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Addend Analytics Data Analyst Interview Questions and Answers

Updated 23 Nov 2024

Addend Analytics Data Analyst Interview Experiences

2 interviews found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 23 Nov 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Introduce yourself
  • Q2. What you rate yourself in SQL and python.
  • Ans. 

    I rate myself 8/10 in SQL and 7/10 in Python.

    • Strong understanding of SQL syntax and ability to write complex queries

    • Proficient in data manipulation and analysis using Python libraries like pandas and numpy

    • Experience in building data pipelines and automation scripts in Python

    • Familiarity with optimizing SQL queries for performance

    • Continuous learning and improvement in both SQL and Python skills

  • Answered by AI

Skills evaluated in this interview

Data Analyst Interview Questions & Answers

user image Harsh Vyas

posted on 30 Sep 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Good test of 20 min not tough

Round 2 - Coding Test 

Good test of 45 min not tough

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(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.

  • Answered by AI
  • 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

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on SQL mainly on joins and be prepared to explain your project in detail.
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - HR 

(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?
Round 2 - One-on-one 

(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

Interview preparation tips for other job seekers - If your resume is shortlisted, then there is a higher chance that you will be selected.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Sql python bigdata hadoop hive spark

Round 2 - Coding Test 

1 hour simple coding python sql

Round 3 - One-on-one 

(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...

  • Answered by AI
  • 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...

  • Answered by AI
  • 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...

  • Answered by AI
  • 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...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - One-on-one 

(1 Question)

  • Q1. Python and sql related question
Round 2 - One-on-one 

(1 Question)

  • Q1. Pandas numpy visualisation sql
Round 3 - Coding Test 

Alteryx data processing and reporting

Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Sep 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

Genral aptitude questions

Round 2 - Coding Test 

40 mins to solve 2 dsa questions

Round 3 - One-on-one 

(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

  • Answered by AI
  • Q2. SQL questions and basic dsa questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Just clear your basics
Interview experience
3
Average
Difficulty level
-
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Walk-in and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is powerbi
  • Q2. What is enumeration
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - HR 

(2 Questions)

  • Q1. Explain difference between joins
  • Q2. What is your area of intrest

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident , preparely nicely with sql
Interview experience
3
Average
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Aptitude Test 

Reasoning
Coding
Spit out
General discussion

Round 2 - Coding Test 

Algorithm coding
Array sorting
Machine learning
SQL
Python
C#

Interview Preparation Tips

Interview preparation tips for other job seekers - No

Addend Analytics Interview FAQs

How many rounds are there in Addend Analytics Data Analyst interview?
Addend Analytics interview process usually has 1-2 rounds. The most common rounds in the Addend Analytics interview process are Aptitude Test, Coding Test and Technical.

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25% less than the average Data Analyst Salary in India
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3.3

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Company culture

3.0

Promotions/Appraisal

3.3

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