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Target Senior Data Analyst Interview Questions and Answers

Updated 28 Dec 2024

Target Senior Data Analyst Interview Experiences

4 interviews found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
-
Result
-

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. Sql questions on joins, window functions etc
  • Q2. Basic statistics questions on Central tendency
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What interest you in analytics
  • Ans. 

    I am fascinated by the ability of analytics to uncover insights and drive informed decision-making.

    • I enjoy the challenge of working with large datasets and finding patterns within them

    • I am passionate about using data to solve complex problems and improve processes

    • I find it rewarding to see the impact of data-driven decisions on business outcomes

  • Answered by AI
  • Q2. Which tool you used for your project
Round 2 - One-on-one 

(1 Question)

  • Q1. How do you upskill yourself

Skills evaluated in this interview

Senior Data Analyst Interview Questions Asked at Other Companies

Q1. What is the difference between Least Squares Method and the maxim ... read more
Q2. How do you improve the performance of Linear Regression
asked in Proftware
Q3. Imagine you are presented with a complex dataset from a multinati ... read more
Q4. How do you handle overfitting and underfitting in Decision Trees
Q5. What metrics do you use to evaluate classification models
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. SQL Python along with Statistics
Round 2 - Technical 

(1 Question)

  • Q1. Sql question and AB testing
Interview experience
2
Poor
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
No response

I applied via LinkedIn and was interviewed in May 2023. There were 3 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 Resume tips
Round 2 - Technical 

(2 Questions)

  • Q1. Sql question basic based on scenario
  • Q2. Data cleaning questions
Round 3 - Technical 

(2 Questions)

  • Q1. Advance levels of SQL query related to windows function join etc
  • Q2. Windows function scenario question

Interview Preparation Tips

Interview preparation tips for other job seekers - Real alot about SQL advance levels

Target interview questions for designations

 Senior Data Scientist

 (1)

 Data Scientist

 (2)

 Data Science Intern

 (1)

 Data Analyst

 (7)

 Senior Business Analyst

 (1)

 Data Engineer

 (3)

 Data Specialist

 (1)

 Analyst

 (1)

Senior Data Analyst Jobs at Target

View all

Interview questions from similar companies

I applied via Company Website and was interviewed in Jul 2022. There were 5 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 Resume tips
Round 2 - Aptitude Test 

The test will be conducted in a interview process

Round 3 - Group Discussion 

Group discussion is a communicate in a people

Round 4 - HR 

(2 Questions)

  • Q1. Hr face to face commutation
  • Q2. Self introduction and
Round 5 - One-on-one 

(2 Questions)

  • Q1. It is the individual interview
  • Q2. Personal questions only

Interview Preparation Tips

Topics to prepare for Tata Group Data Analyst interview:
  • Data analyst
  • Accounting
Interview preparation tips for other job seekers - Good opportunity in a company .in my future like thate good job ,iam relay comfortable work in this company

I applied via Naukri.com and was interviewed in Aug 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 Resume tips
Round 2 - Case Study 
Round 3 - Assignment 

Financial condition of India

Round 4 - One-on-one 

(1 Question)

  • Q1. Analysis and company audit.

Interview Preparation Tips

Interview preparation tips for other job seekers - I need job and I do it with my best knowledge
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jul 2022. There were 3 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 Resume tips
Round 2 - Technical 

(8 Questions)

  • Q1. Limitations of Vlookup
  • Ans. 

    Vlookup limitations include limited search range, case sensitivity, and inability to handle multiple matches.

    • Vlookup only searches for values in the leftmost column of the table array

    • It is case sensitive and cannot handle spelling errors

    • It only returns the first match and cannot handle multiple matches

    • It cannot search for values to the left of the lookup column

    • It can be slow and inefficient for large datasets

  • Answered by AI
  • Q2. Vlookup vs Index-Match
  • Ans. 

    Vlookup and Index-Match are both Excel functions used for lookup and retrieval of data.

    • Vlookup is simpler and faster but has limitations in terms of flexibility and handling of large datasets.

    • Index-Match is more versatile and can handle complex data structures but is slower and requires more effort to set up.

    • Vlookup is best suited for simple lookups with small datasets while Index-Match is better for more complex looku...

