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TCS Senior Data Analyst Interview Questions and Answers

Updated 8 Dec 2024

TCS Senior Data Analyst Interview Experiences

5 interviews found

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

I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. About ETL performance and mapping
  • Q2. About SQL advanced Query

Interview Preparation Tips

Interview preparation tips for other job seekers - Do have basic pratical exprience. And practise scenario based questions.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed before Dec 2023. There was 1 interview round.

Round 1 - One-on-one 

(3 Questions)

  • Q1. Why you select tcs?
  • Q2. What is your expectations in tcs?
  • Q3. How many day you need to learn tcs process?

Interview Preparation Tips

Interview preparation tips for other job seekers - See everyone have knowledge. Definately we will get good and settled job. Don t think negatively. One thing we need to do that is We improve our knowledge ever day. That is important. Also apply jobs regularly.

Senior Data Analyst Interview Questions Asked at Other Companies

Q1. What is the difference between Least Squares Method and the maxim ... read more
Q2. How do you improve the performance of Linear Regression
asked in Proftware
Q3. Imagine you are presented with a complex dataset from a multinati ... read more
Q4. How do you handle overfitting and underfitting in Decision Trees
Q5. What metrics do you use to evaluate classification models
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Nov 2023. There was 1 interview round.

Round 1 - Aptitude Test 

Sql, Datastage and Linux

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

I applied via Job Fair and was interviewed before Oct 2022. There were 2 interview rounds.

Round 1 - Coding Test 

Easy to medium SQL queries
Easy Python

Round 2 - HR 

(1 Question)

  • Q1. Why you would be a best fit for this role

TCS interview questions for designations

 Senior Data Scientist

 (2)

 Data Scientist

 (35)

 Jr. Data Scientist

 (7)

 Lead Data Scientist

 (2)

 Data Science Intern

 (2)

 Data Analyst

 (66)

 Business Intelligence Analyst

 (2)

 Junior Data Analyst

 (5)

I applied via Naukri.com and was interviewed before May 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. What is diff between where clause and if condition in SAS?
  • Ans. 

    Where clause filters data in SAS while if condition filters data in a program.

    • Where clause is used in SAS to filter data based on certain conditions.

    • If condition is used in a program to filter data based on certain conditions.

    • Where clause is used in conjunction with data steps and procedures in SAS.

    • If condition is used in programming languages like SAS, Python, etc.

    • Where clause is used to subset data based on certain c...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare all notes before attend the interview.
Be confident in interview.

Skills evaluated in this interview

Interview questions from similar companies

I appeared for an interview before Jun 2016.

Interview Preparation Tips

Round: Video interview
Experience: Tell about why to join cognizant

Skills: Communication Networks, Communication

Interview Questionnaire 

3 Questions

  • Q1. What is autocorrelation?
  • Ans. 

    Autocorrelation is the correlation of a signal with a delayed copy of itself.

    • Autocorrelation is used to identify patterns in time series data.

    • It is a measure of how similar a signal is to a delayed version of itself.

    • Autocorrelation can be positive, negative, or zero.

    • It is commonly used in signal processing, finance, and econometrics.

    • Autocorrelation can be visualized using a correlogram.

  • Answered by AI
  • Q2. What is heteroscedasticity?
  • Ans. 

    Heteroscedasticity is a statistical term that refers to the unequal variance of a variable across different levels of another variable.

    • It is a violation of the assumption of homoscedasticity in regression analysis.

    • It can lead to biased and inefficient estimates of regression coefficients.

    • It can be detected through residual plots or statistical tests such as the Breusch-Pagan test.

    • Examples include income and expenditure...

  • Answered by AI
  • Q3. How do they affect your data analysis?
  • Ans. 

    Data analysis is affected by various factors that can influence the accuracy and reliability of the results.

    • Data quality: The accuracy, completeness, and consistency of the data can impact the analysis.

    • Data sources: The reliability and relevance of the data sources used for analysis can affect the outcomes.

    • Data preprocessing: The way data is cleaned, transformed, and prepared for analysis can impact the results.

    • Data in...

  • Answered by AI

Interview Preparation Tips

Round: Technical + HR Interview
Experience: Most of the questions was based on statistical modelling as the position they were hiring for was business analyst which requires statistical modelling and its business applications.
Tips: Always try to apply your statistical knowledge to the businesses around you. How you can improve that or apply it for better usage.

College Name: Institute of Management Technology

I applied via Walk-in and was interviewed before Feb 2020. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Where you see yourself after 5 years

Interview Preparation Tips

Interview preparation tips for other job seekers - Just be confident whatever u say. This one thing is enough to get judge by interviewer

I applied via Approached by Company and was interviewed in Nov 2018. There were 4 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. Questions were asked on what was written on resume
  • Q2. Questions were also asked on testing
  • Q3. Complete questions from payments flow and swift msg

Interview Preparation Tips

General Tips: Be aware of what you write on your resume and be confident while answering for the questions.
Skills: Communication, Body Language, Analytical Skills
Duration: <1 week

I applied via Walk-in and was interviewed before Aug 2020. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What are your client impressing skills?
  • Q2. Show us a live demo of a deal negotiation.

Interview Preparation Tips

Interview preparation tips for other job seekers - Dont try to be oversmart

TCS Interview FAQs

How many rounds are there in TCS Senior Data Analyst interview?
TCS interview process usually has 1-2 rounds. The most common rounds in the TCS interview process are Technical, Resume Shortlist and Coding Test.
How to prepare for TCS Senior 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 TCS. The most common topics and skills that interviewers at TCS expect are Data Warehousing, SQL, Banking, Data Analysis and Data Dictionary.
What are the top questions asked in TCS Senior Data Analyst interview?

Some of the top questions asked at the TCS Senior Data Analyst interview -

  1. What is diff between where clause and if condition in S...read more
  2. How many day you need to learn tcs proce...read more
  3. What is your expectations in t...read more

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TCS Senior Data Analyst Interview Process

based on 6 interviews

Interview experience

3.3
  
Average
View more
TCS Senior Data Analyst Salary
based on 303 salaries
₹2.8 L/yr - ₹13 L/yr
36% less than the average Senior Data Analyst Salary in India
View more details

TCS Senior Data Analyst Reviews and Ratings

based on 20 reviews

3.4/5

Rating in categories

3.0

Skill development

3.1

Work-life balance

2.4

Salary

3.5

Job security

3.1

Company culture

2.4

Promotions

3.1

Work satisfaction

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