Skip to main content

Data Analysis Interview Question Basic+Adv


1.    Behavioral Questions:

·     Tell me about a time when you had to analyze a large set of data. How did you approach it, and what was the outcome?

·       Describe a situation where you had to work on a project with tight deadlines. How did you prioritize your tasks?

·       Can you discuss a time when you faced a significant challenge while working in a team? How did you handle it?

2.    Analytical Questions:

·       How would you determine the success of a new product launch on Amazon?

·       If given sales data, how would you identify trends and make recommendations to improve sales performance?

·       How would you assess the impact of changes in pricing on customer behavior and sales?

3.    Case Study/Problem-Solving Scenarios:

·       Analyze a dataset showing customer purchase behavior on Amazon and suggest strategies to increase customer engagement or retention.

·       Given fluctuating sales figures for a particular product category, what factors would you consider to understand these fluctuations and propose solutions?

4.    Technical Questions:

·       What data analysis tools or software are you proficient in? Can you provide an example of how you used these tools in a previous project?

·       Explain a statistical or analytical method you've used in the past to derive insights from data.

Part-1 Questions:

  • What do you believe are the fundamental soft and hard skills needed as a data analytics professional?
  • How would your current/previous supervisor or colleagues describe you?
  • What do you enjoy most about data analytics? Is there anything you like least?
  • What are your career goals?
  • What professional achievement are you most proud to have achieved?
  • How well do you work in high-pressure situations?
  • What is your ideal work environment?
  • What are some of your interests or hobbies?
  • Why do you want to work for our organization as a data analytics professional?
  • What data analytics tasks or responsibilities do you think are most important to our organization?
  • What do you do to keep up with data trends?
  • Describe the steps involved in a data analytics project.
  • Define data cleansing and tell me about some of its best practices.
  • Define outliers and explain how to detect them.
  • Explain the differences between data profiling and data mining
Part-2 Questions:

  • Tell me about your professional background or experience in data analytics.
  • What data analytics certifications or training have you received?
  • What is the largest set of data you have ever worked with?
  • Tell me about a time when you disagreed with a supervisor or teammate and how you managed it.
  • Do you have experience making data analytics presentations to stakeholders?
  • What experience do you have with databases and data engineering?
  • What data analysis tools do you have experience using?
  • What scripting languages do you have experience using? Is there one you enjoy using most?
  • What are your strengths as a data analytics professional?
  • What are your weaknesses as a data analytics professional? What have you done to overcome those weaknesses?
  • How have you used statistical models to solve business problems?
  • Define clustering and explain what properties a clustering algorithm includes.
  • What is imputation? Describe the different types of imputation techniques you have used.
  • What is a hash table collision? How do you prevent it from happening?
  • What are some of the common challenges you encounter as a data analytics professional?
Part-3 Questions:
  • How would you handle a situation where you receive a data set that you believe has suspicious or missing data?
  • Tell me about a significant data analytics project you worked on and how the insights you gained from it benefited your team or organization.
  • Describe the steps you take during the data exploration process.
  • Describe the steps you take during the data preparation process.
  • What is logistic regression? What methods do you use to assess logistic regression analysis results?
  • Tell me about the most recent data analytics project you worked on and the core steps you took to complete it.
  • Which steps of a data analytics project do you enjoy working on most and why?
  • What data analytics tools did you use on your most recent project, and why did you choose them?
  • Tell me about a challenging data analytics project you worked on and how you overcame those challenges or learned from them.
  • At this job, you may often collaborate with colleagues or stakeholders who do not have a technical background in data analytics. What experience do you have explaining complicated or technical ideas in similar situations?
  • How do you determine which statistical methods to use when analyzing data?
  • Describe a time when you failed to meet a deadline. What did you learn from that experience?
  • Describe a time when you had to persuade others to follow your idea or recommendation. How did you gain buy-in?
  • What is your decision-making process when creating data visualizations for clients or stakeholders?
  • What steps have you taken to improve your analytics knowledge or skills in the past year?
logical questions:

