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Lenskart MIS Executive and Analyst Interview Questions and Answers

Updated 29 Sep 2022

Lenskart MIS Executive and Analyst Interview Experiences

1 interview found

I was interviewed in Aug 2022.

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 - HR 

(1 Question)

  • Q1. They will ask experience, skill etc
Round 3 - One-on-one 

(1 Question)

  • Q1. Based on our work they will ask, also they will ask about different languages we know(coding)

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident in interview, whatever you know about concerned field explain in it briefly.

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Basics Aptitude & Personality Test

Round 2 - Technical 

(2 Questions)

  • Q1. Union Vs Union All
  • Ans. 

    Union combines and removes duplicates, Union All combines without removing duplicates.

    • Union is used to combine the result sets of two or more SELECT statements and removes duplicates.

    • Union All is used to combine the result sets of two or more SELECT statements without removing duplicates.

    • Union is slower than Union All because it has to remove duplicates.

    • Example: SELECT column1 FROM table1 UNION SELECT column1 FROM tabl...

  • Answered by AI
  • Q2. Scenario based Q.s on Excel & SQL
Round 3 - HR 

(1 Question)

  • Q1. Salary Negotiation

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
Easy
Process Duration
2-4 weeks
Result
No response

I was interviewed in Dec 2024.

Round 1 - HR 

(2 Questions)

  • Q1. Basic Communication Skills
  • Q2. Background and why to change the job
Round 2 - Technical 

(2 Questions)

  • Q1. Brief about your background
  • Q2. Excel and SQL basic questions. For data visualisation.
Round 3 - Technical 

(2 Questions)

  • Q1. What are the roles you were responsible for in previous company
  • Q2. Pivot tables and Financial basic questions on revenue.
Round 4 - One-on-one 

(3 Questions)

  • Q1. How do you think will fit in the role?
  • Q2. Basic understanding of Revenue and Financial statements.
  • Q3. What do you want to do in life? The goal.
Round 5 - HR 

(3 Questions)

  • Q1. Basic communication skills with the background test.
  • Q2. Why this role suits you.
  • Q3. Current and expectation of salary.

Interview Preparation Tips

Interview preparation tips for other job seekers - My intervoew went excellent, but I think there was a budget issue which they didn't clarify in the beginning. Plus, I kept following up with the HR she doesn't responde. Pathetically annoying TA team. At least these people should have told me if I was not selected after the 5 rounds of interview and time wasting.

I in the beginning got really good bg from finance team that the company is good and employee oriented. My experience was way worse than that. This new "Job hai" has poor management and no ethics.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I was interviewed in Dec 2024.

Round 1 - One-on-one 

(3 Questions)

  • Q1. How do you gain experience in data analysis?
  • Q2. What are your thoughts on the matter?
  • Q3. What is algorithm
Round 2 - Technical 

(2 Questions)

  • Q1. What is a data structure?
  • Q2. What are the different types of data structures available?

Interview Preparation Tips

Interview preparation tips for other job seekers - This job vacancy is open exclusively to individuals who have completed their 12th grade or are undergraduate students, with options for part-time or full-time work.
Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(3 Questions)

  • Q1. Difference Between Rank and Dense Rank
  • Ans. 

    Rank assigns unique ranks to each distinct value, while Dense Rank assigns consecutive ranks to each distinct value.

    • Rank does not skip ranks when there are ties, while Dense Rank does

    • Rank will have gaps in ranks if there are ties, while Dense Rank will not

    • Rank function is used to assign a unique rank to each distinct row, while Dense Rank function is used to assign consecutive ranks to each distinct row

  • Answered by AI
  • Q2. Some Basic Joins
  • Q3. Socks Pair Puzzle Qustions

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare BASIC SQL and some puzzles questions
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Sql Medium Level questions
  • Q2. Easy guesstimates were asked
Round 2 - Technical 

(2 Questions)

  • Q1. Caee Study was asked
  • Q2. Resume grilling was done
Round 3 - HR 

(2 Questions)

  • Q1. Why you want to join Ola ?
  • Ans. 

