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The Smart Cube Data Analyst Interview Questions and Answers

Updated 16 Jun 2024

The Smart Cube Data Analyst Interview Experiences

5 interviews found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 17 Apr 2024

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

I applied via campus placement at Lady Shri Ram College for Women, Delhi

Round 1 - Aptitude Test 

Basic English, Quants and Statistics

Round 2 - Group Discussion 

Easy, relevant to pandemic

Round 3 - Technical 

(1 Question)

  • Q1. Python, Tableau, SQL, Stats, ML, all questions easy to medium level
Round 4 - One-on-one 

(2 Questions)

  • Q1. Behavioural Questions
  • Q2. Statistics Case Study

Interview Preparation Tips

Interview preparation tips for other job seekers - Good and organized interview process for the post of Data Analyst

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 16 Jun 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

General Quant, DA questions like ratio, numbers etc

Round 2 - Technical 

(2 Questions)

  • Q1. What is the difference between extend and append in Python?
  • Ans. 

    Extend adds elements of an iterable to a list, while append adds a single element to the end of a list.

    • Extend can add multiple elements from an iterable (list, tuple, string) to the end of a list.

    • Append adds a single element to the end of a list.

    • Extend modifies the original list, while append does not.

    • Example: list1 = [1, 2, 3], list2 = [4, 5], list1.extend(list2) will result in list1 = [1, 2, 3, 4, 5], list1.append(6)

  • Answered by AI
  • Q2. How can you join 2 dataframes one after the other in Python?
  • Ans. 

    You can join 2 dataframes one after the other in Python using the concat() function from the pandas library.

    • Use pd.concat() function from the pandas library to join two dataframes one after the other.

    • Specify the dataframes to be concatenated as arguments to the concat() function.

    • Make sure the columns of both dataframes match or use the ignore_index parameter to reset the index after concatenation.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - If you are straight out of campus then focus on your basics.

Skills evaluated in this interview

Data Analyst Interview Questions Asked at Other Companies

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Q5. Find First Repeated Character in a String Given a string 'STR' co ... read more

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 31 Jan 2024

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

Gst in india with + and -

Round 2 - One-on-one 

(1 Question)

  • Q1. Asked about case study
Round 3 - One-on-one 

(1 Question)

  • Q1. Asked some puzzles

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 6 May 2024

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

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

Round 1 - Aptitude Test 

Grammar and reasoning questions

Round 2 - Group Discussion 

Just a minute session. To check English fluency.

Round 3 - One-on-one 

(1 Question)

  • Q1. Resume based questions. Revolved around statistics, linear and logistics regression

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Data Analyst Interview Questions & Answers

user image Anonymous

posted on 10 Mar 2022

Round 1 - One-on-one 

(1 Question)

  • Q1. Normal Distribution, Time Series, Linear and Logistic Regression

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn Basics to all the stats, ml, data science concepts

Interview questions from similar companies

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

I applied via Newspaper Ad and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

Three sections are there 1) Aptitude Test 2) SQL 3) DSA

Round 2 - Technical 

(2 Questions)

  • Q1. What is DSA , sorting , difference between array and linked list
  • Ans. 

    DSA stands for Data Structures and Algorithms. Sorting is the process of arranging data in a particular order. Array is a data structure that stores elements of the same data type in contiguous memory locations, while linked list is a data structure that stores elements in nodes with pointers to the next node.

    • DSA stands for Data Structures and Algorithms

    • Sorting is the process of arranging data in a particular order

    • Arra...

  • Answered by AI
  • Q2. Written a SQL query
Round 3 - HR 

(2 Questions)

  • Q1. Coding question like add numbers
  • Q2. Experience on your project
  • Ans. 

    I have experience working on various data analysis projects, including market research, customer segmentation, and predictive modeling.

    • Developed predictive models to forecast customer behavior and optimize marketing strategies

    • Conducted market research to identify trends and opportunities for growth

    • Performed customer segmentation analysis to target specific demographics with personalized marketing campaigns

  • Answered by AI

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Power BI Difference between ALL() and ALLSELECTED()
  • Ans. 

    ALL() ignores all filters in the query context, while ALLSELECTED() ignores only filters on columns in the visual.

    • ALL() removes all filters from the specified column or table.

    • ALLSELECTED() removes filters from the specified column or table, but keeps filters on other columns in the visual.

    • Example: ALL('Table') would remove all filters on the 'Table' in the query context.

    • Example: ALLSELECTED('Column') would remove filte...

  • Answered by AI
  • Q2. Excel Difference between COUNT() and COUNTA()
  • Ans. 

    COUNT() counts only numeric values, while COUNTA() counts all non-empty cells.

    • COUNT() counts only cells with numerical values.

    • COUNTA() counts all non-empty cells, including text and errors.

    • Example: COUNT(A1:A5) will count only cells with numbers, while COUNTA(A1:A5) will count all non-empty cells.

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Resume based questions like explain the projects that you have done.
  • Q2. Sample dataset questions

Skills evaluated in this interview

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

I applied via Indeed and was interviewed in Jan 2024. There were 2 interview rounds.

Round 1 - HR 

(3 Questions)

  • Q1. Basics of power bi and sql
  • Q2. What are joins and types of join
  • Ans. 

    Joins are used to combine rows from two or more tables based on a related column between them.

    • Types of 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

    • FULL JOIN...

  • Answered by AI
  • Q3. How to add date table in power bi
  • Ans. 

    To add a date table in Power BI, you can create a new table with a list of dates and relationships with other tables.

    • Create a new table in Power BI with a list of dates

    • Add columns for day, month, year, etc. for additional analysis

    • Establish relationships between the date table and other tables in the data model

  • Answered by AI
Round 2 - Technical 

(4 Questions)

  • Q1. Sql scenario based question on joins
  • Q2. Window function questions
  • Q3. Performance tuning
  • Q4. Power bi dax question

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Easy
Process Duration
-
Result
Selected Selected
Round 1 - HR 

(1 Question)

  • Q1. How good are you with numbers
Round 2 - Technical 

(1 Question)

  • Q1. Vlookup, pivot table, sumif, average, graphs
Round 3 - Behavioral 

(1 Question)

  • Q1. Do you know the role and responsibility of this position
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

Basic aptitude questions liek tiem distance, percentage , ratio, work and hour

Round 2 - Coding Test 

Excel, Numpy, Pandas, basic ML

Round 3 - Case Study 

Case study talking about how to optimise the supply chain using data analytics

The Smart Cube Interview FAQs

How many rounds are there in The Smart Cube Data Analyst interview?
The Smart Cube interview process usually has 2-3 rounds. The most common rounds in the The Smart Cube interview process are One-on-one Round, Group Discussion and Aptitude Test.
What are the top questions asked in The Smart Cube Data Analyst interview?

Some of the top questions asked at the The Smart Cube Data Analyst interview -

  1. How can you join 2 dataframes one after the other in Pyth...read more
  2. What is the difference between extend and append in Pyth...read more
  3. Python, Tableau, SQL, Stats, ML, all questions easy to medium le...read more

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The Smart Cube Data Analyst Interview Process

based on 4 interviews

1 Interview rounds

  • Aptitude Test Round
View more
The Smart Cube Data Analyst Salary
based on 62 salaries
₹6.3 L/yr - ₹11 L/yr
44% more than the average Data Analyst Salary in India
View more details

The Smart Cube Data Analyst Reviews and Ratings

based on 9 reviews

4.0/5

Rating in categories

3.6

Skill development

3.4

Work-life balance

2.9

Salary

4.0

Job security

3.4

Company culture

3.2

Promotions

3.4

Work satisfaction

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