Business Analytics Interview Questions for E-commerce & consumer tech Companies
40 questions weighted to the interview style of e-commerce & consumer tech companies — 1 easy, 32 medium, 7 hard.
How e-commerce & consumer tech companies interview for Business Analytics
E-commerce and consumer-internet companies work at large scale with fast release cycles. Interviews focus on practical skill, metrics such as conversion and retention, scenario questions from real product problems, and how you work under tight timelines.
This set focuses on Product Analytics (7), Case Studies and Guesstimates (6), SQL for Business Analysis (6), Power BI and Tableau (4).
Hiring manager round HR round Technical or case round Technical round 1 Online assessment (coding or SQL)
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01
A bank's mobile app logins increased, but digital transactions fell. What could explain this?
Users are coming but not completing transactions, so look at the gap. Possible causes: a release that broke a payment flow, new security steps like extra OTPs adding friction, logins driven by balance checks or offers, or transactions shifting to another channel. Compare the funnel from login to transaction by app version and device, check failure and error rates, and review support complaints before recommending fixes.
02
How do you calculate monthly revenue growth in SQL?
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.
Level of Detail expressions compute an aggregate at a granularity different from the view. FIXED computes at the stated dimensions regardless of the view, for example { FIXED [Customer ID] : MIN([Order Date]) } for first purchase date. INCLUDE adds a dimension to the view level, useful for average sales per customer by region. EXCLUDE removes a dimension, useful for comparing each month with the yearly total. FIXED ignores normal dimension filters unless they are context filters.
06
How would you decide whether to launch a new product?
Assess market size and demand, customer need, competition, unit economics, capabilities, risks and strategic fit, then test with a pilot before scale-up.
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.
Row context means DAX is evaluating one row at a time, as in a calculated column or inside iterators like SUMX. Filter context is the set of filters coming from slicers, visuals, rows, columns and CALCULATE that decides which rows a measure sees. Row context does not filter other tables by itself; context transition through CALCULATE converts it into filter context. Most wrong-number bugs in DAX come from misunderstanding these two.
09
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.
10
You receive two customer lists from sales and billing and must reconcile them. How do you do it?
Standardise both first: trim spaces, fix case, convert IDs to the same type and remove duplicates. Use a unique key like customer ID, or a combined key of phone and email if IDs differ. Then use XLOOKUP or COUNTIFS to mark each record as matched, only in sales or only in billing, or a Power Query merge with anti joins. Summarise mismatches by type and share the exception list with both owners.
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
How do you estimate the annual revenue of a coffee shop chain?
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.
14
What steps do you follow to plan and run a UAT cycle?
Plan: agree scope, entry and exit criteria, testers and schedule with the business owner. Prepare: write scenarios and test cases from requirements, set up the environment and test data, and brief testers. Execute: run test cases in daily sessions, log defects with evidence and hold a daily triage. Monitor: report progress, pass rate and open defects by severity. Close: check exit criteria, get the business sign-off with known issues documented, and hold a short lessons-learned review.
15
After a redesign, average time spent in the app increased. Is that good?
It depends on the product's goal. For a content or learning app, more time may mean more engagement. For a payments or banking app, more time can mean users struggle to complete tasks. Check task completion rate, time to complete key actions, errors, support tickets and retention. A metric is good only when it moves in line with the value users came for.
16
How would you size the market for IT courses in Delhi NCR?
Top-down: NCR population aged 18–30 × share of graduates × share wanting paid upskilling × average fee. Cross-check bottom-up with institutes × batches × students × fees. State your assumptions.
17
What checklist do you apply to a BPMN diagram before sharing it with stakeholders?
Every diagram has clear start and end events and a title with version and owner. Activities use verb-noun names such as Approve invoice. Each gateway is labelled with a question and its outgoing flows with answers. Splits and joins use matching gateway types. Message flows only connect separate pools. No dangling or crossing arrows where avoidable. The happy path reads left to right. Exceptions are handled, and complex rules are referenced to decision tables rather than drawn as gateways.
18
A new onboarding flow increased sign-ups by 15 percent, but Day-7 retention fell. How do you analyse this?
Check whether the extra sign-ups are lower-intent users who would naturally retain less. Compare Day-7 retention for comparable users in both versions and count retained users in absolute terms, not just rates. If the new flow skips a step that led users to the aha moment, retention per user may truly fall. The decision depends on whether total retained, valuable users went up or down.
19
How do you influence stakeholders when you have no direct authority?
Build credibility with accurate work and by understanding each stakeholder's goals and pressures. Frame proposals in terms of their outcomes, such as cost saved or targets met, and back them with data. Involve them early so ideas feel shared, find allies who already support the change, and pilot small to show results. Be transparent about trade-offs. Influence comes from trust built over time, not one meeting.
20
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.
21
Inventory days rose from 45 to 70 over two quarters. What could be the causes and what would you recommend?
Possible causes include falling sales against unchanged purchasing, poor demand forecasts, bulk buying for discounts, slow-moving or obsolete SKUs, or deliberate stock-building ahead of a festive season or expected price rise. Analyse by SKU, warehouse and age bucket to find where stock is stuck. Recommend clearing aged items, adjusting reorder points using recent demand, and reviewing supplier minimum order quantities. Also quantify the cash locked up and the carrying cost to show urgency.
22
Guesstimate: how many weddings take place in India in a year?
