36 practice questions with answers for Business Analytics interviews in Delhi.
Business Analytics jobs in Delhi
Delhi NCR has one of India's biggest pools of IT, consulting, banking and start-up jobs. Delhi itself hosts many corporate, government-tech and consulting offices, and most candidates also apply across Noida and Gurgaon, so interviews here mix service-company and product-company styles.
Below are 36 questions that match the mix of service, product and domain employers hiring business analysts in Delhi.
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01
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.
02
Guesstimate: how many cars are sold in India every year?
Structure it: households × car-owning share ÷ replacement cycle + first-time buyers + commercial fleet. State each assumption clearly and sanity-check the final number.
03
What is an event tracking plan and why does it matter?
A tracking plan is a document listing every event the product should log, such as 'checkout_started', with its trigger, properties like price, plan or source, naming rules and owner. It keeps data consistent across web, Android and iOS, prevents duplicate or vague events and makes analysis trustworthy. Without one, teams end up with events like 'click1' and 'buttonClick' meaning the same thing, and analysis becomes guesswork.
A balanced scorecard is a strategic performance framework that tracks objectives and KPIs across four perspectives: financial (revenue growth, margin), customer (NPS, retention), internal processes (cycle time, defect rate) and learning and growth (training hours, employee engagement). The idea is that financial results are lagging, so leaders also need leading measures of what drives future performance. A strategy map links the objectives with cause-and-effect arrows from people to processes to customers to financial outcomes.
Funnel analysis measures how many users move through a sequence of steps towards a goal, such as visit, product view, add to cart, checkout and payment, and the conversion and drop-off at each step. It shows where the biggest leak is so the team can focus fixes there. Break funnels down by device, channel and new versus returning users, and define a time window for completing the steps.
07
A company reports a profit every quarter but is running out of cash. How do you explain and investigate it?
Profit is an accrual figure, while cash depends on timing. Check working capital first: receivables may be growing because customers pay late, inventory may be piling up, or suppliers may be demanding faster payment. Then look at large capex, loan repayments, and dividends. Review the cash flow statement and compute days sales outstanding and inventory days over time. Fixes include tighter credit terms, collection drives, inventory reduction and renegotiating supplier terms.
08
A bank wants to reduce customer churn. What would you do?
Define churn, analyse who leaves and why, segment customers, find drivers through data and surveys, design retention offers and measure uplift with a control group.
09
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)
10
A stakeholder's only requirement is 'make the app faster'. How do you turn this into clear requirements?
Ask which screens or actions feel slow, for which users, on which devices and networks, and how it affects the business, such as checkout drop-off. Gather current timings from monitoring data. Then write measurable non-functional requirements, for example 'the search results page loads within 2 seconds for 95 percent of requests on a 4G connection'. Confirm targets with the stakeholder and agree how they will be tested.
// second highest value
=LARGE(C2:C100, 2)
// rep name for that value
=INDEX(B2:B100, MATCH(LARGE(C2:C100, 2), C2:C100, 0))
// with ties, SORTBY gives a clean list:
=TAKE(SORTBY(B2:C100, C2:C100, -1), 2)
13
What is backlog refinement and what is the BA's role in it?
Backlog refinement, also called grooming, is a regular session where the team reviews upcoming backlog items to clarify, split, estimate and order them, so the next sprints have ready work. The BA prepares the stories in advance with business context, acceptance criteria, rules and examples, answers questions from developers and testers, and captures follow-ups. It is usually a short weekly session, not a sprint ceremony.
14
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.
Dynamic array functions return several values that spill into neighbouring cells. UNIQUE lists distinct values, SORT and SORTBY order data, FILTER returns rows meeting conditions, SEQUENCE builds number series, and XLOOKUP can return whole rows. For example =SORT(UNIQUE(FILTER(Sales[Region], Sales[Year]=2026))) builds a live region list. They replace many helper columns and Ctrl+Shift+Enter array formulas, and the # operator references a full spill range.
20
Write a SQL query to calculate the repeat purchase rate.
WITH per_customer AS (
SELECT customer_id, COUNT(DISTINCT order_id) AS orders
FROM orders
GROUP BY customer_id
)
SELECT
ROUND(100.0 * SUM(CASE WHEN orders >= 2 THEN 1 ELSE 0 END)
/ COUNT(*), 2) AS repeat_rate_pct
FROM per_customer;
21
A KPI on your dashboard dropped 40 percent overnight. What are your first steps?
