Workday Business Analytics Interview Questions & Answers
Curated interview practice questions with answers. These are practice scenarios, not a verified list of past interview questions.
About Workday hiring for Business Analytics roles
Workday is an enterprise cloud software company that provides applications for human resources, finance, planning and payroll. Large organisations use its platform to manage employees, hiring, financial accounting and analytics. It has a growing India presence that hires software engineers, quality engineers, data engineers and support roles, and many organisations also hire Workday functional and technical consultants.
For Business Analytics roles, this Workday practice set focuses most on Financial and Business Analysis (7), SQL for Business Analysis (7), Case Studies and Guesstimates (6), Excel for Business Analysts (6). It has 3 easy, 29 medium, 8 hard questions, so you can start easy and work up to the harder ones.
Company type
Product
Headquarters
Pleasanton, California, USA
Main India offices
Pune
Workday Business Analytics interview process
Online coding assessment
Technical round 1 (DSA)
Technical round 2 (design or domain)
Hiring manager and behavioural round
Typical pattern based on public candidate experiences. Rounds vary by role, team and year.
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01
Gross margin fell from 38 percent to 34 percent in one quarter. How do you investigate?
Break the change into drivers. Price: were discounts or promotions deeper? Mix: did sales shift towards lower-margin products, channels or regions? Cost: did raw material, freight or supplier prices rise, or did currency movements raise import costs? Also check one-offs like inventory write-offs and accounting reclassifications. Build a margin bridge showing how many percentage points each driver contributed, then take the biggest driver to the business owner with a specific action.
02
What is a business case document and what does it contain?
A business case justifies why an organisation should invest in a project. It usually contains the problem or opportunity, objectives and success measures, options considered including do nothing, costs and benefits of each option with a financial evaluation such as NPV and payback, risks and assumptions, impact on people and processes, a recommended option and an implementation timeline. A BA often builds it with finance, and it becomes the baseline for checking benefits after delivery.
03
Your measure shows the same value on every row of a matrix. Why might that happen?
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.
04
Tell me about a time you solved an ambiguous problem with limited data.
Situation: my manager asked why customer complaints were rising, but complaints were stored as free text with no categories. Task: give an answer within a week. Action: I sampled 300 complaints, created categories, tagged them manually and used keyword rules in Excel to classify the rest, then validated with the support lead. Result: late refunds were 40 percent of complaints, the refund process was fixed, and categorised tagging was added to the support tool.
05
What is COALESCE in SQL and how does it differ from ISNULL or IFNULL?
COALESCE returns the first non-NULL value from a list of expressions, for example COALESCE(mobile, landline, 'Not available'). It is ANSI standard and works in all major databases. ISNULL (SQL Server) and IFNULL (MySQL) accept only two arguments and are vendor-specific. Analysts commonly use COALESCE to show zero instead of NULL after a LEFT JOIN, such as COALESCE(SUM(o.amount), 0), so that customers without orders appear with zero revenue.
06
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.
07
Overall conversion fell this month, yet conversion improved for both mobile and desktop users. How is that possible?
This is Simpson's paradox caused by a change in mix. If mobile converts lower than desktop and the share of mobile traffic grew sharply, the overall average can fall even though each segment improved. Show conversion by segment along with the traffic mix. The insight is not that conversion got worse but that traffic shifted, so the question becomes how to raise mobile conversion further.
08
Write a SQL query for the top 3 products by revenue in each category.
WITH ranked AS (
SELECT category, product_id, SUM(amount) AS revenue,
DENSE_RANK() OVER (PARTITION BY category
ORDER BY SUM(amount) DESC) AS rk
FROM sales
GROUP BY category, product_id
)
SELECT category, product_id, revenue
FROM ranked
WHERE rk <= 3
ORDER BY category, rk;
09
The totals in your Excel report differ from the finance system by a few rupees. What could cause this?
Usually rounding. Excel may display rounded values while summing the full-precision numbers, or line items were rounded individually in the source system and the total was computed differently. Check whether finance rounds each invoice line before summing, and apply ROUND at the same level in Excel. Other causes include floating-point artifacts, values stored as text being skipped by SUM, or hidden filtered rows. Agree and document one rounding rule with finance.
