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LatentView Analytics Senior Data Analyst Interview Questions and Answers

Updated 28 Apr 2024

LatentView Analytics Senior Data Analyst Interview Experiences

1 interview found

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

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

Round 1 - Technical 

(2 Questions)

  • Q1. Sql Based Questions on Join, CTE,Advance Functionc
  • Q2. Use case study implementation of logics
  • Ans. 

    Implementing logics in a use case study to analyze data and derive insights.

    • Identify the problem statement and objectives of the study

    • Collect relevant data and clean it for analysis

    • Apply statistical and machine learning techniques to derive insights

    • Interpret the results and communicate findings to stakeholders

  • Answered by AI
Round 2 - Coding Test 

Python, data manipluation, ML, SQl

Interview Preparation Tips

Topics to prepare for LatentView Analytics Senior Data Analyst interview:
  • SQL
  • Python
  • Machine Learning
Interview preparation tips for other job seekers - Practice coding

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
Not Selected

I was interviewed in Jul 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. What is RAG ?
  • Ans. 

    RAG stands for Red, Amber, Green and is a color coding system used to indicate the status of a project or task.

    • RAG is commonly used in project management to quickly communicate the status of different tasks or projects.

    • Red typically indicates that a task or project is behind schedule or facing significant issues.

    • Amber signifies that there are some concerns or risks that need to be addressed.

    • Green means that a task or p...

  • Answered by AI
  • Q2. How you trainined LLM model?
  • Ans. 

    I trained the LLM model using a combination of labeled data, feature engineering, and iterative model tuning.

    • Collected and preprocessed labeled data for training

    • Performed feature engineering to extract relevant features

    • Used iterative model tuning to optimize performance

    • Evaluated model performance using metrics like accuracy, precision, and recall

  • Answered by AI

Skills evaluated in this interview

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

(1 Question)

  • Q1. Can you tell me about yourself?

Interview Preparation Tips

Interview preparation tips for other job seekers - The process was straightforward and hassle-free.
Interview experience
1
Bad
Difficulty level
Easy
Process Duration
More than 8 weeks
Result
Selected Selected

I applied via Approached by Company

Round 1 - One-on-one 

(1 Question)

  • Q1. Rating compliment the process

Interview Preparation Tips

Interview preparation tips for other job seekers - Dont go for the interview here pretty petty place immature audience would turn up for interview and it would look like a forced interview.
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Online aptitude test have been coundected

Round 2 - Technical 

(1 Question)

  • Q1. About the data procesig and projects on data science
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed before Jul 2022. There were 3 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 - Aptitude Test 

This was basic test it was easy

Round 3 - Technical 

(2 Questions)

  • Q1. Here all question are based on my resume
  • Q2. Explain your project What kind of work you did

Interview Preparation Tips

Interview preparation tips for other job seekers - All the best

I applied via LinkedIn and was interviewed in Jun 2021. There were 3 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. 1. Different between distinct and group by if it performed in single column
  • Ans. 

    Distinct returns unique values while group by groups and aggregates data based on a column.

    • Distinct returns only unique values from a single column.

    • Group by groups and aggregates data based on a column.

    • Distinct can be used to count the number of unique values in a column.

    • Group by can be used to group data by a column and perform aggregate functions like sum, count, avg, etc.

    • Distinct is used to remove duplicates from a ...

  • Answered by AI
  • Q2. 2.right join Vs right outer join
  • Ans. 

    Right join and right outer join are the same thing.

    • Right join and right outer join are interchangeable terms.

    • Both return all the rows from the right table and matching rows from the left table.

    • If there is no match, the result will contain NULL values for the left table columns.

    • Used to combine data from two tables based on a common column.

    • Syntax: SELECT * FROM table1 RIGHT JOIN table2 ON table1.column = table2.column;

  • Answered by AI
  • Q3. 3.how to handle column with special char.
  • Ans. 

    Special characters in columns can be handled by replacing or removing them.

    • Identify the special characters in the column

    • Replace the special characters with a suitable alternative

    • Remove the special characters if they are not necessary

    • Use regular expressions to handle complex special characters

    • Ensure that the data type of the column is appropriate

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Must have advanced level SQL skills

Skills evaluated in this interview

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

(1 Question)

  • Q1. Tell me about yourself.

Interview Preparation Tips

Interview preparation tips for other job seekers - The process was straightforward and hassle-free.
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Oct 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Basic aptitude question

Round 2 - Technical 

(1 Question)

  • Q1. Basic analysis and ML questions , more focused on approach instead of coding
Round 3 - HR 

(1 Question)

  • Q1. As like other HR rounds
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(1 Question)

  • Q1. Tell me about yourself.

Interview Preparation Tips

Interview preparation tips for other job seekers - The process was straightforward and hassle-free.

LatentView Analytics Interview FAQs

How many rounds are there in LatentView Analytics Senior Data Analyst interview?
LatentView Analytics interview process usually has 2 rounds. The most common rounds in the LatentView Analytics interview process are Coding Test and Technical.
How to prepare for LatentView Analytics Senior 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 LatentView Analytics. The most common topics and skills that interviewers at LatentView Analytics expect are R, SQL, Python, Tableau and Analytics.
What are the top questions asked in LatentView Analytics Senior Data Analyst interview?

Some of the top questions asked at the LatentView Analytics Senior Data Analyst interview -

  1. Use case study implementation of log...read more
  2. Sql Based Questions on Join, CTE,Advance Functi...read more

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LatentView Analytics Senior Data Analyst Salary
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₹9.8 L/yr - ₹16 L/yr
16% more than the average Senior Data Analyst Salary in India
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