Upload Button Icon Add office photos

Tredence

Compare button icon Compare button icon Compare

Filter interviews by

Tredence Analytics Manager Interview Questions, Process, and Tips

Updated 3 Oct 2024

Top Tredence Analytics Manager Interview Questions and Answers

Tredence Analytics Manager Interview Experiences

3 interviews found

Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Technical 

(2 Questions)

  • Q1. Use lambda function in a python code.
  • Ans. 

    Lambda functions are anonymous functions in Python that can have any number of arguments but only one expression.

    • Lambda functions are defined using the lambda keyword.

    • They are commonly used with functions like map(), filter(), and reduce().

    • Example: double = lambda x: x * 2

  • Answered by AI
  • Q2. Define precision, recall and f1 score.
  • Ans. 

    Precision, recall, and F1 score are metrics used to evaluate the performance of classification models.

    • Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.

    • Recall is the ratio of correctly predicted positive observations to the all observations in actual class.

    • F1 score is the harmonic mean of precision and recall, providing a balance between the two metrics.

    • Pre...

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. What is the significance of elbow curve in clustering?
  • Ans. 

    Elbow curve helps in determining the optimal number of clusters in a dataset.

    • Elbow curve is a plot of the number of clusters against the within-cluster sum of squares (WCSS).

    • The point where the rate of decrease of WCSS sharply changes is considered as the optimal number of clusters.

    • It helps in finding the balance between having too few or too many clusters.

    • For example, if the elbow point is at 3 clusters, it suggests t

  • Answered by AI
  • Q2. What is the significance of support, confidence and lift in market basket analysis?
  • Ans. 

    Support, confidence, and lift are key metrics in market basket analysis to identify relationships between items in a transaction.

    • Support measures how frequently an itemset appears in the dataset.

    • Confidence measures the likelihood that an item B is purchased when item A is purchased.

    • Lift measures how much more likely item B is purchased when item A is purchased compared to when item B is purchased independently of item ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through your resume and prepare questions based on that

Skills evaluated in this interview

I applied via LinkedIn and was interviewed in Jul 2022. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Python,SAS, Visualisation
Round 2 - Behavioral 

(1 Question)

  • Q1. People management, stakeholders management
Round 3 - Behavioral 

(1 Question)

  • Q1. Interview on estimations and client interaction

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview was quite elaborate. Covered questions on all aspects of management.
HR round is the last round

Analytics Manager Interview Questions Asked at Other Companies

Q1. How do you go about setting up data strategy for a new lending bu ... read more
asked in Tredence
Q2. What is the significance of support, confidence and lift in marke ... read more
asked in PwC
Q3. Any analytics project that I have done, method, data gathering an ... read more
asked in Shuttl
Q4. How would a customer choose between alternative modes of transpor ... read more
asked in Tredence
Q5. What is the significance of elbow curve in clustering?

I applied via LinkedIn and was interviewed in May 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 - One-on-one 

(2 Questions)

  • Q1. Basic screening of resume and past experiences
  • Q2. Data analysis case studies like IPL
Round 3 - One-on-one 

(1 Question)

  • Q1. The interviewer was in a hurry as there was another scheduled meeting for him and was in a hurry to wind up. Not a pleasant experience overall.

Interview Preparation Tips

Interview preparation tips for other job seekers - SQL, Python, Data visualization should be strong for the role

Interview questions from similar companies

I applied via Campus Placement and was interviewed before Jul 2021. There were 3 interview rounds.

Round 1 - Aptitude Test 

The aptitude test contains questions MCQs for quants, basic statistics and basic coding questions. The aptitude also has 2 coding problems to solve which would be of easy-medium level.

Round 2 - Coding Test 

The second round was live coding test, where the interviewer looks for your approach towards solving a given problem. The approach matters more than the correct syntax. All coding languages were allowed. SQL queries can also be asked.

Round 3 - Technical 

(1 Question)

  • Q1. Technical cum HR round contains language specific questions as well questions based on mathematics and statistics. Questions can be little bit tricky.

Interview Preparation Tips

Topics to prepare for Tiger Analytics Analyst interview:
  • Python
  • SQL
  • Mathematics
  • Statistics
  • Coding
Interview preparation tips for other job seekers - The interviewer would look for your basics and your approach towards a problem rather than answering without your thought process. So make sure, you walkthrough your approach while solving the question.

I applied via Approached by Company and was interviewed before Aug 2021. There were 3 interview rounds.

Round 1 - Coding Test 

1st Round consisted of Technical Discussion and Coding Round. I was asked to write down the logic for Prime no., Fibonacci Series, Matrix related question, etc.

Round 2 - Coding Test 

I was asked to share my screen and write down logic for questions related to Strings, Arrays and 2-D matrix's.

