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Marketing Management Analytics Data Analyst Interview Questions and Answers
Marketing Management Analytics Data Analyst Interview Experiences
1 interview found
(2 Questions)
- Q1. Can R sq be negative?
- Ans.
No, R sq cannot be negative as it represents the proportion of the variance in the dependent variable that is predictable from the independent variable.
R sq (R-squared) ranges from 0 to 1, where 0 indicates that the model does not explain any of the variability of the response data around its mean, and 1 indicates that the model explains all the variability.
A negative R sq value would imply that the model is worse at p...
- Q2. Describe the regression process
- Ans.
Regression process involves fitting a mathematical model to data points to predict outcomes.
Identify the relationship between the independent and dependent variables
Choose the appropriate regression model (linear, logistic, etc.)
Collect and preprocess data
Split data into training and testing sets
Fit the regression model to the training data
Evaluate the model using metrics like R-squared, Mean Squared Error, etc.
Use the
Skills evaluated in this interview
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Kaustubh J Tikotikar
I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.
(3 Questions)
- Q1. About SQL basics such as difference between delete and truncate, and some basic definitions.
- Q2. About Python basics such as list, tuple and all.
- Q3. Basic questions about Excel.
(2 Questions)
- Q1. Salary Negotiation
- Q2. About Company Work Culture
Interview Preparation Tips
- SQL
- Python
- Excel
(2 Questions)
- Q1. Inorder, preorder , Postorder traversal of tree with full code
- Q2. Check valid anagram?
- Ans.
To check if two strings are valid anagrams, compare their sorted versions.
Sort both strings and compare if they are equal.
Ignore spaces and punctuation when sorting.
Example: 'listen' and 'silent' are valid anagrams.
Example: 'hello' and 'world' are not valid anagrams.
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed in Jul 2024. There were 2 interview rounds.
(2 Questions)
- Q1. SQL Questions basic
- Q2. GCP Question basic
(2 Questions)
- Q1. Sql Question basic
- Q2. GCP Question basic
Interview Preparation Tips
I applied via Recruitment Consulltant and was interviewed in Jul 2024. There was 1 interview round.
(2 Questions)
- Q1. Tableau interview questioins
- Q2. SQl based quetions
Selected
I applied via Job Portal and was interviewed in Apr 2024. There were 3 interview rounds.
Critical question in maths
General topic about current situation
(1 Question)
- Q1. About ourselves and resume
Data Analyst Interview Questions & Answers
Verity Knowledge Solutions
Anonymous
posted on 18 Dec 2023
I applied via campus placement at National Institute of Technology (NIT), Tiruchirappalli and was interviewed in Jun 2023. There were 2 interview rounds.
(2 Questions)
- Q1. What is JIT manufacturing?
- Ans.
JIT manufacturing, or Just-in-Time manufacturing, is a production strategy that focuses on producing goods or services at the exact time they are needed.
JIT manufacturing aims to minimize inventory and reduce waste by producing goods only when they are required.
It relies on accurate demand forecasting and efficient supply chain management.
By implementing JIT manufacturing, companies can save costs associated with exces...
- Q2. Geeksforgeek situational questions
(2 Questions)
- Q1. Why did you choose finance?
- Q2. What made you interested in financial banking?
- Ans.
I have always been fascinated by the intricate workings of the financial banking industry.
I am drawn to the complexity and challenges of analyzing financial data.
I find the impact of financial decisions on businesses and individuals intriguing.
I enjoy working with numbers and using data to uncover insights and make informed decisions.
I appreciate the stability and growth opportunities that the financial banking sector ...
Selected
I applied via Recruitment Consulltant and was interviewed before Apr 2023. There was 1 interview round.
(3 Questions)
- Q1. Tell me about yourself
- Q2. What is partitioning
- Ans.
Partitioning is the process of dividing a large dataset into smaller, more manageable parts based on certain criteria.
Partitioning helps in improving query performance by reducing the amount of data that needs to be processed.
It can be done based on ranges, hash values, or specific columns in the dataset.
For example, partitioning a sales dataset by date can help in quickly retrieving sales data for a specific time peri
- Q3. Your experience with cloud warehouse
- Ans.
I have experience working with cloud warehouses such as Amazon Redshift and Google BigQuery.
Utilized Amazon Redshift to store and analyze large datasets for a retail company
Implemented ETL processes in Google BigQuery to transform and load data for a marketing campaign analysis
Optimized queries in Snowflake to improve performance for a financial services client
Interview Preparation Tips
- ETL Testing
- AWS
- thoughtspot
Skills evaluated in this interview
pratik mungekar
I applied via Campus Placement and was interviewed in Feb 2022. There was 1 interview round.
(1 Question)
- Q1. Tell me about Projects done during course
Interview Preparation Tips
I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.
(3 Questions)
- Q1. Introduce youself
- Ans.
I am a data analyst with a strong background in statistics and data visualization.
Experienced in using tools like SQL, Python, and Tableau for data analysis
Skilled in interpreting and presenting data insights to stakeholders
Strong understanding of statistical methods and data modeling techniques
- Q2. How are you suitable for this role
- Ans.
I have a strong background in data analysis, with experience in utilizing various analytical tools and techniques to derive insights from data.
I have a degree in Statistics and have completed multiple data analysis projects during my academic career.
I am proficient in using programming languages such as Python and R for data analysis.
I have experience in working with SQL databases and extracting data for analysis.
I hav...
- Q3. Explain your projects
- Ans.
I have worked on various projects involving data analysis, visualization, and interpretation.
Developed predictive models using machine learning algorithms
Performed data cleaning and preprocessing to ensure accuracy
Created interactive dashboards for data visualization
Conducted A/B testing to analyze the impact of changes
Collaborated with cross-functional teams to derive insights from data
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