Lenskart Business Analytics Interview Questions & Answers
Curated interview practice questions with answers. These are practice scenarios, not a verified list of past interview questions.
About Lenskart hiring for Business Analytics roles
Lenskart is an Indian eyewear company that sells spectacles, sunglasses and contact lenses through its website, app and a large chain of retail stores. It combines online shopping with home eye tests, virtual try-on technology and in-house manufacturing. It hires software engineers, data analysts, product managers and retail and operations roles across its technology and business teams.
For Business Analytics roles, this Lenskart practice set focuses most on Case Studies and Guesstimates (8), Requirements and Agile (6), Excel for Business Analysts (5), UAT and BA Documentation (5). It has 1 easy, 32 medium, 7 hard questions, so you can start easy and work up to the harder ones.
Company type
E-commerce & consumer tech
Headquarters
Gurugram, India
Main India offices
Gurugram, Bengaluru
Lenskart Business Analytics interview process
Online coding or analytics assessment
Technical round
Case or managerial round
HR round
Typical pattern based on public candidate experiences. Rounds vary by role, team and year.
Solved for LenskartStart practicing
3 QUESTIONS FREESign up to unlock the full question bank and track your progress.Unlock every question and answer, then continue practising company-wise and package-wise.
✓ 3 questions free • Unlock the rest in seconds
01
A manager says the dashboard total does not match the finance team's Excel sheet. What do you do?
First agree on the definition: date range, gross or net, tax, returns, currency and which date (order or invoice) is used. Then reconcile at a small grain, such as one month and one region, comparing row counts and sums between the source query and the sheet. Common causes are filters on the page, missing relationships, duplicate rows after a join or a late refresh. Document the agreed definition in the report tooltip.
02
How do you calculate the percentage contribution of each category?
Check the refresh history error first: expired credentials, gateway offline, source schema change or timeout. Fix the quick cause and trigger a manual refresh. If it cannot be fixed in time, inform the stakeholders early, state the last refreshed date clearly on the report and share the key numbers from a direct query if needed. Afterwards add refresh failure alerts and a data-as-of label so it never surprises anyone.
Log the change, assess impact on scope, cost and timeline, get approval through change control or backlog grooming, and update documents and stakeholders.
06
Tell me about a time a SQL query you wrote gave wrong results. How did you catch it?
Situation: my weekly sales report showed a 12 percent jump that no one could explain. Task: verify the number before it reached leadership. Action: I compared row counts before and after each join and found a new promotions table had multiple rows per order, duplicating revenue. I aggregated promotions per order first and added a test comparing totals with the source. Result: the corrected report went out the same day, and I now check grain on every new join.
07
How do you calculate monthly revenue growth in SQL?
Situation: a new claims system passed QA, but in UAT a claims officer tried a real scenario with two policies on one claim. Task: as BA I had to assess and resolve it quickly. Action: I confirmed the requirement never covered multi-policy claims, quantified that 8 percent of claims were affected, and agreed a manual workaround while the change was built. Result: we went live on time, delivered the fix in the next release, and I added real case samples to future test design.
09
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.
10
Write a SQL query to calculate the DAU to MAU stickiness ratio for a month.
WITH daily AS (
SELECT event_date, COUNT(DISTINCT user_id) AS dau
FROM events
WHERE event_date >= '2026-10-01' AND event_date < '2026-11-01'
GROUP BY event_date
),
monthly AS (
SELECT COUNT(DISTINCT user_id) AS mau
FROM events
WHERE event_date >= '2026-10-01' AND event_date < '2026-11-01'
)
SELECT ROUND(AVG(d.dau) * 1.0 / MAX(m.mau), 3) AS stickiness
FROM daily d CROSS JOIN monthly m;
11
Write Excel formulas for IRR with yearly cash flows and XIRR with irregular dates.
# Yearly cash flows in B2:B7, year 0 investment negative
=IRR(B2:B7)
# Irregular dates: cash flows in B2:B7, dates in C2:C7
=XIRR(B2:B7, C2:C7)
# XIRR returns an annualised rate based on actual dates,
# which suits SIP returns or projects with uneven payments.
12
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;
13
What is normalisation, and why are analytics tables often denormalised?
Normalisation splits data into related tables to remove redundancy and update anomalies, which suits transactional systems that write often. Analytics workloads read far more than they write, so warehouses often denormalise into wide fact and dimension tables or star schemas. That reduces joins, makes queries simpler for analysts and speeds up aggregation, at the cost of extra storage and the need for controlled loading pipelines.
14
Write a SQL query to calculate monthly customer churn rate for a subscription business.
WITH monthly AS (
SELECT DISTINCT customer_id,
DATE_TRUNC('month', billing_date) AS month
FROM subscriptions_billed
)
SELECT
prev.month AS month,
COUNT(prev.customer_id) AS customers_at_start,
COUNT(prev.customer_id) - COUNT(nxt.customer_id) AS churned,
ROUND(100.0 * (COUNT(prev.customer_id) - COUNT(nxt.customer_id))
/ COUNT(prev.customer_id), 2) AS churn_pct
FROM monthly prev
LEFT JOIN monthly nxt
ON nxt.customer_id = prev.customer_id
AND nxt.month = prev.month + INTERVAL '1 month'
GROUP BY prev.month
ORDER BY prev.month;
15
How would you prioritise 10 features with a limited budget?
Score them with RICE or value-vs-effort, align with goals, consider dependencies and risks, validate with stakeholders, then use MoSCoW for the release plan.
