InMobi Business Analytics Interview Questions & Answers
Curated interview practice questions with answers. These are practice scenarios, not a verified list of past interview questions.
About InMobi hiring for Business Analytics roles
InMobi is a Bengaluru-based technology company known for its mobile advertising and marketing technology platforms. It helps advertisers reach users across apps and devices using data and machine learning, and its group also built the Glance content platform for smartphone lock screens. It hires software engineers, data scientists, data engineers and product managers for large-scale adtech systems.
For Business Analytics roles, this InMobi practice set focuses most on Requirements and Agile (7), Financial and Business Analysis (6), Product Analytics (5), Process Modelling and BPMN (4). It has 2 easy, 31 medium, 7 hard questions, so you can start easy and work up to the harder ones.
Company type
Product
Headquarters
Bengaluru, India
Main India offices
Bengaluru
InMobi Business Analytics interview process
Online coding assessment
Technical round 1 (DSA)
Technical round 2 (system design)
Hiring manager round
HR round
Typical pattern based on public candidate experiences. Rounds vary by role, team and year.
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01
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.
02
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;
03
What is user activation and what is an 'aha moment'?
Activation is the point at which a new user first experiences the product's core value, such as completing a first lesson, sending a first payment or creating a first project. The aha moment is the specific early action that strongly predicts long-term retention, found by comparing retained and churned users. Teams then design onboarding to get more new users to that action quickly and track the activation rate.
Tell the sponsor and key stakeholders as soon as you are confident, not on the deadline. Be direct about the delay, the cause and the impact. Come with options, such as reducing scope to hit the date, adding resources, or moving the date with a phased release, plus your recommendation. Agree on the new plan, update the communication plan and track the recovery visibly.
A data object (page shape with a folded corner) represents information that an activity needs or produces during one process instance, such as an invoice or an application form. It is linked with dotted associations. A data store (cylinder) represents information that persists beyond the process instance, such as the customer database or ERP. Showing them helps developers see which systems are read or updated at each step and helps spot missing integrations.
08
Stakeholders give conflicting requirements. What do you do?
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 model assessing industry attractiveness through supplier power, buyer power, threat of new entrants, threat of substitutes and rivalry among competitors.
10
What is process mining and how does it help a business analyst?
Process mining uses event logs from systems such as ERP or CRM, each record holding a case ID, activity name and timestamp, to automatically rebuild how a process really runs. It shows actual paths, rework loops, bottlenecks and how often cases deviate from the designed flow. For a BA it replaces opinion-based AS-IS workshops with evidence, for example showing that 22 percent of purchase orders are changed after approval. Data quality of the logs is the main limitation.
11
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.
12
Five departments each build their own Power BI reports with different revenue numbers. How would you design a better BI setup?
Create a shared, certified semantic model with one definition per KPI, built on a governed warehouse layer. Departments build thin reports on top of it through live connection instead of copying data. Set up workspaces by environment (dev, test, prod), deployment pipelines, naming standards, a KPI glossary and owners for each measure. Keep a small central team for the core model and let departments self-serve on top, which balances control and speed.
Log the change, assess impact on scope, cost and timeline, get approval through change control or backlog grooming, and update documents and stakeholders.
14
Guesstimate: what is the annual revenue of one multiplex screen in a large Indian city?
Assume 5 shows a day and 200 seats with 30 percent average occupancy, giving 300 tickets a day. At an average ticket of 250 rupees, ticket revenue is 75,000 rupees a day. Food and beverage adds about 40 percent of ticket revenue, around 30,000, and screen ads maybe 5,000. That is about 1.1 lakh a day, or around 4 crore a year. Weekends and blockbuster releases push occupancy higher.
Guardrail metrics are measures that must not get worse while you try to improve the primary metric. For a test aimed at increasing conversion, guardrails might be refund rate, page load time, unsubscribe rate and customer support tickets. If the primary metric improves but a guardrail drops significantly, the change is not shipped as is. They protect long-term health from short-term optimisation.
16
What is the answer-first or pyramid principle approach to presenting analysis?
Start with the main conclusion or recommendation, then give the two or three supporting reasons, and only then the detailed data. Senior stakeholders have little time, so a summary like 'Churn rose because of payment failures; fixing retries can save 4 lakh a month' should come first. Detail goes in the appendix. It is the opposite of a chronological walk through every step of the analysis.
17
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.
18
How would you improve a company's low app conversion rate?
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.
20
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.
21
Tell me about a time a SQL query you wrote gave wrong results. How did you catch it?
Situation: my weekly sales report showed a 12 percent jump that no one could explain. Task: verify the number before it reached leadership. Action: I compared row counts before and after each join and found a new promotions table had multiple rows per order, duplicating revenue. I aggregated promotions per order first and added a test comparing totals with the source. Result: the corrected report went out the same day, and I now check grain on every new join.
22
Prepare a simple cost-benefit analysis for automating invoice processing.
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.
23
What techniques do you use to elicit requirements?
