Get AmbitionBox App
Faster and better experience!
AmbitionBox
Interview Questions
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
i
TCS
Compare
Filter interviews by
TCS Data Analyst Interview Questions and Answers
17 Interview questions
Arrays have fixed size and homogeneous elements, while lists can dynamically resize and have heterogeneous elements.
Arrays have a fixed size, while lists can dynamically resize.
Arrays store elements of the same data type, while lists can store elements of different data types.
Arrays are accessed by index, while lists are accessed by iterating through elements.
RLS in Power BI stands for Row-Level Security, which allows users to restrict access to certain rows of data based on their role or permissions.
RLS helps in controlling access to data at the row level
It allows users to define security roles and rules to restrict data access
Users can create filters based on roles to limit data visibility
For example, a manager can only see data related to their department using RLS
Data analysis involves collecting, cleaning, processing, analyzing, and interpreting data to extract insights and make informed decisions.
Collect data from various sources
Clean and preprocess data to remove errors and inconsistencies
Perform statistical analysis and data mining techniques
Visualize data using charts, graphs, and dashboards
Interpret results and draw conclusions
Communicate findings to stakeholders
A database is a structured collection of data that is organized and stored for easy access, management, and retrieval.
A database is used to store and manage large amounts of data.
It allows for efficient retrieval and manipulation of data.
Examples of databases include MySQL, Oracle, and MongoDB.
Implicit and explicit measures are two types of assessments used in data analysis to gather information.
Implicit measures are unconscious assessments that are not easily controlled or influenced by the individual being assessed.
Explicit measures are conscious assessments that are directly stated or easily articulated by the individual being assessed.
Implicit measures are often used in psychology to assess attitude...
Procedure to read data involves defining data source, selecting appropriate tools, importing data, and cleaning/preprocessing data.
Identify the data source (e.g. CSV file, database, API)
Select appropriate tools for reading data (e.g. Python pandas library, SQL queries)
Import data into chosen tool (e.g. read_csv() function in pandas)
Clean and preprocess data as needed (e.g. handling missing values, removing duplica...
DAX (Data Analysis Expressions) is a formula language used in Power BI, Excel, and other Microsoft tools for data analysis and calculations.
DAX formulas are used to create calculated columns, measures, and calculated tables in Power BI and Excel.
DAX functions can be used for aggregation, filtering, and manipulating data.
Examples of DAX functions include SUM, AVERAGE, CALCULATE, FILTER, and RELATED.
DAX formulas can...
Developed a complex sales report in SAP BO
Report included multiple data sources and complex calculations
Used advanced visualization techniques to present data
Allowed for drill-down capabilities to analyze sales data at different levels
Included filters and prompts for user customization
Report was automated to run on a regular schedule and distribute to stakeholders
Data management involves organizing, storing, protecting, and maintaining data to ensure its accuracy and accessibility.
Identify the type of data and its source
Establish a data governance framework
Implement data security measures
Use data management tools and software
Regularly backup and archive data
Ensure compliance with data regulations
Monitor data quality and integrity
Provide access to authorized users only
Analytics helps us make data-driven decisions and improve business outcomes.
Analytics provides insights into customer behavior and preferences.
It helps identify trends and patterns in data that can be used to optimize business processes.
Analytics can also be used to measure the effectiveness of marketing campaigns and other initiatives.
It enables businesses to make data-driven decisions that lead to improved outco...
TCS Data Analyst Interview Experiences
70 interviews found
Anonymous
Sql python bigdata hadoop hive spark
1 hour simple coding python sql
(5 Questions)
- Q1. Advantages of sql
- Ans.
SQL allows for efficient data retrieval, manipulation, and analysis in relational databases.
SQL is widely used in querying databases to retrieve specific data.
It allows for data manipulation, such as adding, updating, and deleting records.
SQL can perform complex data analysis tasks, such as aggregations and joins.
It provides a standardized language for interacting with relational databases.
SQL is essential for generati...
- Q2. Advantages of python
- Ans.
Python is a versatile programming language known for its simplicity, readability, and vast library support.
