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Zenarate Data Analyst Interview Questions and Answers
Zenarate Data Analyst Interview Experiences
1 interview found
Anonymous
(1 Question)
- Q1. Join complex query from sql
- Ans.
Joining complex queries in SQL requires understanding of table relationships and proper use of join statements.
Understand the relationships between the tables involved in the query
Use appropriate join statements such as INNER JOIN, LEFT JOIN, RIGHT JOIN, or FULL JOIN
Ensure proper filtering and grouping of data to get the desired results
Skills evaluated in this interview
Interview questions from similar companies
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
(4 Questions)
- Q1. Was Given two small tables and was asked the total no of rows returned for each kind of join.
- Q2. In Tableau if the underlining table columns keep on changing than what can be done so that it wont affect on the view level.
- Ans.
Create calculated fields in Tableau to dynamically adjust to changing table columns.
Use calculated fields to reference specific columns by name instead of position.
Utilize parameters to allow users to select which columns to display.
Consider using custom SQL queries to dynamically adjust to changing table structure.
- Q3. Row level security
- Q4. Tell me about your project
- Ans.
Developed a predictive model to forecast customer churn for a telecommunications company.
Utilized machine learning algorithms such as logistic regression and random forest
Performed data preprocessing and feature engineering to improve model performance
Collaborated with business stakeholders to understand key drivers of churn
Achieved 85% accuracy in predicting customer churn
Interview Preparation Tips
Selected
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Can you provide an overview of your background, including your past experiences and daily activities, as well as the tools you use in your routine?
- Q2. What are the concepts of advanced Excel and Power BI projects, and how are they utilized within a company or for clients?
(2 Questions)
- Q1. Can you explain your project experience related to Advanced Excel and Power BI?
- Q2. What are the concepts of credit and operations, particularly in relation to Know Your Customer (KYC) procedures and the privacy of client data?
Interview Preparation Tips
Sql python bigdata hadoop hive spark
1 hour simple coding python sql
(5 Questions)
- Q1. Advantages of sql
- Ans.
SQL allows for efficient data retrieval, manipulation, and analysis in relational databases.
SQL is widely used in querying databases to retrieve specific data.
It allows for data manipulation, such as adding, updating, and deleting records.
SQL can perform complex data analysis tasks, such as aggregations and joins.
It provides a standardized language for interacting with relational databases.
SQL is essential for generati...
- Q2. Advantages of python
- Ans.
Python is a versatile programming language known for its simplicity, readability, and vast library support.
Easy to learn and use, making it ideal for beginners and experienced programmers alike
Extensive library support for data analysis, machine learning, web development, and more
Strong community support with active forums and resources for problem-solving
Cross-platform compatibility allows for seamless integration wit...
- Q3. Spark and its benefits
- Ans.
Spark is a fast and powerful big data processing framework that offers benefits like speed, ease of use, and versatility.
Spark is known for its speed, as it can process data up to 100 times faster than traditional Hadoop MapReduce.
It offers ease of use with high-level APIs in Java, Scala, Python, and SQL, making it accessible to a wide range of users.
Spark is versatile, supporting various workloads such as batch proces...
- Q4. Why to leave the company
- Q5. Huddles of data engineer
- Ans.
Huddles of data engineers refer to collaborative meetings or discussions among data engineers to share insights, solve problems, and make decisions.
Huddles are typically informal and can be scheduled or ad-hoc.
They provide a platform for data engineers to brainstorm, troubleshoot, and exchange ideas.
Huddles may involve reviewing code, discussing data pipelines, or addressing technical challenges.
Effective huddles promo...
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Self introduction
- Q2. About Job role
About my relationship with team members and team leader
shrishti patel
Selected
(1 Question)
- Q1. Python and sql related question
(1 Question)
- Q1. Pandas numpy visualisation sql
Alteryx data processing and reporting
Selected
I applied via Company Website and was interviewed in Sep 2024. There were 3 interview rounds.
Genral aptitude questions
40 mins to solve 2 dsa questions
(2 Questions)
- Q1. Print the number of characters present in your name
- Ans.
My name has 10 characters.
Count the number of characters in your name
Include spaces and special characters if present
Use a programming language or tool to calculate the length of your name
- Q2. SQL questions and basic dsa questions
Interview Preparation Tips
Nishu Goud
I applied via Walk-in and was interviewed in Nov 2024. There was 1 interview round.
(2 Questions)
- Q1. What is powerbi
- Q2. What is enumeration
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
(2 Questions)
- Q1. Explain difference between joins
- Q2. What is your area of intrest
Interview Preparation Tips
(2 Questions)
- Q1. What is data normalization and why is it important?
- Ans.
Data normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.
Data normalization involves breaking down data into smaller, manageable parts to avoid duplication.
It helps in reducing data redundancy and inconsistencies, leading to improved data integrity.
Normalization also helps in optimizing database performance by reducing storage space and improving query efficienc...
- Q2. Linear aggression
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