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Compunnel Data Analyst Interview Questions, Process, and Tips

Updated 31 Mar 2023

Compunnel Data Analyst Interview Experiences

1 interview found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 31 Mar 2023

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Oct 2022. There was 1 interview round.

Round 1 - Technical 

(5 Questions)

  • Q1. 1. Measures of Dispersion
  • Ans. 

    Measures of Dispersion are used to describe the spread of data around the central tendency.

    • Measures of Dispersion include Range, Variance, Standard Deviation, and Interquartile Range.

    • Range is the difference between the maximum and minimum values in a dataset.

    • Variance measures how far each value is from the mean.

    • Standard Deviation is the square root of the variance.

    • Interquartile Range is the difference between the 75th

  • Answered by AI
  • Q2. Difference between Linear & Logistic Regression ? Give examples ?
  • Ans. 

    Linear regression is used for continuous data while logistic regression is used for categorical data.

    • Linear regression predicts a continuous outcome while logistic regression predicts a probability of an event occurring.

    • Linear regression uses a straight line to fit the data while logistic regression uses an S-shaped curve.

    • Linear regression is used for predicting values like house prices while logistic regression is use...

  • Answered by AI
  • Q3. What is Feature Selection & Feature Engineering
  • Ans. 

    Feature selection is the process of selecting relevant features from a dataset, while feature engineering involves creating new features.

    • Feature selection helps to reduce the dimensionality of the dataset and improve model performance.

    • Feature engineering involves transforming or combining existing features to create new ones that may be more informative.

    • Examples of feature engineering include creating interaction terms...

  • Answered by AI
  • Q4. What is Gradient Descent and where is it used
  • Ans. 

    Gradient Descent is an optimization algorithm used to minimize the cost function of a machine learning model.

    • Gradient Descent is used in machine learning to find the optimal parameters of a model by minimizing the cost function

    • It works by iteratively adjusting the parameters in the direction of steepest descent of the cost function

    • There are two types of Gradient Descent: Batch Gradient Descent and Stochastic Gradient D...

  • Answered by AI
  • Q5. What are different types of machine learning with examples
  • Ans. 

    There are three types of machine learning: supervised, unsupervised, and reinforcement learning.

    • Supervised learning involves training a model on labeled data to make predictions on new data. Example: predicting house prices based on features like location, size, etc.

    • Unsupervised learning involves finding patterns in unlabeled data. Example: clustering customers based on their purchasing behavior.

    • Reinforcement learning ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be through with Machine Learning topics and be prepared with examples

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Technical 

(2 Questions)

  • Q1. Tableau Questions 1. Difference between dimensions and measures. 2. What is RLS? 3. What are the functions you can assign in RLS? 4. Explain what is drill down approach. 5. What is LOD? 6. What is a calcul...
  • Q2. SQL Questions 1. In employee table find the 2nd highest salary. 2. Find the highest average salary in department 3. Given two tables(sales & product) find total sales per category 4. Two questions to find ...

Interview Preparation Tips

Topics to prepare for TEKsystems Data Analyst interview:
  • SQL
  • Tableau
  • DBMS
Interview preparation tips for other job seekers - Practice SQL interview questions and tableau interview questions from GfG and DataLemur.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Jun 2024. There was 1 interview round.

Round 1 - Technical 

(14 Questions)

  • Q1. What is Power Pivot?
  • Ans. 

    Power Pivot is a data analysis tool in Excel that allows users to create powerful data models, perform calculations, and generate insights.

    • Power Pivot is an Excel add-in used for data analysis and modeling.

    • It allows users to import and manipulate large datasets from different sources.

    • Users can create relationships between tables, perform calculations, and create advanced data visualizations.

    • Power Pivot is commonly used...

  • Answered by AI
  • Q2. What is use of power query
  • Ans. 

    Power Query is a data connection technology that enables you to discover, connect, combine, and refine data across a wide variety of sources.