DMN (Decision Model and Notation) is an OMG standard for modelling business decisions, mainly through decision tables that list input conditions, outputs and a hit policy. BPMN shows the flow of work, while DMN holds the decision logic. Instead of drawing ten nested gateways for loan eligibility, you place one business rule task in BPMN that calls a DMN table. This keeps diagrams clean and lets business users change rules without redrawing the process.
17
Developers and testers interpret the same user story differently. How do you fix this?
The story is ambiguous, so bring the three amigos together: BA or product owner, a developer and a tester. Walk through concrete examples, including edge cases and error cases, and write them as acceptance criteria, ideally in Given-When-Then format. Add business rules, sample data and mock-ups where needed. Update the story and use the same practice in refinement for future stories, so gaps are found before coding starts.
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.
A use case describes the full interaction between an actor and the system (main and alternate flows). A user story is a short statement of need from the user's point of view, refined with acceptance criteria.
21
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.
The filter from the row field is not reaching the fact table. Usually there is no relationship between that dimension and the fact, the relationship is inactive, or it filters in the wrong direction. It can also happen when the measure uses ALL or REMOVEFILTERS on that column, or when the row field comes from the fact table of a different grain. Check the model view and test the measure with a simple SUM.
24
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.
Get to the underlying business goal behind the requirement, because the goal is often achievable in another way. Ask developers to explain the constraint and the cost of alternatives. Bring both sides together with options: a simpler version, a phased delivery, a manual workaround or a different design. Show effort, risk and value for each, and let the product owner or sponsor decide. Document the decision.
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.
29
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.
-- 1. Row counts should match
SELECT
(SELECT COUNT(*) FROM legacy.customers) AS legacy_rows,
(SELECT COUNT(*) FROM target.customers) AS target_rows;
-- 2. Records missing in the target
SELECT l.customer_id
FROM legacy.customers l
LEFT JOIN target.customers t ON t.customer_id = l.customer_id
WHERE t.customer_id IS NULL;
-- 3. Financial totals should reconcile
SELECT SUM(outstanding_balance) FROM legacy.customers;
SELECT SUM(outstanding_balance) FROM target.customers;
32
Write a defect report for an invoice that calculates GST incorrectly.
Title: Invoice applies 12 percent GST instead of 18 percent for service items. Environment: UAT, build 2.4.1. Steps: create an order with service item SRV-101 at 1,000 rupees for a customer in Maharashtra and generate the invoice. Expected: CGST 90 and SGST 90, total 1,180. Actual: CGST 60 and SGST 60, total 1,120. Severity: high, as it affects tax compliance. Attachments: invoice PDF and screenshot. Linked requirement: FR-TAX-07.
33
UAT starts tomorrow, but the business has not nominated any testers. What do you do?
Escalate immediately to the business sponsor with the impact: each day without testers delays sign-off and go-live. Ask for named testers with protected time, even part-time. Meanwhile, prepare so no time is lost: finalise test cases, check the environment and data, and plan a short tester briefing. If testers cannot be released, propose re-planning UAT dates rather than letting IT or the BA test on the business's behalf, because acceptance must come from the users.
34
Your AS-IS map of a loan approval process shows 14 handoffs between teams. How do you identify improvements?
First measure each handoff: waiting time, rework rate and volume, using system timestamps where possible. Then classify steps as value-adding, required for compliance or waste. Look for patterns: repeated approvals, information re-entered in two systems, work bouncing back for missing documents. Typical fixes are merging roles, adding a checklist at intake so applications arrive complete, parallelising checks and automating rule-based approvals. Quantify the expected reduction in cycle time for each option.
35
A quick-commerce company wants to expand into Tier-2 cities. What would you analyse before recommending it?
Demand: population density, smartphone and digital payment penetration, average basket size and how often people buy groceries. Supply: dark store rent, rider availability and local sourcing. Unit economics: orders per store per day needed to break even, given lower average order values. Competition: local kirana delivery and other apps. Then propose a pilot in two or three cities with clear success metrics such as orders per day, contribution margin per order and repeat rate before scaling.
A model assessing industry attractiveness through supplier power, buyer power, threat of new entrants, threat of substitutes and rivalry among competitors.
37
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.
38
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.
39
How would you measure the success of a new feature?
Define a goal metric, a baseline and guardrail metrics, run an experiment or before-after comparison and review adoption, retention and revenue impact.
40
What is the profit equation and how do you use it in cases?
Profit = Revenue minus Cost, where revenue = price x volume and cost = fixed + variable. Split each part to find which one explains a change.
Tips to crack the Lenskart Business Analytics interview
For tech roles, practise DSA and backend basics, and be ready to discuss APIs, databases and scaling e-commerce systems.
For analyst roles, revise SQL, Excel and metrics like conversion rate, average order value and store performance.
Understand Lenskart's omnichannel model of online plus offline stores to answer business and product questions with context.
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; Lenskart interviewers usually ask follow-ups on your first answer.
Frequently asked questions
How many rounds are there in the Lenskart Business Analytics interview?
Candidates usually go through 4 stages: Online coding or analytics assessment; Technical round; Case or managerial round; HR 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 Lenskart Business Analytics interview?
This practice set leans on Case Studies and Guesstimates (8), Requirements and Agile (6), Excel for Business Analysts (5), UAT and BA Documentation (5). Revise those first, then practise explaining one or two of your own projects end to end, because most Lenskart interviewers ask you to walk through real work.
Are these the exact questions asked at Lenskart?
No. These are curated practice questions that match the skills and difficulty usually tested in e-commerce & consumer tech interviews like Lenskart's. They are not a leaked or verified list of past questions.
Where does Lenskart hire Business Analytics professionals in India?
Lenskart has large teams in Gurugram, Bengaluru. Openings and locations change often, so check the Lenskart careers page and filter by city and experience.
Business Analytics questions for similar companies