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Philips Innovation Campus Senior Data Analyst Interview Questions and Answers

Updated 12 Jul 2023

Philips Innovation Campus Senior Data Analyst Interview Experiences

1 interview found

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

I applied via campus placement at Vellore Institute of Technology (VIT) and was interviewed before Jul 2022. There were 4 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 

For campus placement it will be a mix of logical reasoning, english proficiency , mathematical abilty etc

Round 3 - Technical 

(1 Question)

  • Q1. Checks our subject matter expertise
Round 4 - Technical 

(1 Question)

  • Q1. Manager round(for freshers)

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident in your skills.
Generally, interviews are not so difficult.
Get a good grasp on the tech stack you shared in resume.
Good luck

Interview questions from similar companies

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

I applied via Company Website and was interviewed in May 2024. There were 3 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. Self introduction
  • Q2. Preferences in life about your studies
Round 2 - One-on-one 

(2 Questions)

  • Q1. Studies based from your overall whole randomly topic wise Qs
  • Q2. Base on your studies
Round 3 - Group Discussion 

Group discussion was amazing not to muuch difficult but based on anylitical or logical questions based
GD surrounds was lite not stressed.
Some hobbies question round

Must everyone to speak atleast on one question

Interview Preparation Tips

Interview preparation tips for other job seekers - Not frusted, focus on interview rounds , one on one round. Stay motivated
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. Type of Filters in Tableau.
  • Ans. 

    Tableau offers various types of filters including quick filters, context filters, and data source filters.

    • Quick filters allow users to easily filter data by selecting values from a list.

    • Context filters are applied before other filters, affecting the data visible to subsequent filters.

    • Data source filters limit the data available to Tableau by filtering data at the data source level.

    • Other types of filters include extract...

  • Answered by AI
  • Q2. Types of refresh in Tableau
  • Ans. 

    There are two types of refresh in Tableau: Extract Refresh and Data Source Refresh.

    • Extract Refresh: Refreshes the data in Tableau extract, which is a snapshot of data from the original data source.

    • Data Source Refresh: Refreshes the data directly from the original data source.

    • Examples: Extract Refresh is useful when working with large datasets to improve performance, while Data Source Refresh ensures real-time data upda

  • Answered by AI
  • Q3. Difference in Extract and live connection.
  • Ans. 

    Extract connection imports data into Tableau workbook while live connection directly connects to data source.

    • Extract connection creates a static snapshot of data in Tableau workbook.

    • Live connection directly queries data from the source in real-time.

    • Extract connection is useful for large datasets or when offline access is needed.

    • Live connection is beneficial for real-time data analysis and dynamic updates.

    • Example: Extra...

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Coding Test 

2 leetcode easy questions were asked

Round 2 - Case Study 

Data science case study

Round 3 - HR 

(1 Question)

  • Q1. Why would you join us
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Related to core concepts like OS, DBMS and OOPs
Interview experience
5
Excellent
Difficulty level
-
Process Duration
Less than 2 weeks
Result
No response

I applied via LinkedIn

Round 1 - Technical 

(1 Question)

  • Q1. How do you do pruning
  • Ans. 

    Pruning is a technique used in machine learning to reduce the size of decision trees by removing unnecessary branches.

    • Pruning helps prevent overfitting by simplifying the model

    • There are two main types of pruning: pre-pruning and post-pruning

    • Pre-pruning involves setting a limit on the depth of the tree or the number of leaf nodes

    • Post-pruning involves removing branches that do not improve the overall accuracy of the tree

    • ...

  • Answered by AI

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Basic Aptitude questions

Round 2 - One-on-one 

(1 Question)

  • Q1. SQL Python Basic Commands and coding
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 Jul 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

It was basic aptitude but it was online

Round 2 - Technical 

(1 Question)

  • Q1. Write python code for bizzbuss for prime or not prime\
  • Ans. 

    Python code for determining if a number is prime or not and applying bizzbuzz logic.

    • Write a function to check if a number is prime or not

    • Iterate through a range of numbers and apply bizzbuzz logic

    • Return 'prime' if the number is prime, 'bizz' if divisible by 3, 'buzz' if divisible by 5, and 'bizzbuzz' if divisible by both 3 and 5

  • Answered by AI

Skills evaluated in this interview

I applied via campus placement at Madras Institute of Technology, Chennai and was interviewed in Sep 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 

Easy but time limit was the main issue to address

Round 3 - Coding Test 

Hard coding test on hacker earth platform no cameras and plagiarism tester will be on

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and precise ,so be yourself and consider good practice before test

I applied via Company Website and was interviewed before May 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Basics of regression, bias variance

Interview Preparation Tips

Topics to prepare for GE Healthcare Data Scientist interview:
  • python
Interview preparation tips for other job seekers - ML basics. Some insight into past projects

Philips Innovation Campus Interview FAQs

How many rounds are there in Philips Innovation Campus Senior Data Analyst interview?
Philips Innovation Campus interview process usually has 4 rounds. The most common rounds in the Philips Innovation Campus interview process are Technical, Resume Shortlist and Aptitude Test.

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Philips Innovation Campus Senior Data Analyst Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more

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Philips Innovation Campus Senior Data Analyst Salary
based on 4 salaries
₹14.2 L/yr - ₹19.2 L/yr
56% more than the average Senior Data Analyst Salary in India
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Philips Innovation Campus Senior Data Analyst Reviews and Ratings

based on 1 review

4.0/5

Rating in categories

3.0

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3.0

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3.0

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3.0

Job security

3.0

Company culture

3.0

Promotions

3.0

Work satisfaction

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