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Meta Data Analyst Interview Questions and Answers
Meta Data Analyst Interview Experiences
2 interviews found
Anonymous
I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. How would you rate your SQL skills
- Ans.
I would rate my SQL skills as advanced.
Proficient in writing complex SQL queries
Experienced in optimizing database performance
Skilled in data manipulation and analysis using SQL
Familiar with stored procedures and functions
Have worked on large datasets in previous projects
- Q2. How would you rate your Python skills
- Ans.
I would rate my Python skills as advanced.
Proficient in data manipulation and analysis using pandas and numpy
Experience with data visualization libraries like matplotlib and seaborn
Familiar with machine learning libraries such as scikit-learn
Comfortable working with APIs and web scraping using requests and BeautifulSoup
Skills evaluated in this interview
I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.
(1 Question)
- Q1. SQL - joins, window functions
Interview Preparation Tips
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I applied via LinkedIn and was interviewed before Nov 2020. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. Real life example of usage of Window functions - lag and lead
- Ans.
Window functions like lag and lead are used to analyze data over a specific range or window.
Lag function can be used to calculate the difference between current and previous values in a time series data.
Lead function can be used to calculate the difference between current and future values in a time series data.
Window functions can be used to calculate moving averages, cumulative sums, and other statistical measures.
Fo...
Interview Preparation Tips
Skills evaluated in this interview
I applied via Company Website and was interviewed in Apr 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Why should we hire you?
- Ans. Because you will never get some one like me.
Interview Preparation Tips
I applied via Company Website and was interviewed before Aug 2021. There were 3 interview rounds.
Simple aptitude and coding test, I was selected from national talent hunt exam
(1 Question)
- Q1. Discussion about projects and Areas of interest
(1 Question)
- Q1. Basic questions like ok with location, shifts etc
Interview Preparation Tips
- Leetcode
- Data Structures
- Python
Interview Questionnaire
1 Question
- Q1. What is yr salary expectation
Interview Questionnaire
3 Questions
- Q1. About my self and my experience.
- Q2. What's the reason for leaving previous job?
- Q3. Technical question depends on process.
I applied via Naukri.com and was interviewed before Aug 2021. There were 2 interview rounds.
(1 Question)
- Q1. What is Structured Query Language?
- Ans.
Structured Query Language (SQL) is a programming language used to manage and manipulate relational databases.
SQL is used to create, modify, and delete databases, tables, and data
It is used to retrieve data from databases using queries
SQL is used to perform operations on data such as sorting, filtering, and grouping
Examples of SQL-based database management systems include MySQL, Oracle, and Microsoft SQL Server
Interview Preparation Tips
Skills evaluated in this interview
I applied via Recruitment Consultant and was interviewed in Aug 2020. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. Prior experience,questions related to data analysis tools.
Interview Preparation Tips
The reason behind the offer letter delay is they have to get approvals from multiple teams which creates a delay on the process.
I applied via Company Website and was interviewed before Jun 2020. There were 4 interview rounds.
Interview Questionnaire
2 Questions
- Q1. Python data structures
- Q2. MongoDB database algorithms
- Ans.
MongoDB database algorithms are used for efficient data storage, retrieval, and processing.
MongoDB uses various algorithms for indexing, sharding, and aggregation.
Indexing algorithms include B-tree, hash, and text search indexes.
Sharding algorithms include range-based, hash-based, and zone-based sharding.
Aggregation algorithms include map-reduce and aggregation pipeline.
MongoDB also uses algorithms for query optimizati
Interview Preparation Tips
Skills evaluated in this interview
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