BigBasket Business Analytics Interview Questions & Answers
Curated interview practice questions with answers. These are practice scenarios, not a verified list of past interview questions.
About BigBasket hiring for Business Analytics roles
BigBasket is an Indian online grocery company, majority owned by the Tata Group, that delivers fruits, vegetables, staples and household products. It runs scheduled delivery and quick commerce services such as BB Now across many cities. Its Bengaluru technology and business teams hire software engineers, data analysts, data scientists, supply chain analysts and product managers.
For Business Analytics roles, this BigBasket practice set focuses most on Case Studies and Guesstimates (7), Product Analytics (6), Requirements and Agile (5), Excel for Business Analysts (5). It has 3 easy, 28 medium, 9 hard questions, so you can start easy and work up to the harder ones.
Company type
E-commerce & consumer tech
Headquarters
Bengaluru, India
Main India offices
Bengaluru
BigBasket Business Analytics interview process
Online coding or analytics assessment
Technical round 1
Technical round 2 (design or case)
Hiring manager round
Typical pattern based on public candidate experiences. Rounds vary by role, team and year.
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01
Write non-functional requirements for an online payment page.
NFR-01 Performance: the payment page loads within 2 seconds for 95 percent of requests at 500 concurrent users. NFR-02 Availability: 99.9 percent monthly uptime outside planned maintenance. NFR-03 Security: card data is never stored by the application, and all traffic uses TLS 1.2 or higher. NFR-04 Compliance: the flow meets PCI DSS and RBI payment guidelines. NFR-05 Usability: works on mobile screens from 360 pixels wide. NFR-06 Audit: every transaction attempt is logged with a timestamp.
02
In UAT cycle 2, a feature that passed in cycle 1 is now broken after a defect fix. What does this tell you and what should change?
It is a regression: the fix for one defect broke existing functionality, which usually means changes were not impact-analysed and there is no regression suite. Log it as a new high-priority defect linked to the fix. Agree with the team that every UAT build comes with release notes listing the changes, and that QA runs an automated or core manual regression pack before handing the build to business testers. Also add the broken flow to the UAT regression checklist.
03
How do you write an effective executive summary for an analysis report?
Put it first and keep it to one page or five lines on a slide. Start with the answer or recommendation, then the two or three key findings that support it, each with a number, then the impact in rupees or percentage, and finally the decision or action needed and by when. Avoid methodology details, which go in the appendix. Test it by asking whether a busy leader could act after reading only this section.
04
How would you build a simple financial model in Excel?
The cash conversion cycle measures how many days cash is tied up in operations. It equals days inventory outstanding plus days sales outstanding minus days payables outstanding. Example: inventory sits 40 days, customers pay in 30 days and suppliers are paid in 45 days, so the cycle is 40 + 30 - 45 = 25 days. A shorter cycle means less working capital is needed. Some marketplaces have a negative cycle because they collect from customers before paying sellers.
06
What steps would you follow to create a tracking plan for a new 'save for later' feature?
Start from the questions to answer: how many users discover it, use it and later buy saved items. Define events such as save_clicked, saved_item_viewed, saved_item_removed and saved_item_purchased, with properties like product ID, price, source screen and platform. Follow the existing naming convention, assign owners, review with developers, and test events in a staging build. Build the dashboard before launch so data is checked on day one.
07
A product manager wants to stop an A/B test after three days because the variant is winning. What do you advise?
Advise against it. Checking results repeatedly and stopping at the first significant result inflates false positives, often far beyond the planned 5 percent. Three days also misses weekly patterns and novelty effects. Run the test for the pre-calculated sample size and duration. If speed is critical, the team can use a sequential testing method designed for early looks, but that must be planned before the test starts.
08
A product line shows a loss after allocated overheads. Leadership wants to shut it down. How do you advise?
Separate contribution from allocation. If the product's revenue exceeds its variable and directly attributable fixed costs, it contributes to covering shared overheads, which will not disappear if it is closed and will be reallocated to other products. Check whether the overhead allocation key, such as revenue share, is fair. Also consider strategic links, like customers who buy it alongside profitable products. Recommend shutting it only if contribution is negative or the freed capacity has a better use.
