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WishLink Data Analyst Interview Questions and Answers

Updated 3 Oct 2024

WishLink Data Analyst Interview Experiences

1 interview found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 3 Oct 2024

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

I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Basic SQL questions were asked
  • Q2. Assignment for excel was given

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Questions on vlook up, h-look up, pivot and if else condition
  • Q2. You must know how to use vlook up, h-look up and if-else condition
Round 2 - Assignment 

Excel file was give, used sumifs, countifs , index match formulas

Interview Preparation Tips

Interview preparation tips for other job seekers - Just learn the excel famous questions and concept like look up, index match, nested if, concate function etc
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Aug 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Difference between union and union all in SQL?
  • Ans. 

    Union combines and removes duplicates, Union All combines without removing duplicates.

    • Union combines result sets and removes duplicates

    • Union All combines result sets without removing duplicates

    • Union is slower than Union All as it involves removing duplicates

    • Example: SELECT column1 FROM table1 UNION SELECT column1 FROM table2;

    • Example: SELECT column1 FROM table1 UNION ALL SELECT column1 FROM table2;

  • Answered by AI
  • Q2. How to show top 5 in pandas?
  • Ans. 

    To show top 5 in pandas, use the nlargest() function.

    • Use the nlargest() function with the 'n' parameter set to 5 to get the top 5 values in a pandas DataFrame.

    • For example: df['column_name'].nlargest(5) will return the top 5 values in the specified column.

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. If we have 3 numerical columns, which chart is a better representation these column?
  • Ans. 

    A scatter plot is a better representation for 3 numerical columns.

    • Use a scatter plot to show the relationship between the numerical columns.

    • Scatter plots are effective for visualizing correlations and patterns in data.

    • Each point on the plot represents a data point with values from all 3 columns.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Omnicom Media Group Data Analyst interview:
  • SQL Server
  • Pandas
  • Power Bi

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. SQL Window Functions and RANK, DENSE RANK Difference
  • Ans. 

    SQL Window Functions like RANK and DENSE RANK are used to assign a rank to rows within a partition.

    • RANK function assigns a unique rank to each distinct row within a partition.

    • DENSE RANK function assigns a unique rank to each distinct row within a partition, but without any gaps.

    • Both functions are used with the OVER() clause in SQL to define the partition and order of rows.

  • Answered by AI
  • Q2. Hadoop Default Replication Factor

Interview Preparation Tips

Topics to prepare for Vertoz Data Engineer interview:
  • SQL
  • Spark
  • Hadoop
  • YARN
Interview preparation tips for other job seekers - Easy questions asked related to SQL Window Functions, Spark Repartition and Coalesce, Spark Architecture, YARN, Hadoop Replication Factor, Spark Write Modes and many such easy questions.

Salary offered is below industry standard.
Overall not a good experience.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Questions on vlook up, h-look up, pivot and if else condition
  • Q2. You must know how to use vlook up, h-look up and if-else condition
Round 2 - Assignment 

Excel file was give, used sumifs, countifs , index match formulas

Interview Preparation Tips

Interview preparation tips for other job seekers - Just learn the excel famous questions and concept like look up, index match, nested if, concate function etc
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Aug 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Difference between union and union all in SQL?
  • Ans. 

    Union combines and removes duplicates, Union All combines without removing duplicates.

    • Union combines result sets and removes duplicates

    • Union All combines result sets without removing duplicates

    • Union is slower than Union All as it involves removing duplicates

    • Example: SELECT column1 FROM table1 UNION SELECT column1 FROM table2;

    • Example: SELECT column1 FROM table1 UNION ALL SELECT column1 FROM table2;

  • Answered by AI
  • Q2. How to show top 5 in pandas?
  • Ans. 

    To show top 5 in pandas, use the nlargest() function.

    • Use the nlargest() function with the 'n' parameter set to 5 to get the top 5 values in a pandas DataFrame.

    • For example: df['column_name'].nlargest(5) will return the top 5 values in the specified column.

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. If we have 3 numerical columns, which chart is a better representation these column?
  • Ans. 

    A scatter plot is a better representation for 3 numerical columns.

    • Use a scatter plot to show the relationship between the numerical columns.

    • Scatter plots are effective for visualizing correlations and patterns in data.

    • Each point on the plot represents a data point with values from all 3 columns.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Omnicom Media Group Data Analyst interview:
  • SQL Server
  • Pandas
  • Power Bi

Skills evaluated in this interview

I applied via Referral and was interviewed in Nov 2021. There was 1 interview round.

Interview Questionnaire 

4 Questions

  • Q1. Difference between coalesce and repartition
  • Ans. 

    Coalesce is used to select the first non-null value from a set of columns. Repartition is used to shuffle data across nodes.

    • Coalesce reduces the number of partitions to the minimum required.

    • Repartition increases or decreases the number of partitions.

    • Coalesce is a narrow transformation while repartition is a wide transformation.

    • Coalesce is used to optimize data for queries while repartition is used to balance data acros...

  • Answered by AI
  • Q2. How to optimise joins
  • Ans. 

    Optimizing joins involves selecting appropriate join types, indexing tables, and minimizing data movement.

    • Choose the appropriate join type based on the size and structure of the tables being joined

    • Index the tables on the join columns to speed up the join process

    • Minimize data movement by selecting only the necessary columns and filtering rows before joining

    • Consider using denormalization or materialized views to precompu

  • Answered by AI
  • Q3. Spark optimizations
  • Q4. Difference between RDD dataset and dataframe
  • Ans. 

    RDD is a low-level distributed data structure while DataFrame is a high-level structured data abstraction.

    • RDD is immutable and unstructured while DataFrame is structured and has a schema

    • DataFrames are optimized for SQL queries and can be cached in memory

    • RDDs are more flexible and can be used for complex data processing tasks

    • DataFrames are easier to use and provide a more concise syntax for data manipulation

    • RDDs are the...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - The major focus was on Apache Spark.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Oct 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Coding Test 

Basic dsa question in python and data engineering questions ,sql

Round 3 - Coding Test 

Basic dsa question in python and data engineering questions

Round 4 - HR 

(1 Question)

  • Q1. Salary negotiation
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Apr 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - HR 

(1 Question)

  • Q1. Majorly about previous work experience.
Round 3 - Technical 

(1 Question)

  • Q1. Asked me to build a dashboard in Google sheet and advance Excel test
Round 4 - HR 

(1 Question)

  • Q1. Salary and other discussions

Interview Preparation Tips

Topics to prepare for Z1 Tech Associate Data Analyst interview:
  • advance excel
  • google sheet
  • Google Analytics
  • google studio
Interview preparation tips for other job seekers - be sound with your skills.. rest will fall in place.

WishLink Interview FAQs

How many rounds are there in WishLink Data Analyst interview?
WishLink interview process usually has 1 rounds. The most common rounds in the WishLink interview process are Technical.
What are the top questions asked in WishLink Data Analyst interview?

Some of the top questions asked at the WishLink Data Analyst interview -

  1. Basic SQL questions were as...read more
  2. Assignment for excel was gi...read more

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