Assume a population of about 144 crore and an average life expectancy of about 70 years, so roughly 2 crore people reach a typical marriage age each year. If about 95 percent of them marry at some point, that is around 1.9 crore people, or about 95 lakh weddings, since each wedding involves two people. A reasonable estimate is around 1 crore weddings per year, concentrated in the winter wedding season.
23
What steps would you follow to run a process discovery workshop?
Before: agree scope and process boundaries, invite people who actually do the work, not only managers, and collect existing documents and sample cases. During: state the goal, map the happy path first on a wall or digital board, then add exceptions, pain points, handoffs and volumes, and park off-topic issues. Keep timing visible. After: convert the output to a clean BPMN diagram within two days, circulate it for validation, and record open questions with owners and dates.
24
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.
# 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.
27
A query using NOT IN to find customers without orders returns zero rows, although you know such customers exist. Why?
The subquery probably returns at least one NULL, for example SELECT customer_id FROM orders where some orders have a NULL customer_id. With NOT IN, comparing any value to NULL gives UNKNOWN, so no row passes the condition. Fix it by using NOT EXISTS with a correlated subquery, or a LEFT JOIN with WHERE o.customer_id IS NULL, or by adding WHERE customer_id IS NOT NULL inside the subquery. NOT EXISTS is the safest habit.
28
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.
29
What is a process flow and which tools do you use?
Find out whether it is a discovery problem or a value problem. Check how many users saw the entry point, how many tried it and how many returned. If few saw it, test better placement or onboarding prompts. If many tried and few returned, interview users and review session recordings to understand why. Also check if the 4 percent are high-value users. Then decide to improve, reposition or remove it.
31
How do you handle NULL values when calculating averages?
Split into revenue and cost, then revenue into price, volume and mix, and cost into fixed and variable; check internal factors and external market factors.
33
Your process diagram has grown to 80 shapes on one page and stakeholders say they cannot read it. What do you do?
Restructure it into levels. Create a high-level map with 7 to 10 main steps, then collapse detailed parts into sub-processes with their own diagrams. Move complex decision logic into a decision table rather than chains of gateways. Show the happy path first and handle exceptions in separate views. Use consistent naming in verb-noun form and remove duplicated steps. Finally, test readability by asking a stakeholder to explain the diagram back to you.
34
Write a SQL query that shows revenue, cost and gross margin percent by product category.
SELECT
p.category,
SUM(oi.quantity * oi.unit_price) AS revenue,
SUM(oi.quantity * p.unit_cost) AS cost,
ROUND(100.0 * (SUM(oi.quantity * oi.unit_price)
- SUM(oi.quantity * p.unit_cost))
/ NULLIF(SUM(oi.quantity * oi.unit_price), 0), 2) AS gross_margin_pct
FROM order_items oi
JOIN products p ON p.product_id = oi.product_id
GROUP BY p.category
ORDER BY gross_margin_pct DESC;
35
How would you improve a company's low app conversion rate?
WITH daily AS (
SELECT order_date, SUM(amount) AS revenue
FROM orders
GROUP BY order_date
)
SELECT order_date, revenue,
AVG(revenue) OVER (ORDER BY order_date
ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS rolling_7d
FROM daily
ORDER BY order_date;
-- fill missing dates from a calendar table first, or gaps skew the average
37
After many sprints, project documentation is out of date and new team members are confused. What do you do?
Identify which documents are actually used: usually a product overview, process maps, business rules, data dictionary and integration details. Update those first rather than everything. Make documentation part of the Definition of Done, so a story is not complete until related docs are updated. Keep living documents in a shared wiki with owners and last-reviewed dates, and archive outdated files clearly. Test the result by having a new joiner use it during onboarding.
38
After joining orders to a payments table, your total revenue doubled. What went wrong?
The join created a fan-out: some orders have more than one payment row, such as split payments or retries, so each order amount is repeated. Check the grain by counting rows per order_id on both sides. Fix it by aggregating payments to one row per order in a CTE before joining, joining on the full key, or summing from the table whose grain matches the metric. Always compare row counts before and after a join.
39
A hospital chain's average patient waiting time has risen from 30 to 50 minutes. How would you approach the case?
Clarify where the wait is measured: registration, consultation, diagnostics or billing. Split the problem into demand and capacity. On demand, check patient volume, peak-hour mix, walk-ins versus appointments and new departments. On capacity, check doctor availability, no-shows of staff, consultation time per patient and process bottlenecks such as manual billing. Identify the biggest stage and suggest fixes like slot-based appointments, triage and digital billing.
40
Compare Import mode, DirectQuery and Live Connection in Power BI.
Import copies data into the compressed in-memory model, giving the fastest visuals and full DAX, but data is only as fresh as the last refresh and size is limited. DirectQuery sends queries to the source at view time, so data is near real time but visuals are slower and some DAX is restricted. Live Connection points to an existing published semantic model or Analysis Services model without its own model. Composite models mix Import and DirectQuery.
How are Business Analytics interviews at e-commerce & consumer tech companies different?
E-commerce and consumer-internet companies work at large scale with fast release cycles. Interviews focus on practical skill, metrics such as conversion and retention, scenario questions from real product problems, and how you work under tight timelines.
Which e-commerce & consumer tech companies are covered?
This page links to 14 e-commerce & consumer tech companies, including Walmart, Flipkart, Swiggy, Zomato, Zepto, Meesho, Myntra, MakeMyTrip. Each has its own page with rounds and a separate practice set.
What rounds should I expect?
Common rounds at these companies include: Hiring manager round; HR round; Technical or case round; Technical round 1; Online assessment (coding or SQL). The exact process varies by company and role.