Affine Business Analytics Interview Questions & Answers
Curated interview practice questions with answers. These are practice scenarios, not a verified list of past interview questions.
About Affine hiring for Business Analytics roles
Affine is a Bengaluru-based analytics and AI consulting company that helps businesses in gaming, media, retail, consumer goods and technology use data science for decisions. Its teams build predictive models, marketing analytics, pricing solutions and data engineering pipelines. It hires business analysts, data scientists, data engineers and analytics consultants who combine technical skills with business understanding.
For Business Analytics roles, this Affine practice set focuses most on Case Studies and Guesstimates (6), Product Analytics (5), Power BI and Tableau (5), Business Metrics and KPIs (4). It has 2 easy, 32 medium, 6 hard questions, so you can start easy and work up to the harder ones.
Company type
Analytics
Headquarters
Bengaluru, India
Main India offices
Bengaluru
Affine Business Analytics interview process
Online assessment (aptitude + SQL + statistics)
Technical interview
Case study round
HR round
Typical pattern based on public candidate experiences. Rounds vary by role, team and year.
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01
What does the LTV to CAC ratio tell you and what is a healthy value?
LTV to CAC compares the lifetime gross profit from a customer with the cost of acquiring them. A ratio around 3 to 1 is commonly treated as healthy. Below 1 means you lose money on every customer. Far above 5 may mean you are underinvesting in growth. Always compute LTV on gross margin, not revenue, and check it by channel, because blended averages hide loss-making channels.
02
A new TO-BE process went live three months ago. How do you prove that the improvement actually worked?
Compare against the baseline you measured before the change, using the same definitions: cycle time, first-time-right rate, cost per case, backlog and customer complaints. Pull data from system timestamps rather than surveys. Check that the gain is not explained by lower volumes or seasonality, ideally by comparing similar periods. Also check for side effects, such as faster processing but more rework downstream. Present the before-and-after with the business owner, and note where adoption is still incomplete.
03
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.
04
How would you forecast next quarter's sales in Excel?
A tracking plan is a document listing every event the product should log, such as 'checkout_started', with its trigger, properties like price, plan or source, naming rules and owner. It keeps data consistent across web, Android and iOS, prevents duplicate or vague events and makes analysis trustworthy. Without one, teams end up with events like 'click1' and 'buttonClick' meaning the same thing, and analysis becomes guesswork.
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;
Working capital is current assets minus current liabilities, mainly receivables plus inventory minus payables. It is the money tied up in running daily operations. Too little means the company may struggle to pay suppliers and salaries; too much means cash is locked in slow inventory or unpaid customer invoices. Analysts track it because a growing business often needs more working capital, so fast growth can create cash shortages even when the business is profitable.
Start from the questions to answer: how many users discover it, use it and later buy saved items. Define events such as save_clicked, saved_item_viewed, saved_item_removed and saved_item_purchased, with properties like product ID, price, source screen and platform. Follow the existing naming convention, assign owners, review with developers, and test events in a staging build. Build the dashboard before launch so data is checked on day one.
13
Write a SQL query to calculate the repeat purchase rate.
WITH per_customer AS (
SELECT customer_id, COUNT(DISTINCT order_id) AS orders
FROM orders
GROUP BY customer_id
)
SELECT
ROUND(100.0 * SUM(CASE WHEN orders >= 2 THEN 1 ELSE 0 END)
/ COUNT(*), 2) AS repeat_rate_pct
FROM per_customer;
14
How would you estimate the market size for an electric scooter in India?
The filter from the row field is not reaching the fact table. Usually there is no relationship between that dimension and the fact, the relationship is inactive, or it filters in the wrong direction. It can also happen when the measure uses ALL or REMOVEFILTERS on that column, or when the row field comes from the fact table of a different grain. Check the model view and test the measure with a simple SUM.
17
Write Excel formulas for IRR with yearly cash flows and XIRR with irregular dates.
# Yearly cash flows in B2:B7, year 0 investment negative
=IRR(B2:B7)
# Irregular dates: cash flows in B2:B7, dates in C2:C7
=XIRR(B2:B7, C2:C7)
# XIRR returns an annualised rate based on actual dates,
# which suits SIP returns or projects with uneven payments.
18
Write Excel formulas to find the second-highest sales value and the name of the rep who achieved it.
// second highest value
=LARGE(C2:C100, 2)
// rep name for that value
=INDEX(B2:B100, MATCH(LARGE(C2:C100, 2), C2:C100, 0))
// with ties, SORTBY gives a clean list:
=TAKE(SORTBY(B2:C100, C2:C100, -1), 2)
19
A bank wants to reduce customer churn. What would you do?
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.
20
Why do Agile teams estimate in story points rather than hours?
Story points measure relative effort, complexity and uncertainty compared with a reference story, using a scale like 1, 2, 3, 5, 8. People are better at comparing sizes than predicting exact hours, and points do not depend on who does the work. Over a few sprints the team's velocity, points completed per sprint, makes forecasting reliable. Points should never be used to compare productivity across teams.
KPIs are ongoing health measures of the business, like monthly revenue, churn or on-time delivery, tracked continuously. OKRs are a goal-setting method: an Objective is a qualitative ambition for a quarter, and Key Results are two to four measurable outcomes that show it was achieved. A KPI that is off track often becomes the subject of an OKR, for example 'reduce churn from 5 to 3 percent this quarter'.
22
What is user story mapping and how does it help plan releases?