Assume a data problem until proven otherwise, because real businesses rarely move 40 percent in a day. Check whether the refresh completed, whether source row counts look normal, and whether any tracking, pipeline or definition changed. Compare with a raw source query and a related metric, such as orders versus payments. If the data is fine, segment by channel, region and platform to locate the drop, then alert the owners quickly.
Net revenue after discount is 600 minus 50, which is 550 rupees. Variable costs are 360 plus 60 plus 12, totalling 432. Contribution margin is 550 minus 432, so 118 rupees per order, or about 21 percent of net revenue. This is what each order contributes towards fixed costs such as salaries and rent. If the discount were raised to 150, the order would contribute only 18 rupees.
Situation: I worked on a reporting project where the business owners were in the UK and the development team was in Pune. Task: gather and confirm requirements without long delays. Action: I fixed a daily 30-minute overlap call, sent written summaries with decisions and open questions after each meeting, and used recorded walkthroughs of prototypes. I also learned that the UK team preferred direct written feedback. Result: we closed requirements in three weeks instead of the planned five.
A defect is logged as New with steps, expected and actual results, and evidence. It is reviewed in triage and moves to Open or Assigned, or to Rejected, Duplicate or Deferred. The developer fixes it and marks it Fixed or Ready for retest. The tester retests: if it passes it moves to Closed, and if not it is Reopened. Tracking status and age helps the UAT lead report readiness and spot defects stuck too long.
27
Write a user story with acceptance criteria for password reset.
As a customer, I want to reset my password by email so that I can get back into my account.
Acceptance criteria:
• Reset link expires in 15 minutes
• Password rules are shown while typing
• A success message appears after reset
28
Write a SQL query to get each customer's first order date and first order amount.
WITH ordered AS (
SELECT customer_id, order_date, amount,
ROW_NUMBER() OVER (PARTITION BY customer_id
ORDER BY order_date, order_id) AS rn
FROM orders
)
SELECT customer_id, order_date AS first_order_date,
amount AS first_order_amount
FROM ordered
WHERE rn = 1;
LTV to CAC compares the lifetime gross profit from a customer with the cost of acquiring them. A ratio around 3 to 1 is commonly treated as healthy. Below 1 means you lose money on every customer. Far above 5 may mean you are underinvesting in growth. Always compute LTV on gross margin, not revenue, and check it by channel, because blended averages hide loss-making channels.
Situation: a regional manager wanted a custom report changed daily, which would have taken half my week. Task: support him without blocking other priorities. Action: I asked which decisions the report fed and found he needed only four numbers. I said no to the custom version, explained the impact on other work, and added those four metrics with a filter to the existing dashboard. Result: he got his numbers the same day and the team kept its capacity.
33
Write an Excel formula for a two-way lookup that finds sales for a given product and month.
Uncontrolled growth of requirements. Control it with a clear scope statement, change control process, impact analysis and sponsor approval for additions.
36
What is the logical order in which a SQL SELECT query is executed?
Logically the database processes FROM and JOIN first, then WHERE, GROUP BY, HAVING, SELECT, DISTINCT, ORDER BY and finally LIMIT or TOP. This explains common errors: you cannot use a SELECT alias in WHERE because WHERE runs earlier, aggregate conditions must go in HAVING, and window functions cannot be filtered in WHERE, so you wrap them in a CTE or subquery. The optimiser may physically reorder steps, but the result follows this order.
Which companies hire Business Analytics professionals in Delhi?
Companies with large offices in Delhi include Samsung, Boston Consulting Group. Use their company pages below to practise employer-specific sets.
Are Business Analytics interviews in Delhi different from other cities?
The questions depend more on the company than the city. Delhi's mix of employers decides the style: Delhi itself hosts many corporate, government-tech and consulting offices, and most candidates also apply across Noida and Gurgaon, so interviews here mix service-company and product-company styles
How do I find Business Analytics jobs in Delhi?
Shortlist companies with Delhi offices, keep your CV focused on Business Analytics projects, apply on company career pages and job portals with the Delhi filter, and practise the questions on this page before each interview.