Samsung Business Analytics Interview Questions & Answers
Curated interview practice questions with answers. These are practice scenarios, not a verified list of past interview questions.
About Samsung hiring for Business Analytics roles
Samsung Electronics makes smartphones, consumer electronics, semiconductors and home appliances. Its India R&D institutes in Bengaluru, Noida and Delhi work on mobile software, AI, camera, connectivity and data. It hires for software engineers, test engineers and data professionals, with campus hiring known for coding-focused tests.
For Business Analytics roles, this Samsung practice set focuses most on Product Analytics (6), Requirements and Agile (5), Business Metrics and KPIs (5), Stakeholder Communication (4). It has 3 easy, 30 medium, 7 hard questions, so you can start easy and work up to the harder ones.
Company type
Hardware & semiconductors
Headquarters
Suwon, South Korea
Main India offices
Bengaluru, Noida, Delhi
Samsung Business Analytics interview process
Online coding test (Samsung competency test)
Technical interview 1
Technical interview 2
HR round
Typical pattern based on public candidate experiences. Rounds vary by role, team and year.
Solved for SamsungStart practicing
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01
Write a DAX measure for the product return rate that avoids divide-by-zero errors.
Return Rate % =
VAR ReturnedQty = SUM ( Returns[Quantity] )
VAR SoldQty = SUM ( Sales[Quantity] )
RETURN
DIVIDE ( ReturnedQty, SoldQty, 0 )
// DIVIDE returns the third argument (0) when SoldQty is zero or blank.
// Format the measure as a percentage in the model.
02
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;
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.
04
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.
A UAT test plan defines how acceptance testing will be run. It covers scope and out-of-scope items, business processes to be tested, entry and exit criteria, roles such as testers, UAT lead and sign-off authority, test environment and test data, schedule and cycles, defect management process with severity definitions, communication and reporting, and risks. The BA usually drafts it with business owners so testers know exactly what they are accepting and when.
07
Describe a time you had to present disappointing numbers to leadership.
Situation: a new city launch was 30 percent below its order target after two months. Task: present the review to the leadership team. Action: I opened with the number directly, then broke the gap into traffic, conversion and repeat rate, showing repeat rate was the main problem. I came with three options with estimated impact and cost. Result: leadership approved a focused retention campaign instead of more ad spend, and repeat rate rose over the next quarter.
08
What is Net Promoter Score (NPS) and what are its limitations?
NPS asks customers how likely they are to recommend you on a 0 to 10 scale. Scores of 9 to 10 are promoters, 7 to 8 passives and 0 to 6 detractors. NPS equals percent promoters minus percent detractors, ranging from minus 100 to plus 100. Limitations: it is one question, sensitive to survey timing and sample bias, and does not explain why. Pair it with open-text reasons and behavioural metrics like retention.
09
How would you estimate the market size for an electric scooter in India?
A model classifying features as basic, performance or delight attributes based on how they affect customer satisfaction, helping decide what to build first.
15
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.
16
Write a SQL query to show cumulative revenue by month.
WITH monthly AS (
SELECT DATE_TRUNC('month', order_date) AS month,
SUM(amount) AS revenue
FROM orders
GROUP BY 1
)
SELECT month, revenue,
SUM(revenue) OVER (ORDER BY month) AS cumulative_revenue
FROM monthly
ORDER BY month;
-- add PARTITION BY EXTRACT(YEAR FROM month) to reset each year
17
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;
18
Your A/B test was meant to split traffic 50/50, but the actual split is 52/48 on 200,000 users. What do you do?
This is a sample ratio mismatch. With 200,000 users, a 52/48 split is far outside random chance, which a chi-square test will confirm. It means the assignment or logging is broken, for example the variant page crashing before the tracking event fires, bots filtered unevenly or a redirect losing users. Do not trust the results. Investigate by segment, platform and day to find the cause, fix it and rerun the test.
19
Your analysis contradicts a strongly held belief of the vice president. How do you handle it?
Double-check the data and method first, and ask a peer to review it. Then share it privately with the VP before any group meeting, so they are not surprised in public. Present it neutrally: what we expected, what the data shows, and possible reasons. Invite their context, as they may know factors you missed. Suggest a small test to settle it. Focus on the decision, not on being right.
20
The scheduled refresh failed overnight and leadership reviews the dashboard at 10 am. What do you do?
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.
21
A stakeholder keeps skipping review meetings and then rejects the deliverable at the end. How do you prevent this?
Talk to them one-to-one to understand why they skip, such as timing, relevance or workload. Offer shorter reviews, asynchronous reviews with a clear deadline, or a delegate with decision rights. Record sign-offs at each stage in writing so late changes become formal change requests. Share early drafts and mock-ups, because people react better to something visible. Escalate to the sponsor if the pattern risks the timeline.
