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Archwell Operations Data Analyst Interview Questions and Answers

Updated 9 Aug 2022

Archwell Operations Data Analyst Interview Experiences

1 interview found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 9 Aug 2022

I applied via Referral and was interviewed before Aug 2021. There were 2 interview rounds.

Round 1 - Group Discussion 

Come topics of present issues people are facing nowdays.

Round 2 - One-on-one 

(1 Question)

  • Q1. Self introduction, skills

Interview Preparation Tips

Topics to prepare for Archwell Operations Data Analyst interview:
  • Corporate Presentations
Interview preparation tips for other job seekers - Be confident when you are introducing yourself, its shows your stability..

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is the pivot table in Excel
  • Ans. 

    A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.

    • Allows users to summarize and analyze large datasets

    • Can easily reorganize data by dragging and dropping fields

    • Provides options to calculate sums, averages, counts, etc. for data

    • Helps in creating interactive reports and charts

    • Useful for identifying trends and patterns in data

  • Answered by AI
  • Q2. A pivot table is used to summarize...........etc.

Interview Preparation Tips

Interview preparation tips for other job seekers - "tailor your resume for each job application."

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. Situation based question on experience

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared for what is in CV
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Case Study 

Forecasting problem - Predict daily sku level sales

Round 2 - Technical 

(2 Questions)

  • Q1. What is difference between bias and variance
  • Ans. 

    Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.

    • Bias is the error introduced by approximating a real-world problem, leading to underfitting.

    • Variance is the error introduced by modeling the noise in the training data, leading to overfitting.

    • High bias can cause a model to miss relevant relationships between features and target variable.

    • High variance can cause a model to ...

  • Answered by AI
  • Q2. Parametric vs non parametruc model
  • Ans. 

    Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.

    • Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.

    • Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.

    • Examples of parametric models inc...

  • Answered by AI

Skills evaluated in this interview

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

Easy and moderate level question

Round 2 - Group Discussion 

Given a relevant topic and discussion on it

Round 3 - HR 

(2 Questions)

  • Q1. Introducd yourself
  • Q2. Why do you want to join us
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Mar 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Mostly about projects ml, nlp, python code would be asked
Round 2 - Technical 

(1 Question)

  • Q1. It would be focused on technical stuff in detail ml, nlp, deployments etc
Round 3 - HR 

(1 Question)

  • Q1. Organisation fit
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is the full form of ETL?
  • Ans. 

    ETL stands for Extract, Transform, Load. It is a process used in data warehousing to extract data from various sources, transform it into a consistent format, and load it into a target database.

    • ETL stands for Extract, Transform, Load

    • Extract: Involves extracting data from various sources such as databases, applications, and files

    • Transform: Involves cleaning, filtering, and transforming the extracted data into a consiste...

  • Answered by AI
  • Q2. ETL Full form is Exact, Transform, Load.

Interview Preparation Tips

Interview preparation tips for other job seekers - "Stay persistent, network, actively, continuously upgrade your skills."

Interview Questionnaire 

1 Question

  • Q1. Situation based question on experience

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared for what is in CV
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
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 

Reasoning and aptitude questions were asked

Round 3 - One-on-one 

(1 Question)

  • Q1. Interview was around python programming and team fitment
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is overfitting in machine learning?
  • Ans. 

    Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.

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

    • It leads to poor performance on unseen data as the model fails to generalize well.

    • Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

    • ...

  • Answered by AI
  • Q2. Overfitting accurs when a model learns the details.......etc
  • Ans. 

    Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.

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

    • It leads to poor generalization and high accuracy on training data but low accuracy on new data.

    • Techniques to prevent overfitting include cross-validation, regularization, and...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Research the company before interview.

Archwell Operations Interview FAQs

How many rounds are there in Archwell Operations Data Analyst interview?
Archwell Operations interview process usually has 2 rounds. The most common rounds in the Archwell Operations interview process are Group Discussion and One-on-one Round.

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Archwell Operations Data Analyst Salary
based on 5 salaries
₹2 L/yr - ₹4 L/yr
52% less than the average Data Analyst Salary in India
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5.0/5

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