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American Express Senior Data Analyst Interview Questions and Answers

Updated 10 Oct 2024

Interview questions from similar companies

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

(2 Questions)

  • Q1. Introduction by my self
  • Q2. Pyspark related getting the column names
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Question on Probability and basic aptitude questions

Round 2 - One-on-one 

(2 Questions)

  • Q1. Question were related to Past projects
  • Q2. SQL and Excel medium level questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

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

Round 1 - Technical 

(4 Questions)

  • Q1. What are joins,
  • Ans. 

    Joins are used in databases to combine rows from two or more tables based on a related column between them.

    • Joins are used to retrieve data from multiple tables based on a related column between them

    • Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

    • INNER JOIN returns rows when there is at least one match in both tables

    • LEFT JOIN returns all rows from the left table and the matched rows from th...

  • Answered by AI
  • Q2. Difference between having and where
  • Ans. 

    The main difference between 'having' and 'where' in SQL is that 'having' is used with aggregate functions, while 'where' is used with individual rows.

    • HAVING is used to filter groups of rows based on aggregate functions, such as COUNT, SUM, AVG, etc.

    • WHERE is used to filter individual rows based on specific conditions.

    • HAVING is applied after the GROUP BY clause, while WHERE is applied before.

    • Example: SELECT department, A...

  • Answered by AI
  • Q3. What are analytical functions explain all
  • Ans. 

    Analytical functions are used in SQL to perform calculations across a set of rows related to the current row.

    • Analytical functions operate on a group of rows and return a single result for each row.

    • They can be used to calculate moving averages, running totals, rank, and percentiles.

    • Examples include ROW_NUMBER(), RANK(), DENSE_RANK(), LEAD(), LAG(), SUM(), AVG().

  • Answered by AI
  • Q4. What are triggers and how to create them and what is the use of triggers and explain when and how did you use triggers in your previous org
  • Ans. 

    Triggers are database objects that automatically perform an action when a specified event occurs on a particular table or view.

    • Triggers are used to enforce business rules, validate data, and maintain data integrity.

    • They can be created using SQL commands like CREATE TRIGGER.

    • Triggers can be set to execute before or after INSERT, UPDATE, or DELETE operations on a table.

    • An example of using triggers is to automatically upda...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
-

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

Round 1 - Technical 

(2 Questions)

  • Q1. Detailed project questions
  • Q2. Explain completed gen ai project
  • Ans. 

    Developed a generative AI model to create realistic images of fictional characters.

    • Used GANs (Generative Adversarial Networks) to generate new images based on existing data.

    • Trained the model on a dataset of character images from various sources.

    • Implemented techniques like style transfer to enhance the diversity and creativity of generated images.

    • Evaluated the model's performance based on image quality metrics and user

  • Answered by AI

Skills evaluated in this interview

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

I applied via Referral and was interviewed in May 2024. There was 1 interview round.

Round 1 - Technical 

(4 Questions)

  • Q1. Given a variable, how to do Linear Regression?
  • Ans. 

    Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

    • Collect data on the variables of interest

    • Plot the data to visualize the relationship between the variables

    • Choose a suitable linear regression model (simple or multiple)

    • Fit the model to the data using a regression algorithm (e.g. least squares)

    • Evaluate the model's performance using ...

  • Answered by AI
  • Q2. How Linear Regression handles noise?
  • Ans. 

    Linear Regression minimizes noise by fitting a line that best represents the relationship between variables.

    • Linear Regression minimizes the sum of squared errors between the actual data points and the predicted values on the line.

    • It assumes that the noise in the data is normally distributed with a mean of zero.

    • Outliers in the data can significantly impact the regression line and its accuracy.

    • Regularization techniques l...

  • Answered by AI
  • Q3. Solve two equations to find coefficients?
  • Ans. 

    Use linear algebra to solve for coefficients in two equations.

    • Set up the two equations with unknown coefficients

    • Solve the equations simultaneously using methods like substitution or elimination

    • Example: 2x + 3y = 10 and 4x - y = 5, solve for x and y

  • Answered by AI
  • Q4. Probability question on picking a red ball from Red, blue, black ball bag with replacement.

Interview Preparation Tips

Interview preparation tips for other job seekers - JPMC mainly uses traditional machine learning algorithms for interpretability. Not so much scope for progress if you want to work for cutting-edge technology.

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Talked about previous experience in detail.
  • Q2. Asked some case studies regarding their products

Interview Preparation Tips

Interview preparation tips for other job seekers - I expected the first round to be technical, but it turned out to be causal one on one. Didn't exactly understand what they are expecting from the candidate.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Oct 2024. There was 1 interview round.

Round 1 - Aptitude Test 

Basic aptitude test like distance problem , age etc

Interview Preparation Tips

Interview preparation tips for other job seekers - Sql , logic based question
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via campus placement at Institute of Management Nirma University, Ahmedabad and was interviewed in Nov 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

40 questions are there. The que have different categories. Reasoning , critical thinking

Round 2 - Technical 

(3 Questions)

  • Q1. Tell me about your self
  • Q2. Question based on the resume
  • Q3. What are the project you have done?

Interview Preparation Tips

Topics to prepare for State Street Corporation Data Analyst interview:
  • DSA
  • Basic coding
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

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

Round 1 - One-on-one 

(1 Question)

  • Q1. Asked about skillsets & tools used in the current job. I was asked basic questions on SQL & Tableau
Round 2 - Coding Test 

Detailed interview on SQL, Tableau & Alteryx

American Express Interview FAQs

How many rounds are there in American Express Senior Data Analyst interview?
American Express interview process usually has 1 rounds. The most common rounds in the American Express interview process are Technical.
How to prepare for American Express 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 American Express. The most common topics and skills that interviewers at American Express expect are Big Data, Data Analytics, Hive, Python and SQL.

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American Express Senior Data Analyst Salary
based on 41 salaries
₹9.9 L/yr - ₹30 L/yr
55% more than the average Senior Data Analyst Salary in India
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American Express Senior Data Analyst Reviews and Ratings

based on 4 reviews

2.9/5

Rating in categories

2.4

Skill development

2.7

Work-Life balance

3.1

Salary & Benefits

3.3

Job Security

1.9

Company culture

2.6

Promotions/Appraisal

3.0

Work Satisfaction

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