  • "What is the sum when you total the numbers one to 100?"
  • "What is the angle between the hour and minute hand on a clock at 9 a.m.?"
  • "In this series, which number is next: 2, 1, 3, 2, 4, 3?"
  • "In this series, which number is next: 2, 1, (1/2), (1/4)?"
  • "In this series, what letter is next: Y, Z, V, W, S, T, P, Q?"
  • "Which verb does not belong in this list: Fight, Teach, Think, Draw, Catch, Buy"
  • "Imagine you are at the bottom of a six-meter wall. Each hour you climb a meter but slide down two. How long until you reach the top?"
  • "How can a farmer safely cross the river with a fox, chicken, and bag of corn if he can only bring one item at a time?"
  • "How do you best test a calculator?"
  • "How many traffic lights are there total in India?"
  • "How many barbers are there in Mumbai?"
  • "How many goats are in New Delhi?"
  • "How many trees are in Gir National Park?"
  • "How many liters does it take to paint the Taj Mahal?"
  • "Which meal does this represent: FAST?"
  • "How is it possible for a doctor's son's father not to be a doctor?"
  • "A farmer has 15 goats and all but nine die. How many remain?"
  • "A doctor says take these three pills, one at each half-hour. How many minutes total until you are done?"
  • "A man is dead in the middle of a field, in a puddle, wearing a wetsuit. How did he pass away?"
  • "A woman born in 1945 is only 30 years old right now—how is it possible?"
  • "What has four legs but only one foot?"
  • "How many basketballs fit on a school bus?"
  • "How would you benefit from carrying scissors with you like a pizza delivery man?"
  • "How many kilograms of potatoes do fast-food chains in India sell in a year for french fries?"
  • "How can you tell if the light inside a refrigerator is on or off?"


Popular posts from this blog

Bytemetrics Solutions Internship 2024 For Data Analyst / Analysis | Work From Home

  Bytemetrics Solutions Internship 2024:  Bytemetrics Solutions Internship 2024 for its Data Analyst / Analysis. Bytemetrics Solutions Internship Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Graduate. if you are interested, please apply as soon as possible. Company Name: Bytemetrics Solutions Role: Data Analyst / Analysis Location: Remote Experience: 0 – 1 years Qualification: Graduate Batch: Any Job Type: Full Time Salary: INR 400,000 – 500,000 Bytemetrics Solutions Internship 2024 Job Description: As a Data Analyst at Color Paper India Pvt Ltd you will have the opportunity to gain hands-on experience in data analysis and contribute to real-world projects. Requirements: Currently enrolled in or recent graduate of a relevant academic program. Strong analytical skills with attention to detail. Proficiency in data analysis tools such as Excel, SQL, or Python (preferred but not required). Excellent communication and teamwork skills. Abi

PubMatic Recruitment 2024 for Software Engineer – Data Analytics

PubMatic Recruitment 2024 for its Software Engineer – Data Analytics, PubMatic Drive is organizing Off Campus Drive for candidates in the 2023 Batch. In order to apply, candidates should have a degree in B.E/B.Tech/MCA Degree. If you are interested, Please apply as soon as possible. Company Name: PubMatic Role: Software Engineer – Data Analytics Location: Pune Experience: Freshers Qualification: B.E/B.Tech/MCA Batch: 2023 Batch Job Type: Full Time Salary: Rs.10LPA(Expected) PubMatic Recruitment 2024 Job Description: PubMatic is hiring candidates who can design and implement next-generation highly scalable, distributed, and low-latency applications. If you get excited building applications and architecture to handle 100’s billions of requests per day, managing millions of requests per second with a creative and fast-paced work environment, competitive pay, great incentives, a culture of teamwork, smart and friendly colleagues, and plenty of opportunity to grow in your career then you sh