10
Tell me about a dashboard you built that changed a business decision.
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.
The time value of money means a rupee today is worth more than a rupee in the future, because today's rupee can be invested to earn a return and future money carries inflation and risk. Future cash is converted to present value using PV = FV / (1 + r)^n. At a 10 percent discount rate, 1,10,000 rupees received after one year is worth 1,00,000 rupees today. It is the basis of NPV, IRR, loan EMIs and valuation.
12
What is the difference between zero-based budgeting and incremental budgeting?
Incremental budgeting takes last year's budget and adjusts it by a percentage, which is quick but carries forward old inefficiencies. Zero-based budgeting starts every cost line from zero, and each activity must be justified by its value each cycle. ZBB uncovers waste and suits cost-reduction programmes, but takes much more effort and can create friction. Many companies apply ZBB to discretionary costs such as marketing and travel and use incremental methods elsewhere.
13
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.
14
A hospital chain's average patient waiting time has risen from 30 to 50 minutes. How would you approach the case?
Clarify where the wait is measured: registration, consultation, diagnostics or billing. Split the problem into demand and capacity. On demand, check patient volume, peak-hour mix, walk-ins versus appointments and new departments. On capacity, check doctor availability, no-shows of staff, consultation time per patient and process bottlenecks such as manual billing. Identify the biggest stage and suggest fixes like slot-based appointments, triage and digital billing.
15
Write an Excel formula for month-to-date sales up to today.
// Dates in Sales[Date], amounts in Sales[Amount]
=SUMIFS(Sales[Amount],
Sales[Date], ">=" & EOMONTH(TODAY(), -1) + 1,
Sales[Date], "<=" & TODAY())
// EOMONTH(TODAY(),-1)+1 gives the first day of the current month
16
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.
17
How do you calculate cycle time, touch time and process efficiency? Give an example.
Cycle time (lead time) is the total elapsed time from the start to the end of a case. Touch time is the time someone actually works on it. Process cycle efficiency is touch time divided by cycle time. Example: a refund takes 5 working days (40 working hours) end to end, but the agents spend only 2 hours in total working on it. Efficiency is 2 / 40 = 5 percent, so 95 percent of the time is waiting, and queues are the main target.
18
Write a SQL query to get each customer's first order date and first order amount.
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;
19
Write a SQL query to calculate monthly customer churn rate for a subscription business.
WITH monthly AS (
SELECT DISTINCT customer_id,
DATE_TRUNC('month', billing_date) AS month
FROM subscriptions_billed
)
SELECT
prev.month AS month,
COUNT(prev.customer_id) AS customers_at_start,
COUNT(prev.customer_id) - COUNT(nxt.customer_id) AS churned,
ROUND(100.0 * (COUNT(prev.customer_id) - COUNT(nxt.customer_id))
/ COUNT(prev.customer_id), 2) AS churn_pct
FROM monthly prev
LEFT JOIN monthly nxt
ON nxt.customer_id = prev.customer_id
AND nxt.month = prev.month + INTERVAL '1 month'
GROUP BY prev.month
ORDER BY prev.month;
20
What are Excel Tables (Ctrl+T) and why should analysts use them?
An Excel Table turns a range into a named, structured object. It expands automatically when rows are added, so formulas, charts, PivotTables and Power Query sources pick up new data without range edits. It supports structured references like =SUM(Sales[Amount]), calculated columns that fill down automatically, built-in filters, banded formatting and a total row. Tables make reports far less error-prone than fixed ranges like A2:F5000.
21
Monthly subscription churn jumped from 3 percent to 5 percent. How do you investigate?
Confirm the data first: definition changes, failed-payment handling or a billing date shift. Then segment churn by plan, tenure, acquisition channel, city and device to find where it concentrates. Separate voluntary cancellations from involuntary card failures. Look at events before the jump, like a price change, app release or competitor offer, and read cancellation reasons. Recommend targeted fixes, such as payment retries or win-back offers, and track the affected cohort.