09
How would you analyse the declining sales of a retail store?
Rule out data issues first: tracking changes, app release bugs, pipeline delays or bot filters. Check whether the drop is seasonal by comparing with the same week last year or a festival calendar. Then segment by platform, app version, country or city, acquisition channel and new versus returning users to locate it. Look at the funnel for the core action. Connect findings to releases, outages or marketing changes, then recommend fixes.
11
Write a SQL query for Day-7 retention by weekly sign-up cohort.
WITH cohort AS (
SELECT user_id, signup_date,
DATE_TRUNC('week', signup_date) AS cohort_week
FROM users
),
ret AS (
SELECT DISTINCT c.user_id
FROM cohort c
JOIN events e ON e.user_id = c.user_id
AND e.event_date = c.signup_date + INTERVAL '7 day'
)
SELECT c.cohort_week, COUNT(*) AS users,
ROUND(100.0 * COUNT(r.user_id) / COUNT(*), 1) AS d7_retention_pct
FROM cohort c
LEFT JOIN ret r ON r.user_id = c.user_id
GROUP BY c.cohort_week
ORDER BY c.cohort_week;
12
A business tester raises a defect, and the developer closes it as 'works as designed'. How do you resolve it?
Go back to the requirement and acceptance criteria. If the system matches the agreed requirement, the developer is right, and the business need is a change request. If the requirement is unclear or the design misread it, it is a defect, and the requirement wording should be fixed. Discuss it in triage with both parties, using examples. Either way, close the loop with the tester so they understand the outcome and keep trusting the process.
13
Tell me about a dashboard you built that changed a business decision.
Situation: regional sales heads reviewed discount spend only at month end. Task: I was asked to give weekly visibility. Action: I built a Power BI report linking discounts to margin by product and region, with a drill-through to deal level and an alert when margin fell below target. Result: the team spotted two regions giving deep discounts on low-margin items, tightened approval rules, and margin improved by about two points the next quarter.
14
Guesstimate: how many cups of tea are sold in Delhi per day?
Population about 20 million, adult tea drinkers about 50%, cups bought outside per person around 1 on average. This gives roughly 10 million cups, then adjust for offices and stalls.
15
How can LET and LAMBDA make complex Excel formulas easier to maintain? Give an example.
// LET names intermediate values so they are calculated once
=LET(rev, SUM(C2:C100), cost, SUM(D2:D100),
IF(rev=0, 0, (rev - cost) / rev))
// LAMBDA saved in Name Manager as MARGIN
=LAMBDA(rev, cost, IF(rev=0, 0, (rev - cost) / rev))
// then use =MARGIN(C2, D2) anywhere in the workbook
16
What is user activation and what is an 'aha moment'?
Activation is the point at which a new user first experiences the product's core value, such as completing a first lesson, sending a first payment or creating a first project. The aha moment is the specific early action that strongly predicts long-term retention, found by comparing retained and churned users. Teams then design onboarding to get more new users to that action quickly and track the activation rate.
17
Write Given-When-Then acceptance criteria for applying a discount coupon at checkout.
Given a cart of 1,200 rupees and a valid coupon SAVE10 with a minimum order of 1,000 rupees, when the user applies it, then 10 percent is deducted and the new total is shown. Given an expired coupon, when applied, then the message 'This coupon has expired' appears and the total is unchanged. Given a cart below the minimum, when applied, then the user is told how much more to add.
18
Why do Agile teams estimate in story points rather than hours?
Story points measure relative effort, complexity and uncertainty compared with a reference story, using a scale like 1, 2, 3, 5, 8. People are better at comparing sizes than predicting exact hours, and points do not depend on who does the work. Over a few sprints the team's velocity, points completed per sprint, makes forecasting reliable. Points should never be used to compare productivity across teams.
19
An online learning platform finds that only 12 percent of learners complete paid courses. How do you analyse it?
Define completion and see where learners drop: first week, a specific module or before assessments. Segment by course, length, learner background, device and acquisition channel. Look at causes in content difficulty, video length, lack of deadlines, mentor support and job relevance. Recommend tests such as shorter modules, cohort-based deadlines, progress nudges and live doubt sessions, and measure completion and referral impact.