  • Answered by AI
  • Q3. Define Excel Functions Sum , Sum if , Count , CountA , Count Blanks
  • Ans. 

    Excel functions are pre-built formulas that perform calculations or manipulate data in a spreadsheet.

    • Sum: adds up a range of numbers

    • Sum if: adds up a range of numbers based on a specified condition

    • Count: counts the number of cells in a range that contain numbers

    • CountA: counts the number of cells in a range that are not empty

    • Count Blanks: counts the number of empty cells in a range

  • Answered by AI
  • Q4. Limitations of Structural Query Language
  • Ans. 

    SQL limitations include lack of scalability, security vulnerabilities, and difficulty in handling unstructured data.

    • SQL is not suitable for handling unstructured data like images, videos, and audio files.

    • It can be difficult to scale SQL databases to handle large amounts of data.

    • SQL databases can be vulnerable to security threats like SQL injection attacks.

    • SQL is not always the best choice for real-time data processing ...

  • Answered by AI
  • Q5. Write code to find duplicate Records.
  • Ans. 

    Code to find duplicate records

    • Identify the key columns to check for duplicates

    • Use GROUP BY and HAVING clauses to filter out duplicates

    • Consider using window functions like ROW_NUMBER() to identify and remove duplicates

    • Use programming languages like SQL, Python, or R to write the code

  • Answered by AI
  • Q6. Write code to describe database and Columns from a particular table
  • Ans. 

    Code to describe database and columns from a table

    • Use SQL SELECT statement to retrieve column names and data types

    • Use DESC command to get table structure

    • Use INFORMATION_SCHEMA.COLUMNS to get detailed information about columns

    • Use SHOW CREATE TABLE to get table creation statement

  • Answered by AI
  • Q7. What is trigger in SQL?
  • Ans. 

    A trigger in SQL is a set of instructions that automatically executes in response to a specific event or action.

    • Triggers can be used to enforce business rules, audit changes, or replicate data.

    • They can be defined to execute before or after an INSERT, UPDATE, or DELETE statement.

    • Triggers can also be nested, meaning one trigger can execute another trigger.

    • Examples of triggers include sending an email notification when a ...

  • Answered by AI
  • Q8. What is the use if store procedure ?
  • Ans. 

    Stored procedures are precompiled SQL statements that can be reused and executed multiple times.

    • Stored procedures improve performance by reducing network traffic and improving security.

    • They can be used to encapsulate business logic and provide a consistent interface to the database.

    • Stored procedures can also be used to simplify complex queries and transactions.

    • Examples include procedures for inserting, updating, and de...

  • Answered by AI
Round 3 - Behavioral 

(7 Questions)

  • Q1. How you get your data in your organization
  • Ans. 

    Data is collected from various sources including databases, APIs, and user input.

    • We have access to multiple databases where we can extract relevant data

    • We use APIs to gather data from external sources such as social media platforms

    • Users can input data through forms or surveys

    • We also collect data through web scraping techniques

  • Answered by AI
  • Q2. What type of challenges you face in your day today work
  • Ans. 

    As a data analyst, I face challenges such as data quality issues, incomplete or inconsistent data, and time constraints.

    • Data quality issues: Dealing with missing or inaccurate data that can affect the analysis.

    • Incomplete or inconsistent data: Working with datasets that are not complete or have inconsistencies, requiring data cleaning and manipulation.

    • Time constraints: Balancing multiple projects and deadlines, often ne...

  • Answered by AI
  • Q3. Sequence of Execution of SQL codes. Select - Where-from-Having- order by etc
  • Ans. 

    The sequence of execution of SQL codes is Select-From-Where-Group By-Having-Order By.

    • Select: choose the columns to display

    • From: specify the table(s) to retrieve data from

    • Where: filter the data based on conditions

    • Group By: group the data based on a column

    • Having: filter the grouped data based on conditions

    • Order By: sort the data based on a column

  • Answered by AI
  • Q4. Difference between having and where clause
  • Ans. 

    HAVING is used with GROUP BY to filter the results after grouping. WHERE is used to filter the results before grouping.

    • HAVING is used with GROUP BY clause while WHERE is used with SELECT clause.