Easy to learn and use, making it ideal for beginners and experienced programmers alike
Extensive library support for data analysis, machine learning, web development, and more
Strong community support with active forums and resources for problem-solving
Cross-platform compatibility allows for seamless integration wit...
- Q3. Spark and its benefits
- Ans.
Spark is a fast and powerful big data processing framework that offers benefits like speed, ease of use, and versatility.
Spark is known for its speed, as it can process data up to 100 times faster than traditional Hadoop MapReduce.
It offers ease of use with high-level APIs in Java, Scala, Python, and SQL, making it accessible to a wide range of users.
Spark is versatile, supporting various workloads such as batch proces...
- Q4. Why to leave the company
- Q5. Huddles of data engineer
- Ans.
Huddles of data engineers refer to collaborative meetings or discussions among data engineers to share insights, solve problems, and make decisions.
Huddles are typically informal and can be scheduled or ad-hoc.
They provide a platform for data engineers to brainstorm, troubleshoot, and exchange ideas.
Huddles may involve reviewing code, discussing data pipelines, or addressing technical challenges.
Effective huddles promo...
Skills evaluated in this interview
I applied via LinkedIn and was interviewed in Oct 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Types of join left right self cross
- Ans.
Types of joins in SQL include left, right, self, and cross joins.
Left join: Returns all records from the left table and the matched records from the right table.
Right join: Returns all records from the right table and the matched records from the left table.
Self join: Joins a table with itself.
Cross join: Returns the Cartesian product of the two tables.
- Q2. Cte in sql and su queries
- Ans.
Common table expressions (CTE) in SQL are temporary result sets that can be referenced within a SELECT, INSERT, UPDATE, or DELETE statement.
CTEs are defined using the WITH keyword followed by a name and a query.
They can be recursive, allowing a query to reference itself.
CTEs improve readability and maintainability of complex queries.
Example: WITH cte AS (SELECT * FROM table_name) SELECT * FROM cte;
Subqueries (SU querie...
(2 Questions)
- Q1. Tell me about yourself
- Q2. Project related
Skills evaluated in this interview
I appeared for an interview in Apr 2025, where I was asked the following questions.
- Q1. Why do you want to become an online educator at Planet Spark?
- Ans.
I aspire to become an online educator at Planet Spark to inspire young minds and share my passion for data analysis.
Passion for Education: I believe in the power of education to transform lives, and I want to contribute to that by teaching data analysis.
Engaging Learning Environment: Planet Spark's innovative approach to online education excites me, as I want to create engaging and interactive learning experiences.
Empo...
- Q2. What excites you about teaching students through a virtual platform?
- Ans.
Teaching students through a virtual platform allows for innovative engagement and accessibility, enhancing the learning experience.
Global Reach: Virtual platforms enable teaching students from diverse geographical locations, fostering a rich exchange of ideas and perspectives.
Interactive Tools: Utilizing tools like polls, quizzes, and breakout rooms can make lessons more engaging and interactive, enhancing student part...
- Q3. How would you keep students engaged during an online class?How would you keep students engaged during an online class?
- Ans.
Engaging students in online classes requires interactive methods, real-time feedback, and varied content to maintain interest and participation.
Interactive Polls: Use tools like Mentimeter or Kahoot to create live polls or quizzes during the class, encouraging participation and instant feedback.
Breakout Rooms: Divide students into smaller groups for discussions or projects, fostering collaboration and allowing for more...
Selected
I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
(2 Questions)
- Q1. Constraints, joins
- Q2. DDL, primary key
Interview Preparation Tips
Selected
I applied via Approached by Company and was interviewed in Aug 2024. There were 2 interview rounds.
Very difficult, very much for testing my brain power
(2 Questions)
- Q1. Tell me about yourself?
- Ans.
I am a data analyst with a background in statistics and programming, passionate about turning data into actionable insights.
Graduated with a degree in Statistics
Proficient in programming languages like Python and R
Experience in data cleaning, analysis, and visualization
Strong problem-solving skills
Worked on projects involving predictive modeling and machine learning
- Q2. Why did you leave the current job?
- Ans.
Seeking new challenges and growth opportunities in a more data-driven environment.