User story mapping arranges stories in two dimensions. Across the top is the user journey as a sequence of activities, for example search, compare, buy and track. Below each activity, stories are stacked by priority. Drawing horizontal lines across the map creates release slices, where the first slice is a thin end-to-end MVP that covers every step at a basic level. It prevents a flat backlog where teams build one area deeply while the journey stays incomplete.
A balanced scorecard is a strategic performance framework that tracks objectives and KPIs across four perspectives: financial (revenue growth, margin), customer (NPS, retention), internal processes (cycle time, defect rate) and learning and growth (training hours, employee engagement). The idea is that financial results are lagging, so leaders also need leading measures of what drives future performance. A strategy map links the objectives with cause-and-effect arrows from people to processes to customers to financial outcomes.
24
Your AS-IS map of a loan approval process shows 14 handoffs between teams. How do you identify improvements?
First measure each handoff: waiting time, rework rate and volume, using system timestamps where possible. Then classify steps as value-adding, required for compliance or waste. Look for patterns: repeated approvals, information re-entered in two systems, work bouncing back for missing documents. Typical fixes are merging roles, adding a checklist at intake so applications arrive complete, parallelising checks and automating rule-based approvals. Quantify the expected reduction in cycle time for each option.
25
What is a star schema and why do BI tools prefer it?
A star schema has one central fact table holding numeric events (sales, orders) linked to surrounding dimension tables (date, product, customer, region). BI tools prefer it because filters flow cleanly from dimensions to facts, DAX and Tableau calculations stay simple, and compression and query performance improve. A flat single table repeats text values and gets slow, while a snowflake with many chained lookups makes filtering and maintenance harder.
26
Your process diagram has grown to 80 shapes on one page and stakeholders say they cannot read it. What do you do?
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.
Start from the test cases and list the data each needs: customer types, product variants, edge values and historical records. Decide whether to use masked copies of production data, synthetic data or both, because real personal data must be anonymised under data protection rules such as the DPDP Act. Prepare data for negative and boundary cases, keep a refresh plan for repeated cycles, and assign owners. Poor test data is one of the most common causes of blocked UAT days.
28
How would you size the market for IT courses in Delhi NCR?
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.
29
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.
30
A ride-hailing app's ride cancellation rate rose from 8 to 14 percent. How would you structure the problem?
First split by who cancels: riders or drivers. For rider cancellations, check wait times, pickup accuracy, price surges and changes in ETA. For driver cancellations, check trip distance, payment mode, low fares, destination visibility and incentive changes. Then segment by city, time of day and area. Link to recent changes like a new pricing rule. Recommend fixes for the largest driver, such as better matching or adjusted incentives.
31
Write a SQL query for a 7-day rolling average of daily revenue.
WITH daily AS (
SELECT order_date, SUM(amount) AS revenue
FROM orders
GROUP BY order_date
)
SELECT order_date, revenue,
AVG(revenue) OVER (ORDER BY order_date
ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS rolling_7d
FROM daily
ORDER BY order_date;
-- fill missing dates from a calendar table first, or gaps skew the average
WITH daily AS (
SELECT event_date, COUNT(DISTINCT user_id) AS dau
FROM events
WHERE event_date >= '2026-10-01' AND event_date < '2026-11-01'
GROUP BY event_date
),
monthly AS (
SELECT COUNT(DISTINCT user_id) AS mau
FROM events
WHERE event_date >= '2026-10-01' AND event_date < '2026-11-01'
)
SELECT ROUND(AVG(d.dau) * 1.0 / MAX(m.mau), 3) AS stickiness
FROM daily d CROSS JOIN monthly m;
35
What are process levels such as L0 to L4 in a process architecture?
Process levels organise models from broad to detailed. L0 shows the value chain or main process areas, such as Order to Cash. L1 and L2 break these into process groups and end-to-end processes, such as Credit Management. L3 shows the detailed BPMN flow with roles and decisions. L4 covers work instructions or system steps. A level structure keeps hundreds of diagrams consistent, avoids duplicates and lets executives and operators each read the right depth.
36
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.
37
How do you estimate the annual revenue of a coffee shop chain?
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.
39
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.
40
What are the steps to publish and share a Power BI report with your team?
Save the .pbix and click Publish, choosing the team workspace. In the Service, set data source credentials and, for on-premises data, configure the gateway. Schedule refresh. Then share by giving workspace access to editors, or package it as an app for viewers, and apply row-level security roles if needed. Finally, check it on web and mobile and send the link with a short note on what each page answers.
Tips to crack the Affine Business Analytics interview
Practise SQL and Python data manipulation, and be ready to solve a small analysis problem using a sample dataset.
Revise statistics concepts like distributions, sampling and A/B testing, and explain how they guide real business decisions.
Prepare for case questions on topics like customer churn or pricing, structuring your approach before jumping into models.
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; Affine interviewers usually ask follow-ups on your first answer.
Frequently asked questions
How many rounds are there in the Affine Business Analytics interview?
Candidates usually go through 4 stages: Online assessment (aptitude + SQL + statistics); Technical interview; Case study 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 Affine Business Analytics interview?
This practice set leans on Case Studies and Guesstimates (6), Product Analytics (5), Power BI and Tableau (5), Business Metrics and KPIs (4). Revise those first, then practise explaining one or two of your own projects end to end, because most Affine interviewers ask you to walk through real work.
Are these the exact questions asked at Affine?
No. These are curated practice questions that match the skills and difficulty usually tested in analytics interviews like Affine's. They are not a leaked or verified list of past questions.
Where does Affine hire Business Analytics professionals in India?
Affine has large teams in Bengaluru. Openings and locations change often, so check the Affine careers page and filter by city and experience.
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