the job requirements and company values.
    • Outcome: I advanced to the next round.

  • Round 3 - Case Study:

    • Questions Asked:
      • A case study related to data analysis, where I had to solve a problem using SQL and explain my approach.
    • Your Approach: I structured my solution logically and communicated my thought process clearly.
    • Outcome: I performed well and moved forward.

  • Round 4 - Final Interview:

    • Questions Asked:
      • A mix of technical and behavioral questions, including how I handle challenges and work in a team.
    • Your Approach: I balanced technical accuracy with soft skills, emphasizing collaboration and problem-solving.
    • Outcome: I successfully cleared this round.

Preparation Tips:

  • Be well-prepared with SQL and technical concepts, but don’t neglect communication skills. Confidence in speaking and articulating your thoughts is crucial.

Conclusion:
Overall, the interview process was thorough but fair. I felt well-prepared technically, but I realized the importance of being vocal and clear in my explanations. For future candidates, I’d recommend practicing both technical skills and communication to ace the interviews.