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Aricon Software LLP Data Analyst Interview Questions and Answers

Updated 17 Aug 2020

Aricon Software LLP Data Analyst Interview Experiences

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Data Analyst Interview Questions & Answers

user image Anonymous

posted on 17 Aug 2020

I applied via Naukri.com and was interviewed before Aug 2019. There was 1 interview round.

Interview Questionnaire 

4 Questions

  • Q1. Data cleaning steps, procedure , functions , ETL
  • Q2. Intermediate SQL, CTE, corelated subquery, Joins , SETS
  • Q3. Hierarchical queries
  • Q4. DATA Migration

Interview Preparation Tips

Interview preparation tips for other job seekers - Should be well versed with database basics

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
-
Result
No response
Round 1 - Technical 

(2 Questions)

  • Q1. What is difference between rank and dense rank?
  • Q2. What is RLS in Power Bi?
Round 2 - Behavioral 

(1 Question)

  • Q1. How would you identify time for any project?
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

It is nice to do work

Round 2 - Aptitude Test 

It helps in understanding the 5

Round 3 - Coding Test 

It helps a lot in company

Round 4 - Technical 

(5 Questions)

  • Q1. How to do job in company?
  • Q2. What I should do?
  • Q3. How to do work?
  • Q4. What should I do
  • Q5. What is the goal?
  • Ans. 

    The goal of a Data Analyst is to analyze data to extract valuable insights and make data-driven decisions.

    • Identify trends and patterns in data

    • Create visualizations to communicate findings

    • Provide actionable recommendations based on data analysis

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
-
Result
Not Selected

I applied via AmbitionBox and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Aptitude test for selection.

Round 2 - One-on-one 

(2 Questions)

  • Q1. What is your understanding of data analytics?
  • Ans. 

    Data analytics involves analyzing raw data to draw conclusions and make informed decisions.

    • Data analytics involves collecting, processing, and analyzing data to identify trends and patterns.

    • It helps businesses make data-driven decisions and improve performance.

    • Techniques used in data analytics include data mining, machine learning, and statistical analysis.

    • Examples of data analytics in action include predicting custome...

  • Answered by AI
  • Q2. What is the significance of data analytics in analyzing and visualizing data?
  • Ans. 

    Data analytics is crucial for extracting insights and patterns from data, and visualizing them in a meaningful way.

    • Data analytics helps in identifying trends, patterns, and correlations within large datasets.

    • It enables businesses to make informed decisions based on data-driven insights.

    • Visualizations such as charts, graphs, and dashboards make complex data easier to understand and interpret.

    • Data analytics can uncover h...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Always guide to the right place and make informed decisions based on good data analysis.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Basic of python , sql, pandas,niumpy
Round 2 - Technical 

(1 Question)

  • Q1. Gave me a task to make web app for medical condition detection after clearing first round asked questions relted to it
Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. Introduction about our self
  • Ans. 

    I am a data analyst with 5 years of experience in analyzing and interpreting complex data sets to drive business decisions.

    • I have a strong background in statistical analysis and data visualization techniques.

    • Proficient in SQL, Python, and Tableau for data manipulation and reporting.

    • Experience in developing predictive models and conducting A/B testing to optimize marketing strategies.

  • Answered by AI
  • Q2. Complete discussion about projects

Interview Preparation Tips

Interview preparation tips for other job seekers - prepaire well
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Dsa good to have Sql

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

Learn and study about Aptitude like Quantitative aptitude, verbal and reasoning. Practice more and attend more mock test

Round 2 - Technical 

(1 Question)

  • Q1. What is SQL ? What are the market trend
  • Ans. 

    SQL is a programming language used for managing and manipulating relational databases.

    • SQL stands for Structured Query Language.

    • It is used to communicate with and manipulate databases.

    • SQL can be used to create, modify, and retrieve data from databases.

    • It is widely used in data analysis and data management roles.

    • Some popular relational database management systems that use SQL include MySQL, Oracle, and SQL Server.

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Sep 2023. There was 1 interview round.

Round 1 - Case Study 

KPI's for the ecommerce industries

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare SQL Questions, product based questions, adobe analytics, excel questions

I was interviewed in Jan 2022.

Round 1 - Technical 

(2 Questions)

  • Q1. Dense rank and row number differenxw
  • Ans. 

    Difference between dense rank and row number

    • Dense rank assigns the same rank to ties, while row number assigns a unique rank to each row

    • Dense rank skips ranks when there are ties, while row number does not

    • Dense rank is used to calculate percentiles, while row number is used for pagination

  • Answered by AI
  • Q2. Sql and nosql diff? Python functions

Interview Preparation Tips

Interview preparation tips for other job seekers - Read sql and practice well with some good python

Skills evaluated in this interview

Aricon Software LLP Interview FAQs

What are the top questions asked in Aricon Software LLP Data Analyst interview?

Some of the top questions asked at the Aricon Software LLP Data Analyst interview -

  1. Intermediate SQL, CTE, corelated subquery, Joins , S...read more
  2. Data cleaning steps, procedure , functions , E...read more
  3. DATA Migrat...read more

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