Flipkart Data Analyst Interview Questions + Guide in 2024

Flipkart Data Analyst Interview Questions + Guide in 2024

Overview

Flipkart, India’s leading e-commerce marketplace, was founded in 2007, and since then, it has revolutionized the online shopping experience for millions of customers. Known for its innovation, diverse product range, and logistical prowess, Flipkart is a pioneer in the Indian e-commerce sector, carving out a significant market share and reputation for reliability and customer satisfaction.

As a Data Analyst at Flipkart, you will be expected to demonstrate strong proficiency in SQL, Excel, and potentially Python or R, along with a good grasp of business acumen applicable in a fast-paced e-commerce setting.

Our comprehensive guide dives into Flipkart’s multi-stage interview process. We will also cover the commonly asked Flipkart data analyst interview questions as well as provide strategic tips to help you succeed.

What Is the Interview Process Like for a Data Analyst Role at Flipkart?

The interview process usually depends on the role and seniority, however, you can expect the following on a Flipkart data analyst interview:

Recruiter/Hiring Manager Call Screening

If your application is shortlisted, a recruiter from the Flipkart Talent Acquisition Team will contact you to verify key details about your experiences and skill levels. Behavioral interview questions may also be part of the screening process.

In some cases, the hiring manager may be present during this screening round to answer your queries about the role and the company. They might also engage in surface-level technical and behavioral discussions.

The recruiter call should take no longer than 30 minutes.

Written Test

Successfully passing the initial screening leads you to the written test. This test typically revolves around basic aptitude and SQL queries, including intermediate to advanced-level questions. Some experiences mentioned that the test was quite challenging with esoteric and non-conventional questions.

Initial Technical Interview

If you clear the written test, you will be invited for the first technical interview. This round usually covers technologies like SQL, Excel, and either R or Python, depending on your preference. You may be asked about joins, date functions, unions, window functions in SQL, loops, and data structures in Python, and object hierarchy in Excel.

Advanced Technical Interview

The second technical round dives deeper into your technical knowledge. Questions might include designing schemas, KPIs for an e-commerce company, and advanced SQL queries. You might also face coding challenges and questions that test your theoretical knowledge in data handling, business cases, and analytical problem-solving.

Managerial Interview

If you pass the technical interviews, the next step is the managerial round. This round assesses your domain knowledge on e-commerce, inventory management, and supply chain operations. The interviewer may also evaluate your problem-solving approach and general fit within Flipkart’s work culture. This stage may sometimes be difficult as manager interview styles can vary greatly.

HR Interview

The final stage is the HR interview, focusing on your fit within the company, salary negotiation, and any final behavioural questions. This round ensures that both parties are aligned in terms of expectations and culture fit.

What Questions Are Asked in a Flipkart Data Analyst Interview?

Here are some commonly asked Flipkart data analyst interview questions:

1. How would you set up an A/B test to optimize button color and position for higher click-through rates?

A team wants to A/B test multiple changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?

2. Would you suspect any issues with an A/B test that found one significant variant out of 20?

Your manager ran an A/B test with 20 different variants and found one significant result. Would you find anything suspicious about these results?

3. Why might the average number of comments per user decrease despite user growth in a new city?

A social media company launched in a new city and saw a slow decrease in the average number of comments per user from January to March, despite consistent user growth. What could be the reasons for this, and what metrics would you investigate?

4. What metrics would you use to evaluate the value of different marketing channels for a B2B company?

Given all the different marketing channels and their respective costs for a company selling B2B analytics dashboards, what metrics would you use to determine the value of each channel?

5. How would you locate a mouse in a 4x4 grid using the fewest scans?

You have a 4x4 grid with a mouse trapped in one of the cells. You can “scan” subsets of cells to know if the mouse is within that subset. How would you determine the mouse’s location using the fewest number of scans?

6. Create a function find_bigrams to return a list of all bigrams in a sentence.

Write a function called find_bigrams that takes a sentence or paragraph of strings and returns a list of all its bigrams in order. A bigram is a pair of consecutive words.

7. Write a query to get the last transaction for each day from a table of bank transactions.

Given a table of bank transactions with columns id, transaction_value, and created_at, write a query to get the last transaction for each day. The output should include the id of the transaction, datetime of the transaction, and the transaction amount, ordered by datetime.

8. Create a function find_change to find the minimum number of coins for a given amount.

Write a function find_change to find the minimum number of coins that make up the given amount of change cents. Assume we only have coins of value 1, 5, 10, and 25 cents.

9. Design a function to simulate drawing balls from a jar.

Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar, with corresponding counts of the balls stored in the same index in a list called n_balls.

10. Create a function calculate_rmse to compute the root mean squared error.

Write a function calculate_rmse to calculate the root mean squared error of a regression model. The function should take in two lists, one that represents the predictions y_pred and another with the target values y_true.

How to Prepare for a Data Analyst at Flipkart

Here are a few tips for acing your Flipkart data analyst interview:

  • Brush Up on SQL and Excel: Flipkart data analyst roles require strong SQL and Excel skills. Make sure you are well-versed in SQL commands, joins window functions, and Excel formulas.
  • Prepare for Business Case Questions: Be ready to solve business case questions that test your analytical thinking and problem-solving skills. Knowing basic e-commerce operations can also give you an edge.
  • Practice Behavioral Questions: Be ready to discuss your past experiences and how they align with Flipkart’s work culture. Showcasing a problem-solving attitude and a collaborative spirit can be beneficial.

FAQs

What is the average salary for a Data Analyst at Flipkart?

Machine Learning Engineer*
$81K
Machine Learning Engineer
Median: $81K
Mean (Average): $81K
Data points: 1
$46K
$113K
Product Manager
Median: $60K
Mean (Average): $69K
Data points: 31
$42K
$92K
Software Engineer
Median: $54K
Mean (Average): $59K
Data points: 183
Data Scientist*
$48K
$62K
Data Scientist
Median: $55K
Mean (Average): $55K
Data points: 2
Data Engineer*
$44K
Data Engineer
Median: $44K
Mean (Average): $44K
Data points: 1

Most data science positions fall under different position titles depending on the actual role.

From the graph we can see that on average the Machine Learning Engineer role pays the most with a $80,522 base salary while the Data Engineer role on average pays the least with a $44,000 base salary.

What kind of technical skills are required for the Data Analyst role at Flipkart?

Strong knowledge of SQL is crucial, including advanced concepts like window functions. Proficiency in Excel, especially with pivot tables and formulas, is also required. Additionally, knowledge of Python or R can be a significant advantage.

What is the overall experience like with the recruitment process at Flipkart?

The process can be time-consuming and may take several weeks. Candidates have mentioned that HR scheduling can be slow, but interviewers are generally supportive. However, some candidates experienced delays or lack of communication post-interview. It’s crucial to stay proactive and follow up regularly.

The Bottom Line

Remember to familiarize yourself with the core competencies required and practice extensively on SQL queries, data modeling, and analytical problem-solving. Understanding the intricacies of e-commerce, such as inventory management and key performance indicators, can also give you an edge.

Stay confident, brush up on your technical and domain knowledge, and most importantly, be prepared to showcase your analytical prowess and ability to solve real-world problems.

For more in-depth preparation, check out our main Flipkart interview guide. Best of luck, and go get that dream job!