Desire for professional growth and development
Looking for new challenges and opportunities
Seeking a more data-focused role
Company restructuring or downsizing
Relocation to a new area
Interview Preparation Tips
Prepare for coding tests by mastering data structures, algorithms, and problem-solving skills. Practice on platforms like LeetCode and HackerRank. Ensure clean, efficient code and test thoroughly.
Interview Preparation Tips
Cha
Participating in a hiring drive, especially one organized by reputed firms like QualityKiosk Technologies through platforms like BridgeLabz, can be a crucial step for job seekers. Here are some tailored tips and advice to help you navigate the process effectively and increase your chances of success:
**1. Preparation: Know the Company and Role
Research QualityKiosk Technologies: Understand the company’s core business areas, including their focus on software testing, quality assurance, and digital transformation services.
Understand the Job Role: Be clear on the job description, required skills, and expectations. Tailor your preparation accordingly.
**2. Resume and Profile Optimization
Customize Your Resume: Highlight relevant experience, projects, and skills that align with the job requirements. Use keywords from the job posting.
Online Presence: Update your LinkedIn profile and ensure it reflects your latest achievements and skills. Recruiters often look at LinkedIn profiles.
**3. Skill Enhancement and Certifications
Upskill: Focus on gaining proficiency in relevant technologies and tools, such as automated testing frameworks, scripting languages, and software development methodologies.
Certifications: Consider certifications that add value to your profile, like ISTQB for testing or Scrum certifications for agile methodologies.
**4. Mock Interviews and Practice
Technical Interviews: Practice coding problems, algorithms, and data structures. Websites like LeetCode, HackerRank, and GeeksforGeeks can be very helpful.
Behavioral Interviews: Prepare for common questions like your strengths, weaknesses, and experiences with teamwork and challenges.
**5. Networking and Mentorship
Connect with Alumni: Reach out to alumni or current employees of QualityKiosk Technologies for insights and advice.
Mentorship: Seek guidance from mentors or professionals in the industry to better understand the expectations and prepare effectively.
**6. Application Process
Follow Instructions: Ensure you follow the application instructions carefully. Missing details can sometimes cost an opportunity.
Cover Letter: Write a compelling cover letter that explains why you’re a good fit for the role and the company.
**7. On the Day of the Drive
Dress Professionally: Maintain a neat and professional appearance.
Carry Essentials: Have multiple copies of your resume, a notepad, and a pen. Also, carry any documents you might need for verification or testing purposes.
**8. Interview Performance
Confidence and Clarity: Answer questions confidently and clearly. If you don’t know an answer, it’s better to admit it and explain your thought process or how you’d approach finding the solution.
Ask Questions: Prepare thoughtful questions about the role and the company. This shows your interest and engagement.
**9. Post-Interview Etiquette
Follow Up: Send a thank-you email to your interviewers, expressing your appreciation for the opportunity and reiterating your interest in the role.
Reflect and Improve: Reflect on your interview performance and seek feedback if possible. Use this to improve for future opportunities.
**10. Stay Updated and Keep Learning
Continuous Learning: Stay updated with the latest trends and advancements in your field. Continuous learning is key to staying relevant and competitive.
By preparing thoroughly and approaching the hiring drive with a strategic mindset, you can maximize your chances of landing a job at QualityKiosk Technologies or any similar opportunity. Good luck!
Selected
DSA and Algorithm, Quant and Logical Reasoning
(2 Questions)
- Q1. Object Oriented Porgramming and SQL
- Q2. Explain the functions in SQL and Explain OOPS.
- Ans.
SQL functions are used to perform operations on data stored in a database. OOPS stands for Object-Oriented Programming System.
SQL functions are used to manipulate data in a database, such as SUM, AVG, COUNT, etc.
OOPS is a programming paradigm based on the concept of objects, which can contain data in the form of fields and code in the form of procedures.
Examples of SQL functions: SELECT COUNT(*) FROM table_name; SELECT...
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.
(4 Questions)
- Q1. Difference between Power BI Tableau, advantages and limitations of both
- Ans.
Power BI and Tableau are both popular data visualization tools, each with its own advantages and limitations.
Power BI is more user-friendly and integrates well with Microsoft products, while Tableau offers more advanced visualization options.
