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Jupiter Hospital Data Analyst Interview Questions and Answers

Updated 21 Nov 2023

Jupiter Hospital Data Analyst Interview Experiences

1 interview found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 21 Nov 2023

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Be truthful in your resume. It is very easy to catch false or lies during the interview by asking basic questions.
View all tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Advance excel, pivot, Power pivot
Round 3 - Assignment 

Data analysis in excel

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 

(2 Questions)

  • Q1. What time intelligence functions can be used for ytd and qtd analysis
  • Ans. 

    Time intelligence functions like YTD (Year-to-Date) and QTD (Quarter-to-Date) can be used for YTD and QTD analysis in data analytics.

    • YTD analysis can be done using functions like YTD() or TOTALYTD() to calculate values from the beginning of the year up to the selected date.

    • QTD analysis can be done using functions like QTD() or TOTALQTD() to calculate values from the beginning of the quarter up to the selected date.

    • Thes...

  • Answered by AI
  • Q2. Difference between import and direct query
  • Ans. 

    Import brings data into Power BI for further analysis, while direct query connects to data source in real-time.

    • Import: Data is loaded into Power BI for analysis, improving performance but requiring periodic refreshes.

    • Direct Query: Connects to data source in real-time, allowing for up-to-date information but potentially slower performance.

    • Import is suitable for smaller datasets, while direct query is better for large da

  • Answered by AI

Skills evaluated in this interview

I applied via Campus Placement 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
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 Questionnaire 

1 Question

  • Q1. AWS Cloud and Python Coding

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for technical round.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. Why do want to join
  • Q2. What are your salary expectation
Interview experience
2
Poor
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - HR 

(2 Questions)

  • Q1. About your self
  • Q2. Denial or insurance
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Jan 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

It was easy to clear just simple aptitude test questions.

Round 2 - HR 

(2 Questions)

  • Q1. Tell me about yourself ?
  • Ans. 

    I am a detail-oriented analyst with a strong background in data analysis and problem-solving skills.

    • I have a Bachelor's degree in Economics with a focus on statistical analysis

    • I have experience using various data analysis tools such as Excel, SQL, and Tableau

    • I have successfully completed several projects where I analyzed data to provide actionable insights for decision-making

    • I am a quick learner and enjoy tackling comp

  • Answered by AI
  • Q2. Why you left your previous job.
  • Ans. 

    Seeking new challenges and opportunities for growth.

    • Desire for career advancement

    • Seeking new challenges

    • Company restructuring

    • Relocation

    • Better work-life balance

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. Asked me about the RCM cycle and denials ?
  • Q2. Asked me about my previous job and experience?

Interview Preparation Tips

Interview preparation tips for other job seekers - Just study everything you don't know what will they asked you.

Interview Questionnaire 

2 Questions

  • Q1. Excel test Sql test
  • Q2. Experience Career objected Technically round

Jupiter Hospital Interview FAQs

How many rounds are there in Jupiter Hospital Data Analyst interview?
Jupiter Hospital interview process usually has 3 rounds. The most common rounds in the Jupiter Hospital interview process are Resume Shortlist, One-on-one Round and Assignment.
How to prepare for Jupiter Hospital 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 Jupiter Hospital. The most common topics and skills that interviewers at Jupiter Hospital expect are Advanced Excel, Data Analysis, Data Extraction, Excel Report Preparation and MIS Preparation.

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Jupiter Hospital Data Analyst Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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