Business Analytics Interview Questions for Experienced Professionals (₹10–12 LPA)

Get distinct user-month pairs, self-join or use LAG on month per user, and keep rows where the previous month is exactly one month earlier.

A named temporary result introduced with WITH that makes long queries readable and reusable in the same statement.

Clarify the goal behind each request, map them to business objectives, prioritise with MoSCoW, run a joint session, then document the decision and get sign-off.

VLOOKUP or XLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, IF, text functions, PivotTables and charts.

Number of outlets x daily customers x average bill x operating days, then validate using footfall, peak hours and similar chains.

Strengths and Weaknesses are internal; Opportunities and Threats are external. Example: S = strong faculty, W = low brand awareness, O = AI upskilling demand, T = free online content.

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

COUNT(*) counts all rows; COUNT(column) counts only rows where that column is not NULL.

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.

Assess market size and demand, customer need, competition, unit economics, capabilities, risks and strategic fit, then test with a pilot before scale-up.

Functional requirements describe what the system does (login, reports); non-functional ones describe how well it does it (speed, security, availability, usability).

It returns a custom value when a formula errors out, keeping reports clean, for example =IFERROR(VLOOKUP(...), "Not found").

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.

Map the funnel, find the biggest drop-off, check usability and load time, run A/B tests on fixes and track conversion lift.

Prepare clean data, build PivotTables and PivotCharts, add KPI cards and slicers, and arrange everything on one sheet with a clear layout.

A model assessing industry attractiveness through supplier power, buyer power, threat of new entrants, threat of substitutes and rivalry among competitors.

A diagram of steps, decisions and owners in a process, made using BPMN or flowcharts in tools like Visio, Lucidchart or draw.io.

A what-if tool that recalculates a formula for different inputs, for example loan payments across different rates and tenures.

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.

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.

Break-even units = Fixed costs ÷ (Price − Variable cost per unit). Add a data table to test different price and volume scenarios.

Anyone affected by or influencing the project: sponsors, product owners, end users, developers, testers, operations and customers.

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.

Testing how changes in key inputs such as price or volume affect the output, in Excel using data tables or scenario manager.

An Excel add-in for building data models with relationships and DAX measures over millions of rows, beyond normal worksheet limits.

The total profit expected from a customer over the relationship, roughly average margin x purchase frequency x lifespan, compared with acquisition cost.

Top-down: two-wheeler market x EV share x addressable segment. Bottom-up: target households x adoption rate x price. Compare both for a sanity check.

Use STAR: Situation, Task, Action, Result. Show that you listened, found the underlying goal, used data to align people and reached a documented decision.

Log the change, assess impact on scope, cost and timeline, get approval through change control or backlog grooming, and update documents and stakeholders.

Clear, testable conditions a story must meet to be accepted, often written as Given-When-Then scenarios.

A BRD states what the business needs and why. An FRD details how the system should behave to meet those needs (functional specifications).

Interviews, workshops, surveys, observation, document analysis, prototyping and brainstorming, chosen according to stakeholders and project stage.

Fixed costs stay constant regardless of volume, such as rent; variable costs change with volume, such as raw materials.

GROUP BY aggregates rows by column; WHERE filters before grouping and HAVING filters after, using aggregate conditions.

Decide whether and how to enter a market by evaluating attractiveness, competition, capabilities and entry mode (build, buy, partner), then risks and next steps.

Create a table, insert a PivotTable, drag region to rows, product to columns, sales to values, and add slicers for month or channel.

Aggregate revenue per month and use LAG(revenue) OVER (ORDER BY month) to compute (revenue - previous) / previous.

Pareto principle: about 80% of outcomes come from 20% of causes, such as most revenue from a few customers or most defects from a few issues.

INNER returns only matching rows; LEFT returns all rows from the left table and NULLs where there is no match.

A UML diagram showing actors and the actions (use cases) they perform with the system, giving a quick view of scope.

SUM(sales) per category divided by SUM(SUM(sales)) OVER () and multiplied by 100 gives each category's share of the total.

Both look up values flexibly; XLOOKUP is simpler with built-in not-found handling, while INDEX-MATCH works in older Excel versions.

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.

Break sales into footfall, conversion and average basket, compare with last year and competitors, and check stock, pricing, staffing and local events.

Use FORECAST.ETS or a trendline on monthly history, check seasonality, compare with a simple moving average and present a range, not a single number.

The sales volume where total revenue equals total cost. It equals fixed cost divided by contribution margin per unit.

WITH m AS (SELECT month, SUM(amount) AS rev FROM orders GROUP BY month) SELECT month, rev, ROUND(100.0 * (rev - LAG(rev) OVER (ORDER BY month)) / LAG(rev) OVER (ORDER BY month), 1) AS mom_pct FROM m;

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.

A model classifying features as basic, performance or delight attributes based on how they affect customer satisfaction, helping decide what to build first.

Define named scenarios such as best, base and worst with different input values and compare the outputs in a summary report.

Goal Seek (find the input for a target output), Data Tables (see outputs for many inputs) and Scenario Manager (save best, base and worst cases).

A framework listing internal Strengths and Weaknesses and external Opportunities and Threats to assess a project or business position.

Variance = Actual - Budget, shown as amount and percentage, with conditional formatting to flag large gaps and comments on the drivers.

AVG ignores NULLs; use COALESCE(col, 0) if NULLs should count as zero, depending on the business meaning.

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.

Use historical data with FORECAST.ETS or trend lines, state assumptions, compare against actuals and show best, base and worst scenarios.

Revenue is total money from sales; profit is what remains after subtracting all costs and expenses.

XLOOKUP can look left or right, uses exact match by default, returns a custom value if nothing is found and doesn't break when columns move. VLOOKUP only looks right and needs a column number.