20
Write a SQL query for the top 3 products by revenue in each category.
WITH ranked AS (
SELECT category, product_id, SUM(amount) AS revenue,
DENSE_RANK() OVER (PARTITION BY category
ORDER BY SUM(amount) DESC) AS rk
FROM sales
GROUP BY category, product_id
)
SELECT category, product_id, revenue
FROM ranked
WHERE rk <= 3
ORDER BY category, rk;
21
A project's business case promised 30 percent cost savings, but after go-live only 10 percent is realised. What do you do?
Run a benefits review against the original baseline and assumptions. Check whether savings depended on actions that did not happen, such as reducing manual roles, retiring the old system or full user adoption. Check whether the baseline or volumes changed. Separate delayed benefits from lost ones. Then produce a recovery plan with owners, for example decommissioning the legacy licence or driving adoption. Also feed the lessons into how future business cases estimate benefits.
22
How do you calculate cycle time, touch time and process efficiency? Give an example.
Cycle time (lead time) is the total elapsed time from the start to the end of a case. Touch time is the time someone actually works on it. Process cycle efficiency is touch time divided by cycle time. Example: a refund takes 5 working days (40 working hours) end to end, but the agents spend only 2 hours in total working on it. Efficiency is 2 / 40 = 5 percent, so 95 percent of the time is waiting, and queues are the main target.
23
The CEO wants one KPI to judge the customer support team. What would you propose?
A single KPI can be gamed, so I would propose one headline with guardrails. The headline could be first-contact resolution rate, because it reflects solving problems, not just closing tickets. Guardrails would be customer satisfaction score after the ticket and median first response time. I would also watch ticket volume per thousand orders, which shows whether product issues are falling. Review targets quarterly with the support head.
24
Write an Excel formula for the NPV of a project with an initial investment today and five yearly cash inflows.
# B1 = discount rate (for example 12%)
# B2 = initial investment entered as a negative number
# B3:B7 = cash inflows for years 1 to 5
=NPV(B1, B3:B7) + B2
# NPV() assumes the first value comes at the end of year 1,
# so the year-0 investment is added outside the function.
A language for querying databases. BAs use it to pull data themselves, validate numbers, check reports and answer questions without waiting for engineers.
26
Write an Excel formula for working days between two dates excluding weekends and holidays.
// A2 = start, B2 = end, Holidays = named range of holiday dates
=NETWORKDAYS(A2, B2, Holidays)
// if the weekend is only Sunday (common in India)
=NETWORKDAYS.INTL(A2, B2, 11, Holidays)
Situation: a new developer built a GST calculation from an old FRD version, and the error was caught only in UAT. Task: fix the defect and prevent repeats. Action: I moved all requirement documents into one shared space with version history, added a change log and status labels such as draft or approved, and linked each user story to the latest approved section. Result: in the next two releases we had no defects caused by outdated specifications.
29
What do statistical significance and p-value mean in an A/B test?
The p-value is the probability of seeing a difference at least as large as observed if the change truly had no effect. If it is below the chosen threshold, often 0.05, the result is called statistically significant. It does not mean there is a 95 percent chance the variant is better, and significance is not the same as business importance. Always report the confidence interval of the lift as well.
30
In the middle of a sprint, a senior stakeholder asks to add an urgent feature. What do you do?
Understand the urgency and the business impact of waiting until the next sprint. Bring it to the product owner, who decides. If it truly cannot wait, the team agrees to swap out work of similar size so the sprint goal stays realistic, and the trade-off is made visible to the stakeholder. If it can wait, add it to the top of the backlog for the next sprint. Avoid silently adding scope.
31
Guesstimate: what is the annual revenue of one multiplex screen in a large Indian city?
Assume 5 shows a day and 200 seats with 30 percent average occupancy, giving 300 tickets a day. At an average ticket of 250 rupees, ticket revenue is 75,000 rupees a day. Food and beverage adds about 40 percent of ticket revenue, around 30,000, and screen ads maybe 5,000. That is about 1.1 lakh a day, or around 4 crore a year. Weekends and blockbuster releases push occupancy higher.
