Bain & Company Interview Questions, Process, and Tips

Q1. How has your day been?
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Q2. Tell me something about yourself which is not on your CV?
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Q3. How are you? Where are you from?
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Q4. What did you like about BCG and when was the time when you felt like leaving the organization / work that you were doing?
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Q5. Tell me some instances when you shared your ideas and if they were implemented by the case team?
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Q6. Would you like to work with Bain?
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Q7. Do you have any issues in that?
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You are working with online retailer focusing on the fashion industry. Their private label business is 200mn USD. How will you further grow this?
[Please note that I stands for Interviewer and C stands for Candidate]

C: Reiterated the problem and said that we can assume this to be Myntra to start with.

I: Sure. Go ahead.

C: Please share more details about the company and about their business.

I: The company is 7-8 years old, based out of India and is in apparel & accessories segment. No major customer segments. The company holds 25% market share and is among top 4 players in ecommerce, and top 2 in fashion.

C: Asked if there is enough demand in the market. Given it is in the India market, said there must be enough demand.

I: Yes, there is. We can focus on how to cater to the demand.

C: So, we can expand in 2 ways- B2B and B2C. Gave example of B2B – like giving clothes to big bazaar.

I: We need to make our brand name, so focus on B2C.

C: Sure, so in that case we have multiple options – (1) selling through own website, (2) selling through third party websites, (3) from own new stores or (4) from third party stores.

Asked Interviewer of what she wanted me to focus on and how to proceed ahead.

I: Please size the market for each of these options after 3 years.

C: Sure. Started taking numbers on overall market size, growth and estimated percentage that can be made from it.

I: Let us assume Amazon to present 1 bn USD opportunity with growth rate 20% and amazon has 5000 brands.

C: Calculated market size - 1.7 bn in 3 years. Assumed top 60% sales from major brands, 20% from Private labels and 20% from others. Given 100 brands in private label, calculated 3.4 MN USD opportunity from Website.

(Similarly got information for other 3 ways and calculated market for each of them. Tried to catch on hints like own website growth would be more than that on Amazon, and how to push own product on our website without losing customers.)

You are working with IT service company and the profits are less than those of the competitors. Identify the issues and also suggest possible solutions.
[Please note that I stands for Interviewer and C stands for Candidate]

C: Tried to ask about the company and what all it does.

I: Sure, so company is like Wipro etc. who work across multiple industries like consumer, Industrial goods etc. These company get projects from the industry and work on it. Do you know about Hunter, Farmers, New logo, win rate and close rate?

C: No, since I am new to this industry, it will be great if you can help me with these.

I: Sure. Hunters are sales team members, farmers are accountants. New logo referred to new companies that were clients within the past 1 year. Win rate is clients hat got converted divided by total companies approached by hunters. While close rate was total potential of the converted clients divided by total available pool. Next, tell me why are new logos important?

C: It is because these are essentially clients that can will give us lot of work in the future and have lot of potential.

I: Absolutely correct. So, our win rate is same as other companies, but close rate is lower. Can you figure out the reason?

C: Sure, so it is important to understand this from a hunter’s perspective. Broke the problem into 2 parts- if the hunters were willingly doing this or not. Gave justification of willingness as motivation could be less because of fixed pay or pay in terms of number of deals.

I: No, so they are paid 2% of the deal amount.

C: There could be a few cases here, if the hunters themselves selected these pools of people and did not realize the potential or they were given a set of people.

I: They themselves choose to select the people.

C: Hence that means they were not strategically approaching these people and that is leading to the issue of lower profits and revenue eventually.

I: Correct, but how will you solve this issue?

C: Figured out multiple ways like – salary basis client size, fixing the clients to interact, better training for good conversion rates, allocating clients basis capabilities.

I: Yes, one more way is to pay more for bigger clients like 6-7% for bigger clients in terms of opportunities, and 2% of deal for smaller clients.

Q1. Estimate the revenue of a museum in a day in a city in Europe?
Ans. 
Estimating the revenue of a museum in a day in a European city.
• Consider the average ticket price of the museum

• Estimate the number of visitors based on the museum's popularity and capacity

• Factor in additional revenue sources like gift shop sales or special exhibitions

• Take into account any discounts or promotions offered by the museum

• Research similar museums in the city to gather comparative data
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Aptitude test consisting of many Data Interpretation questions and general quant

Q1. Estimate the annual sale of razor blades in India
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It's a general business case study round, however I was rejected in the previous round

It was an hour-long coding round, asked questions on basic pandas slicing dicing, building simple regression model, handling class imbalance in SVM

Q1. Mostly resume based, went deep into projects and asked basics of ML algorithms, ML Ops and OOPS concepts
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Q1. Resume based questions, basics of Machine Learning, and small case study (problem formulation and feature brainstorming)
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Q1. Different types of ML models, how they work, differences among them. Types of performance metrics, pros and cons of them, etc.
Ans. 
Different types of ML models, how they work, differences among them, types of performance metrics, pros and cons.
• Types of ML models include linear regression, decision trees, support vector machines, neural networks, etc.

• ML models work by learning patterns from data to make predictions or decisions.

• Differences among models include complexity, interpretability, scalability, and performance.

• Performance metrics for ML mod...read more
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Develop a solution for inventory optimization of a Shoe retailer. Forecast sales and plan inventory at a store level for a national seller.

Why you want to join the company, Simple case (how do you use analytics to clear stock of a particular seasonal product after the peak season).

Q1. Project related discussions
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Q2. Meduim level SQl and DSA
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Q1. This was data modelling round
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Q2. Design a uber data model
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Uber data model design for efficient storage and retrieval of ride-related information.
• Create tables for users, drivers, rides, payments, and ratings

• Include attributes like user_id, driver_id, ride_id, payment_id, rating_id, timestamp, location, fare, etc.

• Establish relationships between tables using foreign keys

• Implement indexing for faster query performance
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