    I want to join Ola because of its innovative technology, market leadership, and potential for growth.

    • Ola is a market leader in the ride-sharing industry, which presents exciting challenges and opportunities for a business analyst.

    • I am impressed by Ola's focus on innovation and technology, which aligns with my passion for leveraging data and analytics to drive business decisions.

    • I believe Ola's fast-paced environment an...

  • Answered by AI
  • Q2. Salary Negotiation was done

Interview Preparation Tips

Interview preparation tips for other job seekers - Pretty easy Interview. Just brushup basics
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Basic Apititude Questions

Round 2 - Technical 

(2 Questions)

  • Q1. Difference between WHERE and HAVING??
  • Ans. 

    WHERE is used to filter rows before grouping, HAVING is used to filter groups after grouping.

    • WHERE is used with SELECT statement to filter rows based on a condition

    • HAVING is used with GROUP BY statement to filter groups based on a condition

    • WHERE is applied before data is grouped, HAVING is applied after data is grouped

    • Example: SELECT * FROM table WHERE column = 'value'

    • Example: SELECT column, COUNT(*) FROM table GROUP B

  • Answered by AI
  • Q2. Where- Row Level Filters Having-Aggregate Filters
  • Ans. 

    Row level filters are applied before aggregations, while aggregate filters are applied after aggregations.

    • Row level filters are used to filter individual rows of data before any aggregations are performed.

    • Aggregate filters are used to filter the aggregated results after the data has been grouped and summarized.

    • Row level filters are typically applied using WHERE clause in SQL, while aggregate filters are applied using H...

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. Why do you wanna join Uber?
  • Q2. Best Company Ever

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare SQL and Excel and Basic Python

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. About previous experience situation based questions excel problem solving
  • Q2. Tell me about yourself difference between data quality and data validity

Interview Preparation Tips

Interview preparation tips for other job seekers - excel skills and data analysis basics
Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Feb 2024. There was 1 interview round.

Round 1 - Technical 

(3 Questions)

  • Q1. Projects Worked
  • Ans. 

    I have worked on various projects involving data analysis, visualization, and interpretation.

    • Developed predictive models using machine learning algorithms

    • Performed data cleaning and preprocessing to ensure accuracy

    • Created interactive dashboards for stakeholders to easily understand insights

  • Answered by AI
  • Q2. SQL functions used in the projects
  • Ans. 

    Common SQL functions used in projects include COUNT, SUM, AVG, MAX, MIN, and GROUP BY.

    • COUNT: Used to count the number of rows in a table.

    • SUM: Used to calculate the sum of a column.

    • AVG: Used to calculate the average value of a column.

    • MAX: Used to find the maximum value in a column.

    • MIN: Used to find the minimum value in a column.

    • GROUP BY: Used to group rows that have the same values into summary rows.

  • Answered by AI
  • Q3. Machine learning alogriths

Skills evaluated in this interview

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

I applied via Referral and was interviewed before Dec 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is pivot table , v lookup
  • Q2. Write Sql query for find min and max

Lenskart Interview FAQs

How many rounds are there in Lenskart MIS Executive and Analyst interview?
Lenskart interview process usually has 3 rounds. The most common rounds in the Lenskart interview process are Resume Shortlist, HR and One-on-one Round.
What are the top questions asked in Lenskart MIS Executive and Analyst interview?

Some of the top questions asked at the Lenskart MIS Executive and Analyst interview -

  1. Based on our work they will ask, also they will ask about different languages w...read more
  2. They will ask experience, skill ...read more

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Lenskart MIS Executive and Analyst Reviews and Ratings

based on 1 review

3.0/5

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3.0

Skill development

3.0

Work-life balance

2.0

Salary

3.0

Job security

3.0

Company culture

2.0

Promotions

3.0

Work satisfaction

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