    • Power Query is used to import, transform, and combine data from different sources for analysis.

    • It helps in cleaning and shaping data before loading it into Excel or Power BI.

    • Power Query can be used to automate data preparation tasks, saving time and effort.

    • It allows users to easil...

  • Answered by AI
  • Q3. What's the difference between Power Pivot and Power Query
  • Ans. 

    Power Pivot is used for data modeling and analysis, while Power Query is used for data transformation and cleaning.

    • Power Pivot is used for creating relationships between tables and performing calculations.

    • Power Query is used for importing, transforming, and cleaning data from various sources.

    • Power Pivot is more focused on data analysis and modeling, while Power Query is more focused on data preparation.

    • Both Power Pivot...

  • Answered by AI
  • Q4. How would you retrieve data over than 3 months in dynamic dashboard
  • Ans. 

    To retrieve data over 3 months in a dynamic dashboard, use a date range filter and ensure the data source is updated regularly.

    • Create a date range filter in the dashboard to select a time period of over 3 months

    • Ensure the data source is updated regularly to include the required data

    • Use SQL queries or data extraction tools to pull the necessary data for the dashboard

    • Consider automating the data retrieval process to ensu

  • Answered by AI
  • Q5. What is Dicreat Chart. What is the role of this Chart
  • Ans. 

    A Dicreat Chart is a type of chart that displays data points in a discrete manner, typically using bars or columns.

    • Dicreat Charts are used to represent categorical data, where each category is represented by a separate bar or column.

    • They are commonly used in market research, survey data analysis, and comparison of different categories.

    • Examples of Dicreat Charts include bar charts, column charts, and stacked bar charts.

  • Answered by AI
  • Q6. What is SQL join. ? Types of SQL joins .
  • Ans. 

    SQL join is used to combine rows from two or more tables based on a related column between them.

    • Types of SQL joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

    • INNER JOIN returns rows when there is at least one match in both tables.

    • LEFT JOIN returns all rows from the left table and the matched rows from the right table.

    • RIGHT JOIN returns all rows from the right table and the matched rows from the left table...

  • Answered by AI
  • Q7. What is Store procedures. Have you used Store procedures before in your role of yes why you used?
  • Ans. 

    Stored procedures are precompiled SQL queries stored in a database for reuse.

    • Stored procedures are precompiled SQL queries stored in a database for reuse

    • They can improve performance by reducing network traffic and increasing security

    • Stored procedures can be used to encapsulate business logic and complex queries

    • Examples include procedures for updating customer information or calculating sales totals

  • Answered by AI
  • Q8. What is cte? Uses of cte . Have you applied it before?
  • Ans. 

    CTE stands for Common Table Expressions. It is a temporary result set that can be referenced within a SELECT, INSERT, UPDATE, or DELETE statement.

    • CTEs are defined using the WITH keyword in SQL.

    • They help improve readability and maintainability of complex queries.

    • CTEs can be recursive, allowing for hierarchical data querying.

    • Examples: Recursive CTEs for querying organizational hierarchies, CTEs for data transformation be

  • Answered by AI
  • Q9. What is Matrix in PowerBi?
  • Ans. 

    Matrix in PowerBi is a visual representation of data in rows and columns, allowing for easy comparison and analysis.

    • Matrix displays data in a grid format with rows and columns

    • It allows for easy comparison of data across different categories

    • Users can drill down into the data to see more detailed information

    • Matrix can be used to create interactive reports and dashboards

  • Answered by AI
  • Q10. What is Lamda function? And its uses?
  • Ans. 

    Lambda function is an anonymous function in Python that can have any number of arguments, but can only have one expression.

    • Used for creating small, throwaway functions without a name

    • Commonly used with functions like map(), filter(), and reduce()

    • Can be used to define functions inline without the need to formally define a function using def keyword

  • Answered by AI
  • Q11. For manipulating dasets in python, what are the steps and techniques have you applied?
  • Ans. 