Round 3 - Technical 

(2 Questions)

  • Q1. Discussion About the previous projects done. Detailed questions about the technique used and algorithm related questions.
  • Q2. Few basic questions about ML. eg: Linear Regression, Logistic Regression, etc.

Interview Preparation Tips

Interview preparation tips for other job seekers - Overall the interview was great. Mostly the interview panel stuck to basic questions.

I applied via Naukri.com and was interviewed in Dec 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Basics of DS and algorithms

Interview Preparation Tips

Interview preparation tips for other job seekers - be thorough in data structures and algorithms

Interview Questionnaire 

4 Questions

  • Q1. Azure Services
  • Q2. OOPS
  • Q3. Design Patterns
  • Q4. Angular Basics

I applied via Company Website and was interviewed before May 2021. There were 5 interview rounds.

Round 1 - Aptitude Test 

Online test with questions from probability and reasoning

Round 2 - Case Study 

A case study for which we need to create a dashboard and a power point presentation.

Round 3 - Coding Test 

SQL written test

Round 4 - Technical 

(2 Questions)

  • Q1. Technical round. Interviewed by two member panel.
  • Q2. About Tableau Previous projects SQL
Round 5 - HR 

(1 Question)

  • Q1. Common questions like expectations, salary expectations etc.

Interview Preparation Tips

Topics to prepare for Tiger Analytics Business Analyst interview:
  • SQL
  • Data Visualization
  • PROBABILITY
Interview preparation tips for other job seekers - Be confident and prepare well. Practice different SQL scenarios and get well versed with all the advanced sql functions.

Interview Questionnaire 

1 Question

  • Q1. Basic javascript questions , clouser, promise

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepared well on basic of javascript

Interview Questionnaire 

2 Questions

  • Q1. 1.Implement merge sort. 2. Kth largest element.
  • Ans. 

    Implement merge sort and find kth largest element in an array.

    • Merge sort is a divide and conquer algorithm that recursively divides the array into two halves, sorts them and then merges them.

    • Kth largest element can be found using quick select algorithm or by sorting the array and returning the kth element from the end.

    • Merge sort has a time complexity of O(nlogn) and space complexity of O(n).

    • Quick select has a time comp...

  • Answered by AI
  • Q2. Springboot RestTemplate, singleton, oops

Skills evaluated in this interview

Tredence Interview FAQs

How many rounds are there in Tredence Analytics Manager interview?
Tredence interview process usually has 2-3 rounds. The most common rounds in the Tredence interview process are Technical, Behavioral and One-on-one Round.
How to prepare for Tredence Analytics Manager 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 Tredence. The most common topics and skills that interviewers at Tredence expect are Analytics, SQL, Python, R and Data Science.
What are the top questions asked in Tredence Analytics Manager interview?

Some of the top questions asked at the Tredence Analytics Manager interview -

  1. What is the significance of support, confidence and lift in market basket analy...read more
  2. What is the significance of elbow curve in clusteri...read more
  3. Use lambda function in a python co...read more

Tell us how to improve this page.

Tredence Analytics Manager Interview Process

based on 1 interview

Interview experience

2
  
Poor
View more

Interview Questions from Similar Companies

ITC Infotech Interview Questions
3.6
 • 337 Interviews
CitiusTech Interview Questions
3.4
 • 273 Interviews
NeoSOFT Interview Questions
3.6
 • 267 Interviews
Tiger Analytics Interview Questions
3.7
 • 226 Interviews
Episource Interview Questions
3.9
 • 220 Interviews
Altimetrik Interview Questions
3.8
 • 219 Interviews
Xoriant Interview Questions
4.1
 • 183 Interviews
Incedo Interview Questions
3.1
 • 182 Interviews
View all
Tredence Analytics Manager Salary
based on 35 salaries
₹23 L/yr - ₹38 L/yr
25% more than the average Analytics Manager Salary in India
View more details

Tredence Analytics Manager Reviews and Ratings

based on 4 reviews

3.2/5

Rating in categories

3.9

Skill development

2.2

Work-life balance

3.7

Salary

3.1

Job security

2.9

Company culture

2.9

Promotions

3.3

Work satisfaction

Explore 4 Reviews and Ratings
Consultant
428 salaries
unlock blur

₹6.5 L/yr - ₹22 L/yr

Associate Manager
383 salaries
unlock blur

₹11 L/yr - ₹37 L/yr

Senior Business Analyst
251 salaries
unlock blur

₹6.5 L/yr - ₹17 L/yr

Data Engineer
219 salaries
unlock blur

₹6 L/yr - ₹22 L/yr

Senior Software Engineer
177 salaries
unlock blur

₹7.8 L/yr - ₹24 L/yr

Explore more salaries
Compare Tredence with

ITC Infotech

3.6
Compare

CMS IT Services

3.1
Compare

KocharTech

3.9
Compare

Xoriant

4.1
Compare
Did you find this page helpful?
Yes No
write
Share an Interview