32
Revenue grew but profit fell. Why could that happen?
Look at the cost side: heavier discounts, higher CAC, logistics costs, product mix shifting to low-margin items, one-time expenses or pricing changes. Break contribution margin down by segment.
A sequence flow is a solid arrow that shows the order of activities inside one pool, so it represents work controlled by one participant. A message flow is a dashed arrow with an open circle at its start and shows communication between two different pools, such as an order email from a customer to a seller. A common modelling mistake is drawing sequence flows across pools, which wrongly implies one party controls the other's work.
36
What are the steps to publish and share a Power BI report with your team?
Save the .pbix and click Publish, choosing the team workspace. In the Service, set data source credentials and, for on-premises data, configure the gateway. Schedule refresh. Then share by giving workspace access to editors, or package it as an app for viewers, and apply row-level security roles if needed. Finally, check it on web and mobile and send the link with a short note on what each page answers.
37
Two analysts report different monthly active user numbers from the same database. How do you resolve it?
Put both queries side by side and compare definitions: which events count as active, time zone, calendar versus rolling month, test and internal accounts, deleted users, and DISTINCT on user ID versus device ID. Run both on a single day to find where they diverge. Agree on one definition with the metric owner, document it, and publish it as a shared view or metric so everyone queries the same logic.
38
Finance asks you to build a monthly cohort retention table in Excel from raw order data. How do you approach it?
Add a helper column for each customer's first order month using MINIFS on customer ID, and another for the order month. Compute the month index as the difference in months between them. Then build a PivotTable or COUNTIFS grid with cohort month as rows, month index as columns and distinct customers as values. Divide each cell by the month-zero count to get retention percentages and add a colour scale to show decay.
39
Guesstimate: how many laptops are sold in India each year?
Segment by buyer. Households: about 30 crore households, roughly 15 percent own a laptop, so 4.5 crore laptops, replaced every 5 years, gives about 90 lakh a year, plus around 20 lakh first-time student buyers. Businesses: assume 4 crore office workers using laptops, replaced every 4 years, giving 1 crore. Government and education schemes add around 10 lakh. Total is about 2.2 crore. Sanity check against industry trends and give a range of 1.5 to 2.5 crore.
40
Split the epic 'Customers can track their order online' into user stories.
Possible stories: As a customer, I want to see my order status (placed, packed, shipped, delivered) so that I know its progress. As a customer, I want an SMS or email when the status changes so that I do not have to check. As a customer, I want the expected delivery date so that I can plan. As a customer, I want a courier tracking link once shipped. As support staff, I want to see the same timeline so that I can answer queries.
Tips to crack the BigBasket Business Analytics interview
Practise DSA for engineering roles, and SQL plus Excel for analyst roles, as these are commonly tested in screening.
Think through grocery supply chain problems like demand forecasting, inventory freshness and delivery slot planning before case rounds.
Use the BigBasket app and note improvement ideas, which helps in product sense and why-BigBasket discussions.
Keep a one-minute story ready for every project on your CV: problem, your part, tools, result.
Practise the hard questions on this page aloud; BigBasket interviewers usually ask follow-ups on your first answer.
Frequently asked questions
How many rounds are there in the BigBasket Business Analytics interview?
Candidates usually go through 4 stages: Online coding or analytics assessment; Technical round 1; Technical round 2 (design or case); Hiring manager round. The exact rounds change with the role, team, location and your experience, so confirm the process with the recruiter.
Which topics should I prepare for the BigBasket Business Analytics interview?
This practice set leans on Case Studies and Guesstimates (7), Product Analytics (6), Requirements and Agile (5), Excel for Business Analysts (5). Revise those first, then practise explaining one or two of your own projects end to end, because most BigBasket interviewers ask you to walk through real work.
Are these the exact questions asked at BigBasket?
No. These are curated practice questions that match the skills and difficulty usually tested in e-commerce & consumer tech interviews like BigBasket's. They are not a leaked or verified list of past questions.
Where does BigBasket hire Business Analytics professionals in India?
BigBasket has large teams in Bengaluru. Openings and locations change often, so check the BigBasket careers page and filter by city and experience.
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