    To manipulate datasets in Python, steps include loading data, cleaning data, transforming data, and analyzing data using libraries like Pandas.

    • Load the dataset using Pandas library

    • Clean the data by handling missing values, removing duplicates, and correcting data types

    • Transform the data by applying functions, merging datasets, and creating new columns

    • Analyze the data by performing statistical analysis, visualizations,

  • Answered by AI
  • Q12. What are Dax data types ?
  • Ans. 

    DAX data types are used in Power BI and Excel to define the type of data stored in a column or measure.

    • DAX data types include Integer, Decimal Number, String, Boolean, Date, Time, DateTime, and Currency.

    • Data types are important for calculations and formatting in DAX formulas.

    • For example, using the correct data type for a column can ensure accurate calculations and visualizations.

  • Answered by AI
  • Q13. What are difference between inner join and left join?
  • Ans. 

    Inner join returns only the matching rows between two tables, while left join returns all rows from the left table and the matching rows from the right table.

    • Inner join only includes rows that have matching values in both tables

    • Left join includes all rows from the left table, even if there are no matching rows in the right table

    • Example: Inner join - SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.id

    • Example...

  • Answered by AI
  • Q14. What project you have worked before in previous company.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare Advance level of SQl , T-sql, data analytics techniques in python, and get at least 2 BI tools as current market. PowerBi, Tableau, Looker would be preferable.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Spark architecture
  • Q2. Repartition vs coalesce
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
No response

I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Assignment 

SQL and python questions are very easy.

Interview Preparation Tips

Interview preparation tips for other job seekers - Ghost interview they will not respond after completing infact i also submitted pre joining form also.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Nov 2023. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. Questions from SQL,UNIX,PYTHON,AWS
Round 3 - One-on-one 

(1 Question)

  • Q1. Current Project
  • Ans. 

    Currently working on analyzing customer data for a retail company.

    • Analyzing customer purchase history

    • Identifying trends and patterns in customer behavior

    • Segmenting customers based on demographics and purchase preferences

  • Answered by AI
Round 4 - HR 

(1 Question)

  • Q1. Expected Salary,Process, Offer letter

Interview Preparation Tips

Interview preparation tips for other job seekers - Team Is very Good
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Job Portal

Round 1 - Case Study 

Provided sales case study, asked to analyse the same ans provide insights

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

I applied via Referral and was interviewed before Jan 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

General knowledge

Round 2 - Group Discussion 

English knowledge

Round 3 - HR 

(1 Question)

  • Q1. Self and technical
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before May 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Questions are related to excel, SQL, visualisation tools such as Tableau, Power BI.

Round 2 - Coding Test 

Questions are related to SQL, excel, visualisation tools such as power BI and Tableau etc.

Round 3 - HR 

(2 Questions)

  • Q1. Normal discussions regarding salary negotiation.
  • Q2. Salary negotiation

Interview Preparation Tips

Interview preparation tips for other job seekers - Questions are the same you can easily practice them on the internet and Hackerrank.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I was interviewed before May 2023.

Round 1 - Aptitude Test 

Average
technical
mathematics
logical

Round 2 - Group Discussion 

Recent topics ,prepare current scenario based

Round 3 - One-on-one 

(1 Question)

  • Q1. Technical questions ,salary discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare based on your resume

Compunnel Interview FAQs

How many rounds are there in Compunnel Data Analyst interview?
Compunnel interview process usually has 2 rounds. The most common rounds in the Compunnel interview process are Resume Shortlist and Technical.
How to prepare for Compunnel 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 Compunnel. The most common topics and skills that interviewers at Compunnel expect are Agile Development, Data Analysis, Informatica, Oracle Environment and SQL.
What are the top questions asked in Compunnel Data Analyst interview?

Some of the top questions asked at the Compunnel Data Analyst interview -

  1. What are different types of machine learning with examp...read more
  2. What is Feature Selection & Feature Engineer...read more
  3. What is Gradient Descent and where is it u...read more

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