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Trianz Data Analyst Interview Questions and Answers for Experienced

Updated 6 Aug 2024

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Job Portal

Round 1 - Case Study 

Provided sales case study, asked to analyse the same ans provide insights

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

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

Round 1 - Technical 

(2 Questions)

  • Q1. Tableau interview questioins
  • Q2. SQl based quetions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Aptitude Test 

Easy question. Easy to clear the round

Round 2 - Technical 

(1 Question)

  • Q1. One to one technical questions based on SQL and python.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well in python and SQL questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Apr 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Aptitude Test 

Basic data structures, puzzles questions and statistics problems

Round 3 - One-on-one 

(5 Questions)

  • Q1. What was your previous company project
  • Q2. What are different types of indexing
  • Ans. 

    Different types of indexing include primary indexing, secondary indexing, clustered indexing, and non-clustered indexing.

    • Primary indexing: Index based on the primary key of a table, typically implemented using a B-tree structure.

    • Secondary indexing: Index based on a non-primary key column, allowing for faster retrieval of data based on that column.

    • Clustered indexing: Physically reorders the table based on the indexed co...

  • Answered by AI
  • Q3. How does random forest work
  • Ans. 

    Random forest is an ensemble learning method that builds multiple decision trees and merges their predictions.

    • Random forest creates a set of decision trees from randomly selected subsets of the training data.

    • Each tree in the random forest independently predicts the outcome, and the final prediction is made by averaging the predictions of all the trees.

    • Random forest is effective in handling high-dimensional data and can...

  • Answered by AI
  • Q4. Explain over fitting
  • Ans. 

    Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor generalization to new, unseen data.

    • Regularization techniques like L1/L2 regularization can help prevent overfitting.

    • Cross-validation can be used to detect and prevent overfitting.

    • Example: A decision tree with too...

  • Answered by AI
  • Q5. Explain macros inExcel
  • Ans. 

    Macros in Excel are automated sequences of commands that can be created to perform repetitive tasks.

    • Macros can be recorded or written using Visual Basic for Applications (VBA)

    • They can automate tasks such as formatting, data manipulation, and calculations

    • Macros can be assigned to buttons or keyboard shortcuts for easy access

    • They can save time and reduce errors in repetitive tasks

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Tiger Analytics Data Analyst interview:
  • SQL
  • Python

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
Hard
Process Duration
-
Result
No response

I applied via Campus Placement and was interviewed before Feb 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 - Coding Test 

Though I applied for Data Analyst position through campus Recruitment Program (Kolkata). It had MCQs and Coding test, but surprisingly the MCQs were about Java, OOPs concept and basic coding questions. Hardly any ML or Analytics related like Python, SQL or BI tools related questions. As if I appeared for SDE role, not sure why it happened, but later I came to know they hired none from our college.

Round 3 - Assignment 

This did not happen, as they didn't call anyone from our college.

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on the basic skills, if you have already studied OOPs and other subjects in your semester, brush them up, still in case.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Fundamental aptitude questions.

Round 2 - Coding Test 

Two medium-level questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - Study data structures and algorithms programming through LeetCode.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Logistic regression parameter tuning

I applied via Campus Placement and was interviewed in Oct 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Basic coding q , questions on probability and puzzles

Interview Preparation Tips

Interview preparation tips for other job seekers - It was a friendly and supporting interview .

I applied via Referral and was interviewed in May 2022. 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 - Aptitude Test 

2nd round consists of 10 MCQ and 2 python coding Question

Interview Preparation Tips

Interview preparation tips for other job seekers - Coding question level was medium to difficult level

Trianz Interview FAQs

How many rounds are there in Trianz Data Analyst interview for experienced candidates?
Trianz interview process for experienced candidates usually has 1 rounds. The most common rounds in the Trianz interview process for experienced candidates are Technical.
How to prepare for Trianz Data Analyst interview for experienced candidates?
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 Trianz. The most common topics and skills that interviewers at Trianz expect are Business Objects, Database Design, FRD, FRS and Gap Analysis.

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Trianz Data Analyst Interview Process for Experienced

based on 1 interview

Interview experience

4
  
Good
View more
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₹4 L/yr - ₹13 L/yr
28% more than the average Data Analyst Salary in India
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