Business Analytics Interview Questions for Senior Specialists (₹15–20 LPA)

A column or set of columns that uniquely identifies each row in a table and cannot contain NULL.

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

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

Use tables, Power Query, remove volatile functions, filter before calculating and move to Power Pivot or a database when rows reach the millions.

Structure it: households × car-owning share ÷ replacement cycle + first-time buyers + commercial fleet. State each assumption clearly and sanity-check the final number.

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

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

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.

Finding the underlying reason for a problem using the 5 Whys, fishbone diagrams or Pareto analysis, then fixing the cause not the symptom.

Combine cost-plus, competitor benchmarks and willingness to pay from research, test tiers with experiments and check margin and churn impact.

Clarify the scope, break the problem into logical parts, state assumptions with round numbers, compute step by step and sanity-check the answer.

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

Stakeholders and the sponsor review the Business Requirements Document for completeness and accuracy, and the business owner gives formal sign-off before design begins.

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;

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

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.

A chart shows one view of data; a dashboard combines several charts and KPIs on one page for monitoring.

ROI = (incremental profit - campaign cost) / campaign cost. Measure incremental sales using a control group or before-after comparison.

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

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

Every KPI is a metric, but a KPI is tied directly to a strategic goal (e.g. monthly churn). A metric can be any measurement (e.g. page views).

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.

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

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

Check data accuracy, then segment by city, restaurant, time and user type; look at supply, delivery time, pricing, competitors and seasonality before proposing fixes.

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

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

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).

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

A table linking each requirement to design, test cases and delivery status, ensuring nothing is missed and helping assess change impact.

Check row counts against the source, nulls, duplicates on keys, value ranges, date coverage and that totals reconcile with finance reports.

A BA bridges business and technology: gathers requirements, analyses data and processes, documents BRD/FRD and makes sure the final solution actually solves the business problem.

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.

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.

Product, Price, Place and Promotion, the levers a business uses to bring an offering to market.

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

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.

Review > Protect Sheet or Workbook with a password, lock cells, hide formulas and allow only selected cells to be edited.

An early assessment of whether a proposed solution is technically, economically, operationally and legally viable before committing budget.

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

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

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).

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

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

Define a goal metric, a baseline and guardrail metrics, run an experiment or before-after comparison and review adoption, retention and revenue impact.

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

Create a line or column chart of actuals and add the target as another series formatted as a line.

Reconcile totals with source tables using SQL, check filters and joins for duplication, compare with prior periods and verify with business owners.

They help the Product Owner refine the backlog, write stories and acceptance criteria, clarify details with developers and support testing and demos.

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

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.

OLTP handles many small day-to-day transactions; OLAP supports analysis over large historical data with aggregates and reporting.

Uncontrolled growth of requirements. Control it with a clear scope statement, change control process, impact analysis and sponsor approval for additions.