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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

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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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

The Smart Cube interview questions for designations

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 (2)

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 (1)

 Operations Specialist

 (1)

 Assistant Manager

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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
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - HR 

(2 Questions)

  • Q1. What projects are you working on?
  • Q2. Tell me about a time you struggled.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Hard DP level DSA question
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
-
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
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in May 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Basic quant questions with some questions on ML. 2 python questions based on data processing.

Round 2 - Technical 

(2 Questions)

  • Q1. Difference between list and set
  • Ans. 

    List is an ordered collection of elements with duplicates allowed, while set is an unordered collection of unique elements.

    • List maintains the order of elements, while set does not guarantee any specific order.

    • List allows duplicate elements, while set does not allow duplicates.

    • List is accessed by index, while set is accessed by value.

    • Example: List - [1, 2, 3, 1], Set - {1, 2, 3}

  • Answered by AI
  • Q2. Difference between concat and merge
  • Ans. 

    Concat is used to combine data along a particular axis, while merge is used to combine data based on a common key.

    • Concatenation is done along an axis (rows or columns) in pandas, while merging is done based on common columns or indices.

    • Concatenation is a simple operation that just appends data, while merging involves combining data based on a key.

    • Concatenation can be done even if the data does not have common columns, ...

  • Answered by AI

Skills evaluated in this interview

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 63 salaries
₹6.3 L/yr - ₹11 L/yr
40% 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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