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Vodafone Idea Data Analyst Interview Questions and Answers

Updated 22 May 2024

Vodafone Idea Data Analyst Interview Experiences

2 interviews found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 2 Aug 2022

Round 1 - Technical 

(1 Question)

  • Q1. Current roles and responsibilities, Few queries to write, few questions related to DWH and what type of role you have done in past etc
Round 2 - Technical 

(1 Question)

  • Q1. Managerial round mostly questions like what challenges did you face, how did you overcome on that, what was the major success / appreciation you got

Interview Preparation Tips

Interview preparation tips for other job seekers - If you don't know anything, show that you can learn and do it

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 22 May 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before May 2023. There was 1 interview round.

Round 1 - Coding Test 

SQL query to find the top 5 employee having the max salary

Interview Preparation Tips

Topics to prepare for Vodafone Idea Data Analyst interview:
  • SQL

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Interview questions from similar companies

I applied via Recruitment Consulltant and was interviewed before Jul 2021. There were 2 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 - One-on-one 

(3 Questions)

  • Q1. SQL joins and simple query
  • Q2. Phython basics and simle data fram
  • Q3. Hr round only formality

Interview Preparation Tips

Interview preparation tips for other job seekers - Be Confident and work on basics, do not take lot of tension

Interview Questionnaire 

1 Question

  • Q1. Overall Experience and technical round managerial round
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Previous experience

Interview Preparation Tips

Interview preparation tips for other job seekers - Good
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Behavioral interview 

(2 Questions)

  • Q1. It was an easy situational ques
  • Q2. It was an easy situational questiokn
Round 2 - Behavioral interview 

(2 Questions)

  • Q1. Same as the first one
  • Q2. Same as the previous round
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Questions were based on DSA and C
  • Q2. It was basically a coding round with simple logic
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Mar 2023. There were 4 interview rounds.

Round 1 - Aptitude Test 

Logical Reasoning ,Aptitude and English

Round 2 - Group Discussion 

Current affairs, Leadership topics

Round 3 - One-on-one 

(1 Question)

  • Q1. On new technologies
Round 4 - One-on-one 

(1 Question)

  • Q1. Questions about relocation
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. How is data analysis different from data mining? What is data cleansing? Why is it important? What do data analysts do when they are faced with missing or duplicate data?
  • Ans. 

    Data analysis involves interpreting data to gain insights, while data mining focuses on discovering patterns and relationships in large datasets.

    • Data analysis involves interpreting data to extract meaningful insights and make informed decisions.

    • Data mining involves using algorithms to discover patterns and relationships in large datasets.

    • Data cleansing is the process of detecting and correcting errors or inconsistencie...

  • Answered by AI
Round 2 - HR 

(1 Question)

  • Q1. How proficient are you in using spreadsheet programs to compile and organize data? What have you used your data for in past positions? Have you ever had to lead an investigation? What was the topic, why wa...
  • Ans. 

    I am highly proficient in using spreadsheet programs to compile and organize data.

    • I have used spreadsheet programs extensively to compile and organize data in past positions.

    • For example, I have used Excel to analyze sales data and create reports for management.

    • I have also used Google Sheets to track project progress and budget expenses.

    • In one position, I used spreadsheets to analyze customer feedback and identify trend...

  • Answered by AI

Skills evaluated in this interview

I applied via Walk-in and was interviewed in Jun 2021. There was 1 interview round.

Interview Questionnaire 

4 Questions

  • Q1. What is Vlookup?
  • Ans. 

    Vlookup is a function in Excel used to search for a value in a table and return a corresponding value from another column.

    • Vlookup stands for vertical lookup.

    • It is commonly used to find and retrieve data from large datasets.

    • The function requires a lookup value, a table range, and the column index number.

    • Vlookup can be used to perform approximate or exact matches.

    • It is often used for data analysis, data validation, and d...

  • Answered by AI
  • Q2. What is Pivot table?
  • Ans. 

    A pivot table is a data summarization tool used in spreadsheet programs like Excel.

    • It allows users to quickly summarize and analyze large amounts of data.

    • Users can easily group data by different categories and perform calculations on them.

    • Pivot tables are useful for creating reports and visualizations.

    • They can help identify trends and patterns in data.

    • Example: A pivot table can be used to summarize sales data by produc

  • Answered by AI
  • Q3. What type of Vlookup?
  • Ans. 

    There are two types of Vlookup: Exact Match and Approximate Match.

    • Exact Match Vlookup searches for an exact match of the lookup value in the first column of the table array.

    • Approximate Match Vlookup searches for an approximate match of the lookup value in the first column of the table array.

    • Exact Match Vlookup is denoted by 0 or FALSE in the formula, while Approximate Match Vlookup is denoted by 1 or TRUE in the formul

  • Answered by AI
  • Q4. Apply filters in row?
  • Ans. 

    Filters can be applied to rows in a table to display specific data.

    • Select the row(s) you want to filter

    • Click on the filter icon in the toolbar

    • Choose the filter criteria and apply

    • The table will display only the rows that meet the filter criteria

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - If you have advanced knowledge of excel then you will definitely crake interview.

Skills evaluated in this interview

Vodafone Idea Interview FAQs

How many rounds are there in Vodafone Idea Data Analyst interview?
Vodafone Idea interview process usually has 1-2 rounds. The most common rounds in the Vodafone Idea interview process are Technical and Coding Test.
How to prepare for Vodafone Idea 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 Vodafone Idea. The most common topics and skills that interviewers at Vodafone Idea expect are SQL, Data Warehousing, Data Analysis, PLSQL and Python.

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Vodafone Idea Data Analyst Interview Process

based on 2 interviews

Interview experience

5
  
Excellent
View more
Vodafone Idea Data Analyst Salary
based on 151 salaries
₹1.8 L/yr - ₹11.1 L/yr
At par with the average Data Analyst Salary in India
View more details

Vodafone Idea Data Analyst Reviews and Ratings

based on 25 reviews

3.9/5

Rating in categories

3.7

Skill development

3.7

Work-life balance

3.3

Salary

3.3

Job security

3.3

Company culture

2.9

Promotions

3.1

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