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L&T Technology Services Data Analyst Interview Questions and Answers
L&T Technology Services Data Analyst Interview Experiences
2 interviews found
Anonymous
I applied via Campus Placement and was interviewed in Dec 2024. There were 2 interview rounds.
Basics of mathematical ability and verbal ability
(2 Questions)
- Q1. Introduction - explain projects
- Ans.
I have worked on various data analysis projects involving market research, customer segmentation, and predictive modeling.
Market research project involved analyzing customer demographics and preferences to identify target markets.
Customer segmentation project focused on dividing customers into distinct groups based on behavior and characteristics.
Predictive modeling project used historical data to forecast future trend...
- Q2. Data analytics explain
Selected
I applied via Campus Placement and was interviewed before Apr 2023. There were 2 interview rounds.
(1 Question)
- Q1. Shuffle and merge in Haddop
- Ans.
Shuffle and merge are key processes in Hadoop for distributing data across nodes and combining results.
Shuffle is the process of transferring data from mappers to reducers in Hadoop.
Merge is the process of combining the output from multiple reducers into a single result.
Shuffle and merge are essential for parallel processing and efficient data analysis in Hadoop.
Example: In a word count job, shuffle will group words by...
(1 Question)
- Q1. Why this company?
- Ans.
I admire this company's commitment to data-driven decision-making and its innovative approach to solving real-world problems.
The company's focus on leveraging data analytics to improve customer experiences aligns with my passion for using data to drive insights.
I am impressed by your recent project on predictive analytics, which showcases how data can be used to anticipate market trends.
The collaborative culture here e...
Interview Preparation Tips
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I applied via Naukri.com and was interviewed in Dec 2020. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. What is Company payroll Process
- Ans.
Company payroll process is the system used to manage employee compensation and benefits.
Payroll process includes calculating employee salaries, taxes, and deductions
It also involves managing employee benefits such as health insurance and retirement plans
Payroll process can be done in-house or outsourced to a third-party provider
It is important to ensure compliance with labor laws and regulations
Payroll process can be a...
Interview Preparation Tips
I appeared for an interview in Jul 2017.
Interview Questionnaire
3 Questions
- Q1. Tell me about yourself?
- Ans.
I am a data analyst with a strong background in statistics and programming.
I have a Bachelor's degree in Statistics and have completed several courses in programming languages like Python and SQL.
I have experience working with large datasets and conducting data analysis using statistical techniques.
I am proficient in data visualization tools like Tableau and have created interactive dashboards to present insights.
I hav...
- Q2. Why this company?
- Ans.
I am interested in this company because of its strong reputation in the data analytics industry and its commitment to innovation.
The company has a proven track record of success in the data analytics industry.
It has a strong reputation for delivering high-quality insights and solutions.
The company values innovation and encourages employees to think creatively.
There are opportunities for professional growth and developm...
- Q3. Why do you want to make a career in this field inspite being an engineer?
- Ans.
I am passionate about using data to solve complex problems and make informed decisions.
Data analysis allows me to apply my analytical skills and engineering background to extract valuable insights from data.
I enjoy working with numbers, statistics, and programming, which are all essential skills in the field of data analysis.
Data analysis offers a wide range of opportunities to work on diverse projects and industries, ...
Interview Preparation Tips
Experience: The written test consists of 2 sections. First section is of verbal reasoning which is very easy. And second section consists of data interpretation, quant questions.
Tips: Speed and accuracy are important in this test. Daily practicing of aptitude can get you through the exam.
Duration: 45 minutes
Total Questions: 40
Round: Technical + HR Interview
Experience: After entering the interview room, the first question asked to me was "Walk me through your CV ".After that, I was asked some puzzle questions, one math question and a case study question which was bit difficult. The interviewer was trying to make me stressed by picking one of my strengths and saying that he considers it as my weakness. He was not convinced with whatever I said but in order to overcome above stress be clam and cool. Say what you know without hesitation, be strong, and be yourself. Last but not the least, don't bluff because he will eventually figure it out, even if you bluff say it convincingly.
Tips: Be perfect about what you have written in your CV and just be yourself.
Round: HR Interview
Experience: HR round was very cool . Actually the panel was friendly with me. They asked some common HR questions. That's it about this round.
Tips: Be fluent and develop good communication skills.
College Name: NIT Bhopal
I applied via Job Portal and was interviewed before Nov 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. I was asked about SQL,java excel and tableau questions
Interview Preparation Tips
Selected
I applied via Naukri.com and was interviewed before May 2022. There were 3 interview rounds.
1. Questions from SAS to test coding skill.
2. Questions from stats for Data Analyst.
(1 Question)
- Q1. Past work experience, challenges faced and how i resolved it.
I applied via Naukri.com and was interviewed in Mar 2021. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Explain the project which you worked?
- Ans.
I worked on a project analyzing customer data to identify trends and improve marketing strategies.
Analyzed customer data to identify patterns and trends
Used statistical techniques to segment customers based on their behavior
Developed predictive models to forecast customer behavior
Collaborated with marketing team to implement targeted marketing campaigns
Evaluated the effectiveness of marketing strategies through data an...
Interview Preparation Tips
Selected
I applied via Approached by Company and was interviewed before Feb 2023. There were 2 interview rounds.
(1 Question)
- Q1. Sql basic questions - join , index, optimisation
(1 Question)
- Q1. Basic non technical With director
Focus on data intrepration
(1 Question)
- Q1. Okay but not that tough
I applied via Campus Placement and was interviewed in Oct 2021. There were 4 interview rounds.
Basic cat type questions
(1 Question)
- Q1. Basics about python, some queries about SQL , something about machine learning
(4 Questions)
- Q1. What is your family background?
- Q2. Why are you looking for a change?
- Ans.
I'm seeking new challenges to grow my skills and contribute to innovative projects in a dynamic environment.
Desire for professional growth: I want to expand my skill set and take on more complex data projects.
Seeking a collaborative environment: I thrive in teams that encourage knowledge sharing and innovation.
Interest in new technologies: I'm eager to work with advanced tools and methodologies that can enhance data an...
- Q3. Why should we hire you?
- Ans.
I bring strong analytical skills, relevant experience, and a passion for data-driven decision-making to your team.
Proven experience in data analysis with tools like SQL and Python, demonstrated by a project where I improved reporting efficiency by 30%.
Strong problem-solving skills, exemplified by identifying key trends in sales data that led to a 15% increase in revenue.
Excellent communication skills, allowing me to pr...
- Q4. Tell me about yourself.
- Ans.
I am a data analyst with a passion for transforming data into actionable insights, skilled in SQL, Python, and data visualization.
Educational background in Statistics and Data Science, with a Master's degree from XYZ University.
Experience working with large datasets to identify trends and patterns, such as analyzing patient data to improve healthcare outcomes.
Proficient in SQL for database management and Python for dat...
Interview Preparation Tips
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