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Morningstar Junior Data Analyst Interview Questions, Process, and Tips

Updated 24 Jul 2022

Morningstar Junior Data Analyst Interview Experiences

1 interview found

I applied via Naukri.com and was interviewed in Jun 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 - Technical 

(4 Questions)

  • Q1. What is the main difference between data mining and data analysis?
  • Ans. 

    Data mining involves discovering patterns and relationships in large datasets, while data analysis focuses on interpreting and drawing insights from data.

    • Data mining is the process of extracting useful information from large datasets.

    • Data analysis involves examining and interpreting data to draw conclusions and make informed decisions.

    • Data mining uses techniques like clustering, classification, and association to disco...

  • Answered by AI
  • Q2. What is data validation?
  • Ans. 

    Data validation is the process of ensuring that data is accurate, complete, and consistent.

    • Data validation involves checking data for errors, inconsistencies, and anomalies.

    • It helps to ensure data quality and reliability.

    • Validation can be done through various techniques such as range checks, format checks, and cross-field validation.

    • Examples of data validation include verifying that a phone number has the correct numbe...

  • Answered by AI
  • Q3. Explain the main steps involved in data analysis ?
  • Ans. 

    Data analysis involves several steps including data collection, data cleaning, data exploration, data modeling, and data visualization.

    • Data collection: Gathering relevant data from various sources.

    • Data cleaning: Removing any errors, inconsistencies, or missing values from the data.

    • Data exploration: Analyzing the data to understand its characteristics and identify patterns or trends.

    • Data modeling: Applying statistical o...

  • Answered by AI
  • Q4. Explain what data cleansing is
  • Ans. 

    Data cleansing is the process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in datasets.

    • Data cleansing involves identifying and handling missing values in datasets.

    • It also includes removing duplicate records or entries.

    • Data cleansing may involve correcting spelling mistakes or formatting issues in data.

    • It helps improve data quality and reliability for analysis and decision-making.

    • E...

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Why do you want to work at our company
Round 4 - Assignment 

Assignments based on data analyst

Interview Preparation Tips

Interview preparation tips for other job seekers - Encourage yourself up and stay positive :)

Skills evaluated in this interview

Interview questions from similar companies

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

Interview Questionnaire 

2 Questions

  • Q1. Usecases about how did you handle such situations
  • Q2. They asked about the skills mentioned in my resume

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and remember what you have mentioned in your resume and how would you use those skills in real life
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(1 Question)

  • Q1. Basic Introduction and work experience
Round 2 - One-on-one 

(2 Questions)

  • Q1. In depth discussion about the job role and requirements
  • Q2. Why choosing this role and skills you have
  • Ans. 

    I chose this role because of my passion for analyzing data and problem-solving skills.

    • I have a strong background in data analysis and problem-solving from my previous roles.

    • I enjoy working with data and finding insights to drive business decisions.

    • I have excellent communication skills to effectively collaborate with stakeholders and translate data into actionable insights.

  • Answered by AI

I applied via Recruitment Consultant and was interviewed in Jul 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Data manipulation using pandas and SQL
  • Ans. 

    Data manipulation using pandas and SQL

    • Pandas is a Python library used for data manipulation and analysis

    • SQL is a language used for managing relational databases

    • Pandas can read data from SQL databases using the read_sql() function

    • Data can be filtered, sorted, grouped, and aggregated using pandas functions

    • SQL queries can be executed using pandas' read_sql_query() function

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep the communication simple and clear, explain the work experience clearly

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Technical.purely
Round 2 - One-on-one 

(1 Question)

  • Q1. Purely tech..and then you present a dashboard on power bi
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Aug 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Simple and basic coding knowledge is enough to clear this round

Round 2 - Technical 

(2 Questions)

  • Q1. Technical questions
  • Q2. Varied based on person

Interview Preparation Tips

Topics to prepare for Mr Cooper Data Analyst interview:
  • Python
  • C++
  • Java
  • Communication Skills
Interview preparation tips for other job seekers - Coding skills are mandatory to get recruited in the company. Communication skills are must.
Interview experience
5
Excellent
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. Past experience queries and some tech questions related to past projects
Round 2 - Technical 

(1 Question)

  • Q1. Some mainframe, CIBIL and db2 questions
Round 3 - HR 

(1 Question)

  • Q1. General questions
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. What were your biggest weaknesses
  • Q2. Tell me about a time when you went above and beyond
  • Ans. 

    I volunteered to work overtime to complete a critical project ahead of schedule.

    • Offered to work extra hours to meet project deadline

    • Took on additional tasks to ensure project success

    • Collaborated with team members to streamline processes and improve efficiency

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

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

Round 1 - Aptitude Test 

30 questions: aptitude ,output questions, 3 coding questions

Round 2 - Assignment 

Mostly to connect front end and backend

Interview Preparation Tips

Topics to prepare for Mr Cooper Data Analyst interview:
  • datastructures
  • heap
Interview experience
2
Poor
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Top 7 th employee salary
Find Duplicates

Round 2 - Technical 

(3 Questions)

  • Q1. Trigger Stored procedure
  • Ans. 

    A trigger is a special type of stored procedure that is automatically executed when certain events occur in a database.

    • Triggers are used to enforce business rules, maintain data integrity, and automate tasks.

    • They can be set to execute before or after INSERT, UPDATE, or DELETE operations on a table.

    • For example, a trigger can be created to update a log table whenever a new record is inserted into a main table.

  • Answered by AI
  • Q2. Gateway Different modes in power bi
  • Ans. 

    Power BI has different modes like View, Edit, and Data Source.

    • View mode allows users to interact with reports and dashboards

    • Edit mode enables users to modify existing reports and create new ones

    • Data Source mode allows users to connect to and manipulate data sources

  • Answered by AI
  • Q3. Nothing to get importance no words

Skills evaluated in this interview

Morningstar Interview FAQs

How many rounds are there in Morningstar Junior Data Analyst interview?
Morningstar interview process usually has 4 rounds. The most common rounds in the Morningstar interview process are Resume Shortlist, Technical and HR.
What are the top questions asked in Morningstar Junior Data Analyst interview?

Some of the top questions asked at the Morningstar Junior Data Analyst interview -

  1. What is the main difference between data mining and data analys...read more
  2. Explain the main steps involved in data analysi...read more
  3. What is data validati...read more

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