22
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;
23
Write a DAX measure to count distinct active customers in the last 30 days.
Active Customers 30D =
CALCULATE(
DISTINCTCOUNT(Sales[CustomerID]),
DATESINPERIOD('Date'[Date], MAX('Date'[Date]), -30, DAY)
)
-- MAX('Date'[Date]) makes it relative to the date in the current filter
24
Vendor A has a lower licence price, but Vendor B has lower running costs. How do you compare them?
Compare total cost of ownership over the same period, usually 3 to 5 years. Include licence or subscription fees, implementation, data migration, integration, training, internal staff time, infrastructure, support and upgrade costs, and exit costs. Discount the yearly totals to present value if the timing differs. Then weigh the result against non-cost factors such as fit to requirements, scalability and vendor stability. Often the cheaper licence ends up costlier once customisation and support are added.
25
What is root cause analysis and which techniques do you know?
It breaks a top metric into drivers: Revenue = Users × Conversion × AOV; Users = New + Returning, and so on. It shows which lever to pull and where a drop came from.
27
Revenue grew 20 percent this quarter but the number of active customers stayed flat. How do you interpret it?
Growth came from more value per customer, not more customers. Break revenue into customers times orders per customer times average order value to see which moved. It could be price increases, larger baskets, a shift to premium products or a few large accounts. Then check risks: is new customer acquisition stalling, is churn being masked, and is growth concentrated in a small segment that could leave?
28
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.
Costs: software 12 lakh in year 1 plus 3 lakh per year support, and 4 lakh for implementation and training. Benefits: 60,000 invoices a year at 10 minutes saved each is 10,000 hours; at 400 rupees per hour that is 40 lakh, plus around 5 lakh from fewer late-payment penalties. Year-1 net benefit is 45 - 16 = 29 lakh and payback is under six months. Then test sensitivity, for example if only half the time saving is realised.
Situation: the team planned to add more filters to the search page to fix low conversion. Task: I was asked to size the opportunity. Action: funnel analysis showed most drop-off happened after users opened a product page with no delivery date shown, not in search. I shared the data with session recordings. Result: the team prioritised showing delivery dates on the product page, conversion rose about 8 percent, and the filter work was deprioritised.
33
Daily active users dropped 10 percent week over week. How do you investigate?
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.
34
Tell me about a time you discovered a missed requirement late in a project.
Situation: two weeks before go-live of a billing system, a finance user asked how GST credit notes would work, which we had not covered. Task: assess and recover. Action: I analysed the impact with developers, found a simple configuration path for most cases plus a manual step for rare ones, and presented both options with dates to the sponsor. Result: we went live on time with a documented workaround and delivered the full fix next sprint.
35
How would you build a simple financial model in Excel?
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.
37
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.
38
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.
39
What is a swimlane diagram and how is it different from a simple flowchart?
A simple flowchart shows the sequence of steps and decisions but not who performs them. A swimlane diagram divides the chart into horizontal or vertical lanes, one per role, team or system, and places each step in the lane of its owner. This makes handoffs visible, because every arrow crossing a lane boundary is a handoff where delays, errors and unclear ownership often occur. BPMN lanes are a standardised form of swimlanes.
40
Write an Excel formula for a two-way lookup that finds sales for a given product and month.
// products in A2:A50, months in B1:M1, data in B2:M50
// G1 = product, G2 = month
=INDEX(B2:M50, MATCH(G1, A2:A50, 0), MATCH(G2, B1:M1, 0))
// Excel 365 alternative
=XLOOKUP(G1, A2:A50, XLOOKUP(G2, B1:M1, B2:M50))
Tips to crack the Samsung Business Analytics interview
Practise Samsung-style coding problems based on BFS, DFS, backtracking and simulation without using built-in libraries.
Revise C, C++ or Java fundamentals deeply along with operating systems and data structures.
Read about Samsung R&D work in India on Galaxy devices, One UI and on-device AI.
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; Samsung interviewers usually ask follow-ups on your first answer.
Frequently asked questions
How many rounds are there in the Samsung Business Analytics interview?
Candidates usually go through 4 stages: Online coding test (Samsung competency test); Technical interview 1; Technical interview 2; 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 Samsung Business Analytics interview?
This practice set leans on Product Analytics (6), Requirements and Agile (5), Business Metrics and KPIs (5), Stakeholder Communication (4). Revise those first, then practise explaining one or two of your own projects end to end, because most Samsung interviewers ask you to walk through real work.
Are these the exact questions asked at Samsung?
No. These are curated practice questions that match the skills and difficulty usually tested in hardware & semiconductors interviews like Samsung's. They are not a leaked or verified list of past questions.
Where does Samsung hire Business Analytics professionals in India?
Samsung has large teams in Bengaluru, Noida, Delhi. Openings and locations change often, so check the Samsung careers page and filter by city and experience.
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