-- late = delivered after the promised date
SELECT
city,
COUNT(*) AS total_orders,
SUM(CASE WHEN delivered_at > promised_at THEN 1 ELSE 0 END) AS late_orders,
ROUND(100.0 * SUM(CASE WHEN delivered_at > promised_at THEN 1 ELSE 0 END)
/ COUNT(*), 2) AS late_pct
FROM orders
WHERE status = 'DELIVERED'
GROUP BY city
ORDER BY late_pct DESC;
ROI (return on investment) is the gain from a specific investment divided by its cost and is used to judge projects or campaigns. ROE (return on equity) is net profit divided by shareholders' equity and shows the return to owners; high debt can inflate it. ROCE (return on capital employed) is EBIT divided by equity plus long-term debt and shows how efficiently all long-term capital is used. ROCE is better for comparing companies with different debt levels.
26
How do you calculate monthly revenue growth in SQL?
# B1 = discount rate (for example 12%)
# B2 = initial investment entered as a negative number
# B3:B7 = cash inflows for years 1 to 5
=NPV(B1, B3:B7) + B2
# NPV() assumes the first value comes at the end of year 1,
# so the year-0 investment is added outside the function.
30
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.
31
An order has a value of 600 rupees, product cost 360, delivery 60, payment fee 12 and a discount of 50. What is the contribution margin?
Net revenue after discount is 600 minus 50, which is 550 rupees. Variable costs are 360 plus 60 plus 12, totalling 432. Contribution margin is 550 minus 432, so 118 rupees per order, or about 21 percent of net revenue. This is what each order contributes towards fixed costs such as salaries and rent. If the discount were raised to 150, the order would contribute only 18 rupees.
32
You must gather requirements to replace a 15-year-old legacy system with no documentation. How do you approach it?
Combine several sources. Interview and observe users doing real tasks, and review screens, reports and outputs to infer business rules. Analyse the database and logs to see which data and functions are actually used. Work with long-serving staff and IT support for hidden rules and workarounds. Build AS-IS process maps, decide what to keep, drop or improve, and validate the findings with users. Plan data migration requirements early.
33
A feature was launched to all users at once without an A/B test. How would you measure its impact?
Use quasi-experimental methods. Compare before and after with enough history to account for trend and seasonality. If it rolled out at different times in regions or platforms, use difference-in-differences between early and late groups. Compare users who adopted with similar non-adopters using matching, while being careful about self-selection. For future launches, recommend keeping a small holdout group so impact can be measured cleanly.
Power Query is the data preparation engine inside Power BI and Excel. It connects to sources like Excel, CSV, SQL databases and web APIs, then lets you clean and shape data with recorded steps: remove columns, change types, split, merge, unpivot, append and group. Each step is written in the M language and replays on every refresh, so a monthly cleanup job becomes repeatable instead of manual.
DMN (Decision Model and Notation) is an OMG standard for modelling business decisions, mainly through decision tables that list input conditions, outputs and a hit policy. BPMN shows the flow of work, while DMN holds the decision logic. Instead of drawing ten nested gateways for loan eligibility, you place one business rule task in BPMN that calls a DMN table. This keeps diagrams clean and lets business users change rules without redrawing the process.
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.
38
UAT starts tomorrow, but the business has not nominated any testers. What do you do?
Escalate immediately to the business sponsor with the impact: each day without testers delays sign-off and go-live. Ask for named testers with protected time, even part-time. Meanwhile, prepare so no time is lost: finalise test cases, check the environment and data, and plan a short tester briefing. If testers cannot be released, propose re-planning UAT dates rather than letting IT or the BA test on the business's behalf, because acceptance must come from the users.
39
How would you analyse the declining sales of a retail store?
Restructure it into levels. Create a high-level map with 7 to 10 main steps, then collapse detailed parts into sub-processes with their own diagrams. Move complex decision logic into a decision table rather than chains of gateways. Show the happy path first and handle exceptions in separate views. Use consistent naming in verb-noun form and remove duplicated steps. Finally, test readability by asking a stakeholder to explain the diagram back to you.
Tips to crack the InMobi Business Analytics interview
Practise DSA problems along with concepts of high-throughput systems, caching and low-latency design used in advertising platforms.
For data roles, revise SQL, statistics and machine learning basics like click-through rate prediction and model evaluation metrics.
Read about how mobile advertising works, including ad auctions and targeting, to discuss the business side confidently.
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; InMobi interviewers usually ask follow-ups on your first answer.
Frequently asked questions
How many rounds are there in the InMobi Business Analytics interview?
Candidates usually go through 5 stages: Online coding assessment; Technical round 1 (DSA); Technical round 2 (system design); Hiring manager round; 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 InMobi Business Analytics interview?
This practice set leans on Requirements and Agile (7), Financial and Business Analysis (6), Product Analytics (5), Process Modelling and BPMN (4). Revise those first, then practise explaining one or two of your own projects end to end, because most InMobi interviewers ask you to walk through real work.
Are these the exact questions asked at InMobi?
No. These are curated practice questions that match the skills and difficulty usually tested in product interviews like InMobi's. They are not a leaked or verified list of past questions.
Where does InMobi hire Business Analytics professionals in India?
InMobi has large teams in Bengaluru. Openings and locations change often, so check the InMobi careers page and filter by city and experience.
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