    • HAVING is used to filter the results of aggregate functions while WHERE is used to filter individual rows.

    • HAVING is used to filter the results after grouping while WHERE is used to filter the results before grouping.

    • HAVING can o...

  • Answered by AI
  • Q5. Difference between CSV file and Excel file
  • Ans. 

    CSV files are plain text files that store tabular data, while Excel files are binary files that can contain multiple sheets and complex formatting.

    • CSV files are simpler and more lightweight compared to Excel files.

    • CSV files can be easily opened and edited using a text editor, while Excel files require specific software like Microsoft Excel.

    • CSV files do not support formulas, macros, or formatting options like colors and...

  • Answered by AI
  • Q6. How much amount of data you Handel till now.
  • Ans. 

    I have handled large amounts of data in my previous roles.

    • I have experience handling terabytes of data in my previous role as a data analyst at XYZ company.

    • I have worked with data from various sources such as databases, spreadsheets, and APIs.

    • I have also used tools like SQL, Python, and Excel to manipulate and analyze data.

    • I am comfortable working with both structured and unstructured data.

    • I have experience cleaning an...

  • Answered by AI
  • Q7. What are the different approach you use for data cleaning.
  • Ans. 

    Different approaches for data cleaning include removing duplicates, handling missing values, correcting inconsistent data, and standardizing formats.

    • Remove duplicates

    • Handle missing values

    • Correct inconsistent data

    • Standardize formats

    • Use statistical methods to identify outliers

    • Check for data accuracy and completeness

    • Normalize data

    • Transform data types

    • Apply data validation rules

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Walmart Data Analyst interview:
  • Excel
  • SQL
  • MS PowerPoint
Interview preparation tips for other job seekers - Good Communication
Presence of mind is required to clear interview

Skills evaluated in this interview

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

Sql and python questions were asked

Round 2 - One-on-one 

(2 Questions)

  • Q1. Why are you fit for the role?
  • Ans. 

    I am fit for the role due to my extensive experience in data analysis, strong analytical skills, and ability to communicate insights effectively.

    • Extensive experience in data analysis

    • Strong analytical skills

    • Ability to communicate insights effectively

  • Answered by AI
  • Q2. Explain a project where you used data analytics to solve a business problem
  • Ans. 

    Implemented predictive analytics model to optimize inventory management for a retail company

    • Identified key factors affecting inventory levels such as seasonality, promotions, and supplier lead times

    • Utilized historical sales data to forecast demand and optimize inventory levels

    • Developed a predictive analytics model using machine learning algorithms to predict future sales and recommend optimal inventory levels

    • Implemente...

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. What is your expected compensation?
  • Q2. When can you relocate?

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-

I applied via Company Website

Round 1 - Coding Test 

SQL

1. Pivot the table(They gave sample data and asked me to pivot)

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Data Sceince related questions
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Target Interview FAQs

How many rounds are there in Target Senior Data Analyst interview?
Target interview process usually has 2 rounds. The most common rounds in the Target interview process are Technical, One-on-one Round and Resume Shortlist.
How to prepare for Target Senior Data Analyst interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Target. The most common topics and skills that interviewers at Target expect are Data Analysis, SQL, Python, Analytics and Data Mining.
What are the top questions asked in Target Senior Data Analyst interview?

Some of the top questions asked at the Target Senior Data Analyst interview -

  1. what interest you in analyt...read more
  2. Advance levels of SQL query related to windows function join ...read more
  3. Sql question basic based on scena...read more

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Target Senior Data Analyst Interview Process

based on 5 interviews

Interview experience

3.6
  
Good
View more
Target Senior Data Analyst Salary
based on 66 salaries
₹10.5 L/yr - ₹32 L/yr
90% more than the average Senior Data Analyst Salary in India
View more details

Target Senior Data Analyst Reviews and Ratings

based on 9 reviews

3.9/5

Rating in categories

3.2

Skill development

4.3

Work-life balance

3.9

Salary

4.1

Job security

4.5

Company culture

2.9

Promotions

3.6

Work satisfaction

Explore 9 Reviews and Ratings
Sr Data Analyst

Bangalore / Bengaluru

3-7 Yrs

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