Power BI is better suited for business users who are already using Microsoft products, while Tableau is preferred by data analysts and data scientists.
Power BI is more cost-effecti...
- Q2. What is RLS in Power BI
- Ans.
RLS in Power BI stands for Row-Level Security, which allows users to restrict access to certain rows of data based on their role or permissions.
RLS helps in controlling access to data at the row level
It allows users to define security roles and rules to restrict data access
Users can create filters based on roles to limit data visibility
For example, a manager can only see data related to their department using RLS
- Q3. How do you share the report with users
- Ans.
I share reports with users through email, online portals, presentations, and interactive dashboards.
Send reports via email attachments
Upload reports to online portals for easy access
Present findings in meetings or webinars
Create interactive dashboards for users to explore data
Provide access to reports through secure data sharing platforms
- Q4. How do you optimize the report when working with large datasets
- Ans.
Optimizing reports with large datasets involves using efficient data processing techniques and visualization tools.
Use data aggregation to summarize large datasets
Utilize indexing and proper data structures for faster retrieval
Implement parallel processing or distributed computing for quicker analysis
Leverage data visualization tools like Tableau or Power BI for easier interpretation
Consider using sampling techniques t...
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed in Aug 2024. There were 2 interview rounds.
2 hr coding test and asking about the my project
(2 Questions)
- Q1. Why want to join tcs?
- Ans.
I want to join TCS because of its reputation for innovation, global presence, and opportunities for career growth.
TCS is known for its cutting-edge technology solutions and innovation in the IT industry
TCS has a strong global presence with offices in multiple countries, providing opportunities for international exposure
TCS offers a wide range of projects and clients, allowing for diverse learning experiences and career...
- Q2. What is long term goal
- Ans.
My long term goal is to become a data science manager and lead a team of analysts to drive impactful business decisions through data-driven insights.
Continue developing technical skills in data analysis and machine learning
Gain leadership experience through project management and team collaboration
Obtain advanced degrees or certifications in data science or related fields
Work towards becoming a subject matter expert in...
(2 Questions)
- Q1. Explain your recent experience from resume
- Ans.
I have experience analyzing sales data to identify trends and make recommendations for improvement.
Utilized Excel and SQL to extract and manipulate data
Created visualizations to present findings to stakeholders
Identified key performance indicators and tracked progress over time
- Q2. Basic SQL questions
TCS Interview FAQs
The duration of TCS Data Analyst interview process can vary, but typically it takes about less than 2 weeks to complete.
Tell us how to improve this page.
TCS Interviews By Designations
- TCS System Engineer Interview Questions
- TCS Software Developer Interview Questions
- TCS Software Engineer Interview Questions
- TCS Assistant System Engineer Interview Questions
- TCS Assistant System Engineer Trainee Interview Questions
- TCS IT Analyst Interview Questions
- TCS Ninja Interview Questions
- TCS Java Developer Interview Questions
- Show more
Interview Questions for Popular Designations
- Senior Data Analyst Interview Questions
- Junior Data Analyst Interview Questions
- Data Analyst Intern Interview Questions
- Data Engineer Interview Questions
- Data Scientist Interview Questions
- Data Research Analyst Interview Questions
- Associate Data Analyst Interview Questions
- Data Entry Operator Interview Questions
- Show more
Overall Interview Experience Rating
based on 83 interview experiences
Difficulty level
Duration
Data Analyst Interview Questions from Similar Companies
TCS Data Analyst Reviews and Ratings
based on 553 reviews
Rating in categories
|
System Engineer
1.1L
salaries
|  ₹1 L/yr - ₹9 L/yr |
|
IT Analyst
65.9k
salaries
| ₹5.1 L/yr - ₹17 L/yr |
|
AST Consultant
52.8k
salaries
| ₹8 L/yr - ₹25.3 L/yr |
|
Assistant System Engineer
33.1k
salaries
| ₹2.2 L/yr - ₹6.2 L/yr |
|
Associate Consultant
31.8k
salaries
| ₹9 L/yr - ₹33 L/yr |
Amazon
Wipro
Infosys
Accenture
- Home >
- Interviews >
- TCS Interview Questions >
- TCS Data Analyst Interview Questions
