Flipkart, one of India's leading e-commerce giants, is renowned for its vast catalog of products and innovative approach in the digital marketplace. It continues to revolutionize the retail industry with cutting-edge technology and customer-centric strategies.
As a Business Analyst at Flipkart, your role involves data analytics, data visualization, statistical modeling, and predictive analytics. You'll work closely with various teams to track key business metrics, pull and analyze data, build reports, and create actionable insights. Proficiency in SQL, Excel, and scripting languages like Python or R is crucial. Experience with BI tools such as Power BI, Tableau, and proficiency in advanced statistical methods will give you a significant edge.
In this guide, Interview Query dives deep into the interview process for Flipkart's Business Analyst position, offering insights from actual interview experiences, sample questions, and valuable tips to help you succeed. Let's get started!
The first step to securing a position as a Business Analyst at Flipkart is submitting a compelling application. You can do this through the career portal on Flipkart's website or via recruitment drives at colleges and universities. Tailoring your CV to highlight specific keywords and relevant skills is crucial. Make sure to craft a targeted cover letter that reflects your interest in the role and the company.
Once your application has been shortlisted, expect to receive a call from a Flipkart recruiter. During this call, your experience and skills will be reviewed. You may also be asked some initial behavioral questions to gauge your fit within the company.
This screening call typically lasts about 30 minutes. Sometimes, a hiring manager may join the call to provide more insights into the role and answer any questions you may have.
The next step is an online aptitude test, which covers SQL, logical reasoning, and statistics. This test helps the hiring team assess your analytical thinking and technical skills.
Passing the aptitude test will earn you an invitation to a virtual technical interview. This stage often includes SQL-based questions, probability questions, and scenario-based business cases.
If you clear the technical interview, you will move on to a problem-solving interview. This round involves guestimates, puzzles, and a case study where you will need to display your analytical and problem-solving abilities.
Following a successful problem-solving interview, you will be invited for onsite interviews at the Flipkart office. This may involve several rounds, including:
After completing all interview rounds, the final discussion will revolve around compensation and other formalities. Unfortunately, some candidates have reported unprofessional behavior in the follow-up process, so be proactive in your communications.
Typically, interviews at Flipkart vary by role and team, but commonly Business Analyst interviews follow a fairly standardized process across these question topics.
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 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 set up this test?
Would you suspect anything unusual if an A/B test with 20 variants shows one significant result? Your manager ran an A/B test with 20 different variants and found one significant result. Would you think there was anything fishy about the results?
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 are some reasons for this decrease, and what metrics would you look into?
What metrics would you use to determine the value of each marketing channel for a B2B analytics company? Given all the different marketing channels and their respective costs at a company called Mode, which sells B2B analytics dashboards, what metrics would you use to determine the value of each marketing channel?
How would you locate a mouse in a 4x4 grid using the fewest number of 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, but not its exact location. How would you figure out where the mouse is using the fewest number of scans?
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.
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, datetime, and transaction amount, ordered by datetime.
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.
Write a function to simulate drawing balls from a jar based on their counts.
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
.
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
.
What kind of model did the co-worker develop for loan approval? Your co-worker developed a model that takes customer inputs and returns if a loan should be given or not. What type of model is this?
How would you measure the difference between two credit risk models? Given that personal loans are monthly installments, how would you compare the performance of two credit risk models over a specific timeframe?
What metrics would you track to measure the success of a new credit risk model? Identify the key metrics you would use to evaluate the success of a new model predicting loan defaults.
What metrics would you use to track the accuracy and validity of a spam classifier model? Assume you have built a V1 of a spam classifier for emails. What metrics would you use to evaluate its accuracy and validity?
What are the key differences between classification models and regression models? Explain the main differences between classification models and regression models.
When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. In which scenarios would you prefer bagging over boosting, and what are the tradeoffs?
What happens when you run logistic regression on perfectly linearly separable data? Describe the outcome of running logistic regression on a dataset that is perfectly linearly separable.
Suppose we have 1 ad, rated as bad. What's the probability the rater was lazy?
How to simulate coin tosses with a given probability of heads? Write a function that takes the number of tosses and the probability of heads as input. The function should return a list of randomly generated results ('H' for heads and 'T' for tails) equal in length to the number of tosses.
How to calculate the sample variance of a list of integers? Write a function that takes a list of integers as input and outputs the sample variance, rounded to 2 decimal places.
What is the probability of rolling at least one 3 with dice?
What's the probability of rolling at least one 3 given (N) dice?
What is the probability of finding an item on Amazon's website given its availability in warehouses? Given that the probability of item X being available at warehouse A is 0.6 and at warehouse B is 0.8, what is the probability that item X would be found on Amazon's website?
Q: What is the interview process like for the Business Analyst position at Flipkart? The interview process usually consists of multiple rounds, including an aptitude test, technical rounds focusing on SQL and problem-solving, and interviews covering business case scenarios and projects listed on your resume. The entire process can take about four weeks.
Q: What kind of questions can I expect during the technical rounds? In the technical rounds, you can expect questions related to SQL, statistical analysis, probability, mathematics, and logical reasoning. You may also be given technical questions related to your past projects and asked to solve puzzles or guesstimate scenarios.
Q: What skills are essential for the Business Analyst position at Flipkart? Key skills include proficiency in SQL and Excel, knowledge of statistical modeling and analytics, and experience with data visualization tools like Power BI or Tableau. Strong problem-solving abilities, excellent communication skills, and the capacity to translate data into actionable insights are also critical.
Q: What is the role of a Business Analyst at Flipkart? As a Business Analyst at Flipkart, you will work closely with internal teams to identify, define, collect, and track key business metrics for products or business processes. Your role involves pulling data for analysis, building reports and dashboards, and influencing stakeholders to make data-driven decisions.
Q: How can I best prepare for the Flipkart Business Analyst interview? To prepare, thoroughly understand SQL and Excel, practice common data analysis and probability questions, and get comfortable with business case scenarios and guesstimates. Platforms like Interview Query can provide valuable practice questions and insights for the interview.
Embarking on a journey with Flipkart as a Business Analyst promises an exciting and challenging opportunity. The interview process is comprehensive and designed to test a candidate's analytical skills, technical knowledge in SQL and Excel, and proficiency in problem-solving through puzzles and business case scenarios. With multiple rounds, including aptitude tests, technical discussions, and business scenarios, Flipkart thoroughly assesses each individual's capability to handle real-world problems and deliver data-driven insights.
To prepare effectively and ace the interview, delve into our detailed Flipkart Interview Guide, where we have an extensive collection of interview questions and tailored insights specific to the Business Analyst role at Flipkart. Additionally, you can explore interview guides for related positions such as Software Engineer and Data Analyst to understand the diverse interview processes within the company.
At Interview Query, we equip you with a valuable resource hub to boost your interview preparation, providing you with the knowledge and confidence needed to succeed in your Flipkart interview journey. Don't hesitate to explore all our company interview guides for comprehensive preparation. Good luck with your interview!