Business Analytics Interview Questions in Thiruvananthapuram
36 practice questions with answers for Business Analytics interviews in Thiruvananthapuram.
Business Analytics jobs in Thiruvananthapuram
Thiruvananthapuram's Technopark is one of India's oldest IT parks, hosting IT-services, product and engineering-services companies. Data and testing teams here often work with global clients in finance, travel and healthcare.
Below are 36 questions that match the mix of service, product and domain employers hiring business analysts in Thiruvananthapuram.
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01
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.
02
How would you improve a company's low app conversion rate?
A process describes what happens end to end to achieve an outcome, across roles, such as customer onboarding. A procedure describes how one part of that process is carried out and who is responsible, such as the KYC verification procedure. A work instruction is the most detailed, step-by-step guide for a single task, often with screenshots, such as how to upload a document in the CRM. BAs usually model processes and reference the other two.
04
Tell me about a time you worked with stakeholders in a different time zone or culture.
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.
05
What sections does a good software requirements specification (SRS) contain?
A typical SRS includes purpose, scope and definitions; overall description with users, operating environment, assumptions and constraints; functional requirements, each with a unique ID, description, priority and acceptance criteria; external interface requirements for UI, APIs and integrations; non-functional requirements such as performance, security, availability and compliance; data requirements; and appendices with diagrams and a traceability reference. Each requirement should be clear, testable and traceable to a business need.
06
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.
Check market size (population, online ordering share), competition, restaurant supply, unit economics per order, CAC and payback period. Propose a pilot with clear success metrics.
08
Describe a time your analysis found a cost-saving opportunity.
Situation: monthly cloud and software subscription costs had grown 35 percent in a year without anyone tracking why. Task: my manager asked me to review them. Action: I combined invoices with user login data in Excel and found 140 licences unused for over 90 days and two tools doing the same job. Result: we cancelled unused licences and consolidated tools, saving about 18 lakh rupees a year, and I set up a quarterly licence review report.
09
How do you build a PivotTable to analyse sales by region and product?
Definition of Ready is a checklist a story must meet before the team pulls it into a sprint: clear description, acceptance criteria, dependencies identified, designs attached and estimated. Definition of Done is the checklist for calling work complete: coded, reviewed, tested, acceptance criteria passed, documented and deployable. The BA mostly drives readiness, while the whole team owns done. Both reduce rework and arguments at sprint end.
DAU, WAU and MAU count unique users active in a day, week and month, where 'active' must be clearly defined, such as completing a core action. The stickiness ratio is DAU divided by MAU and shows how often monthly users return. A ratio of 0.5 means the average monthly user is active about 15 days a month. Daily-use products like messaging aim high, while a travel app naturally has low stickiness.
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
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.
16
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 self join joins a table to itself using two aliases, so you can compare rows within the same table. A classic business example is an employees table with a manager_id column: joining employees e to employees m on e.manager_id = m.employee_id lists each employee with their manager's name. Another example is finding customers who placed two orders on the same day by joining orders to orders on customer_id and date with different order IDs.
18
What is the difference between ROW_NUMBER, RANK and DENSE_RANK?
All three number rows within a window ordered by a column. ROW_NUMBER gives a unique sequence 1, 2, 3 even for ties. RANK gives ties the same number and then skips, so 1, 1, 3. DENSE_RANK gives ties the same number without gaps, so 1, 1, 2. Use ROW_NUMBER to pick exactly one row per group, such as the latest order, and DENSE_RANK for 'top 3 distinct salary levels' type questions.
19
Write Tableau calculated fields for profit ratio and a flag for loss-making orders.
// Profit Ratio (aggregate so it works at any level)
SUM([Profit]) / SUM([Sales])
// Loss Flag (row level)
IF [Profit] < 0 THEN "Loss" ELSE "Profit" END
// Put Loss Flag on Color to highlight loss-making orders
20
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.
21
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;
22
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.
Map the steps first: which files arrive, what cleaning is done and which outputs are needed. Move the import and cleaning into Power Query so a refresh replaces copy-paste. Base calculations on Excel Tables and PivotTables that update automatically, and keep a fixed template for the output. Use a small macro or Office Script only for the remaining formatting or emailing. Add checks such as row counts and totals so errors surface quickly.
25
What is row-level security in Power BI and how do you set it up?
Row-level security restricts which rows a user can see in the same report. In Desktop you create roles under Manage Roles with a DAX filter, such as 'Region'[Manager Email] = USERPRINCIPALNAME() for dynamic RLS. You test with View as Role, publish, and then map users or groups to roles in the Service. Dynamic RLS with a mapping table scales better than creating one static role per region.
26
Write an Excel formula for the weighted average selling price across orders.
// B2:B200 = price per unit, C2:C200 = units sold
=SUMPRODUCT(B2:B200, C2:C200) / SUM(C2:C200)
// a simple AVERAGE(B2:B200) would wrongly give a small order
// the same weight as a large one
27
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.
SELECT region,
SUM(CASE WHEN EXTRACT(QUARTER FROM order_date) = 1 THEN amount ELSE 0 END) AS q1,
SUM(CASE WHEN EXTRACT(QUARTER FROM order_date) = 2 THEN amount ELSE 0 END) AS q2,
SUM(CASE WHEN EXTRACT(QUARTER FROM order_date) = 3 THEN amount ELSE 0 END) AS q3,
SUM(CASE WHEN EXTRACT(QUARTER FROM order_date) = 4 THEN amount ELSE 0 END) AS q4
FROM orders
WHERE EXTRACT(YEAR FROM order_date) = 2026
GROUP BY region;
31
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.
32
Tell me about a time UAT revealed a major issue that earlier testing missed.
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.
33
Write a SQL query to find the second-highest salary in an employees table.
SELECT MAX(salary) AS second_highest
FROM employees
WHERE salary < (SELECT MAX(salary) FROM employees);
-- or with a window function
SELECT DISTINCT salary FROM (
SELECT salary, DENSE_RANK() OVER (ORDER BY salary DESC) AS rk
FROM employees
) t WHERE rk = 2;
34
A food delivery company's orders fell 15%. How do you investigate?
Check data accuracy, then segment by city, restaurant, time and user type; look at supply, delivery time, pricing, competitors and seasonality before proposing fixes.
35
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.
The time value of money means a rupee today is worth more than a rupee in the future, because today's rupee can be invested to earn a return and future money carries inflation and risk. Future cash is converted to present value using PV = FV / (1 + r)^n. At a 10 percent discount rate, 1,10,000 rupees received after one year is worth 1,00,000 rupees today. It is the basis of NPV, IRR, loan EMIs and valuation.
Which companies hire Business Analytics professionals in Thiruvananthapuram?
Companies with large offices in Thiruvananthapuram include UST, Tata Elxsi, Quest Global. Use their company pages below to practise employer-specific sets.
Are Business Analytics interviews in Thiruvananthapuram different from other cities?
The questions depend more on the company than the city. Thiruvananthapuram's mix of employers decides the style: Data and testing teams here often work with global clients in finance, travel and healthcare
How do I find Business Analytics jobs in Thiruvananthapuram?
Shortlist companies with Thiruvananthapuram offices, keep your CV focused on Business Analytics projects, apply on company career pages and job portals with the Thiruvananthapuram filter, and practise the questions on this page before each interview.