Zomato Business Analytics Interview Questions & Answers

CAGR = (End value / Start value)^(1/years) - 1, entered as =(B2/A2)^(1/n)-1.

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

A short requirement written as 'As a user, I want X so that Y', backed by acceptance criteria. Good stories follow INVEST: independent, negotiable, valuable, estimable, small and testable.

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

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

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

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

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;

Waterfall runs fixed phases one after another with requirements frozen early. Agile delivers in short sprints with continuous feedback, so requirements can change. In Agile, BAs maintain the backlog and user stories.

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

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.

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.

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

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.

A table assigning Responsible, Accountable, Consulted and Informed roles per task so ownership is clear.

The product backlog is the ordered list of all desired work; the sprint backlog is the subset the team commits to in the current sprint.

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).

About 20 million people, roughly 10% order pizza on a weekend, about 1 pizza per 2 people in an order. This gives roughly 1 million pizzas, adjusted for outlets and delivery capacity.

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

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

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.

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

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

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

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.

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

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

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.

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.

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

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

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

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

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

A query nested inside another, used for filtering or calculating values such as customers whose spend is above the average.

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

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

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

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.

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

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

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

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

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

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

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.

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

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.

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

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

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.

Excel suits small to medium data and quick ad-hoc work; SQL queries large databases directly and repeatably.

Agile delivers value in small increments with feedback. Scrum organises work in sprints with planning, daily stand-ups, review and retrospective, led by a Scrum Master and Product Owner.

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

Identifying everyone affected by the project and mapping their influence and interest to decide how to communicate with and involve each group.

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

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

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

Functions that summarise rows into a value, such as COUNT, SUM, AVG, MIN and MAX.

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

A measurable value showing progress to a goal, such as conversion rate, average order value, cart abandonment rate and customer retention.

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

Compare the current state (as-is) with the desired state (to-be), list the gaps in process, people or technology, and plan actions to close them.

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

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

Use MoSCoW (Must, Should, Could, Won't), value versus effort scoring or the Kano model, agreed with stakeholders based on business value and risk.

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

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

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.

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

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

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

A language for querying databases. BAs use it to pull data themselves, validate numbers, check reports and answer questions without waiting for engineers.