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ConcertAI Data Analyst Interview Questions and Answers
ConcertAI Data Analyst Interview Experiences
3 interviews found
Anonymous
Selected
I was interviewed in Mar 2023.
(3 Questions)
- Q1. Walk me through your profile
- Q2. Explain one of your projects (specifically market segmentation)
- Q3. Challenges faced / learning from this projecf
- Ans.
The main challenge faced in this project was dealing with large volumes of unstructured data.
Managing and cleaning large datasets
Dealing with unstructured data sources
Implementing data normalization techniques
Handling missing or incomplete data
Ensuring data quality and accuracy
(2 Questions)
- Q1. Again similar questions as in Round 1, this round was done with my US manager
- Q2. SQL questions, how would I go about an analytics related to one of my requests
Interview Preparation Tips
- APLD
- HCP Analytics
- Market Segmentation
- SQL
- Analytics Planning
Selected
I applied via Referral and was interviewed before Jul 2023. There were 3 interview rounds.
Access knowledge regarding oncology and data
(1 Question)
- Q1. What is cancer and it’s classification
(1 Question)
- Q1. Why we want to hire you
- Ans.
I have a strong background in data analysis, with proven experience in delivering actionable insights and driving business growth.
I have a solid understanding of statistical analysis and data visualization techniques
I have experience working with various data analysis tools such as SQL, Python, and Tableau
I have a track record of successfully completing data projects on time and within budget
I am a quick learner and ha
Interview Preparation Tips
Interview Questionnaire
1 Question
- Q1. Breast cancer, classification of general cancer, TNM staging, antineoplastic agents, classification, targeted therapy, MAB, etc
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I was interviewed in Dec 2024.
(6 Questions)
- Q1. Tell me About Yourself
- Ans.
I am a data analyst with a background in statistics and experience in analyzing large datasets.
Background in statistics
Experience in analyzing large datasets
Proficient in data visualization tools like Tableau
Strong problem-solving skills
Excellent communication skills
- Q2. Project working and day to day activities I do
- Q3. Rate Yourself In SQL out of 5
- Ans.
I would rate myself a 4 out of 5 in SQL proficiency.
Proficient in writing complex SQL queries
Experienced in optimizing database performance
Familiar with data manipulation and analysis functions
Comfortable working with large datasets
- Q4. Sql 3 question based on windows function
- Q5. Very basic python 2 Question
- Q6. What You do on power bi in your work Explain with full details workflow
- Ans.
I use Power BI to analyze and visualize data for insights and decision-making in my work.
Connect to data sources to import data
Transform and clean data using Power Query Editor
Create relationships between different data tables
Design interactive reports and dashboards
Use DAX formulas for calculations and measures
Share reports with stakeholders and collaborate on insights
(1 Question)
- Q1. All 3 sql Questions very simple Round but they didn't provide any Data tables just tell this and that so it may get confusing I slove 2 out of three but rejected on this Round questions Are intermidate
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
I applied via AmbitionBox and was interviewed in Nov 2024. There were 3 interview rounds.
(1 Question)
- Q1. I have finished Btech in Cse AI&ML taken datascience course looking for job
NLP is my favorite subject. Is relatated medical and sign language. I have done reseach with mechien learning and AI TOOLS used for problem solving approach.
A group discussion was conducted on data-based management regarding Mr. Adani's food industry products in the state of Gujarat and their exports to other countries, utilizing data analytics.
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
shrishti patel
Selected
(1 Question)
- Q1. Python and sql related question
(1 Question)
- Q1. Pandas numpy visualisation sql
Alteryx data processing and reporting
I applied via Walk-in and was interviewed in Nov 2024. There were 2 interview rounds.
Online aptitude test with maths and statistics and data analysis
(1 Question)
- Q1. Joins sql groups python numpy pandas
ananthakrishnan
Selected
I applied via Campus Placement and was interviewed in Nov 2024. There was 1 interview round.
(2 Questions)
- Q1. What is star topology
- Q2. Hybrid topology
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ConcertAI Data Analyst Interview Process
based on 2 interviews
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based on 6 reviews
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