Situation: monthly cloud and software subscription costs had grown 35 percent in a year without anyone tracking why. Task: my manager asked me to review them. Action: I combined invoices with user login data in Excel and found 140 licences unused for over 90 days and two tools doing the same job. Result: we cancelled unused licences and consolidated tools, saving about 18 lakh rupees a year, and I set up a quarterly licence review report.
25
Your LEFT JOIN report should list all customers, but customers without orders are missing. Why?
A condition on the right table was probably placed in the WHERE clause, for example WHERE o.order_date >= '2026-01-01'. For customers with no orders, o.order_date is NULL, so WHERE removes them and the query behaves like an INNER JOIN. Move the condition into the ON clause, as in LEFT JOIN orders o ON o.customer_id = c.id AND o.order_date >= '2026-01-01', or explicitly allow NULLs.
26
What are unit economics and why do investors and leaders focus on them?
Unit economics measure revenue and cost for one unit of business, such as one order, one customer or one subscription. For an order you compute average order value minus product cost, delivery, payment fees, discounts and support cost to get contribution margin. If each unit loses money, scale only increases losses. Leaders use unit economics to decide pricing, which cities or channels to grow and where to cut cost.
Structure it: households × car-owning share ÷ replacement cycle + first-time buyers + commercial fleet. State each assumption clearly and sanity-check the final number.
29
How do you write a query to find users active in consecutive months?
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.
31
A stakeholder asks for a detailed report by tomorrow, but it realistically needs a week. What do you do?
Understand the real need first: what decision is it for and what is the minimum that helps tomorrow? Offer a phased answer, such as a quick directional view with the top three numbers tomorrow, clearly labelled with caveats, and the full validated report in a week. Explain the trade-off between speed and accuracy. Confirm the agreed plan in writing so expectations are clear.
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.
34
Vendor A has a lower licence price, but Vendor B has lower running costs. How do you compare them?
Compare total cost of ownership over the same period, usually 3 to 5 years. Include licence or subscription fees, implementation, data migration, integration, training, internal staff time, infrastructure, support and upgrade costs, and exit costs. Discount the yearly totals to present value if the timing differs. Then weigh the result against non-cost factors such as fit to requirements, scalability and vendor stability. Often the cheaper licence ends up costlier once customisation and support are added.
35
Write a SQL query that shows revenue per region with one column per quarter.
SELECT region,
SUM(CASE WHEN EXTRACT(QUARTER FROM order_date) = 1 THEN amount ELSE 0 END) AS q1,
SUM(CASE WHEN EXTRACT(QUARTER FROM order_date) = 2 THEN amount ELSE 0 END) AS q2,
SUM(CASE WHEN EXTRACT(QUARTER FROM order_date) = 3 THEN amount ELSE 0 END) AS q3,
SUM(CASE WHEN EXTRACT(QUARTER FROM order_date) = 4 THEN amount ELSE 0 END) AS q4
FROM orders
WHERE EXTRACT(YEAR FROM order_date) = 2026
GROUP BY region;
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'.
37
After joining orders to a payments table, your total revenue doubled. What went wrong?
The join created a fan-out: some orders have more than one payment row, such as split payments or retries, so each order amount is repeated. Check the grain by counting rows per order_id on both sides. Fix it by aggregating payments to one row per order in a CTE before joining, joining on the full key, or summing from the table whose grain matches the metric. Always compare row counts before and after a join.
38
What is an event tracking plan and why does it matter?
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.
39
How would you analyse the declining sales of a retail store?
Both look up values flexibly; XLOOKUP is simpler with built-in not-found handling, while INDEX-MATCH works in older Excel versions.
Tips to crack the Workday Business Analytics interview
Practise DSA problems and object-oriented design, and be ready to explain your reasoning clearly while coding live.
Learn basic HR and finance business processes, which helps you understand how Workday applications are used by customers.
Prepare behavioural stories showing collaboration and customer focus, since Workday highlights its people-first culture and core values.
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; Workday interviewers usually ask follow-ups on your first answer.
Frequently asked questions
How many rounds are there in the Workday Business Analytics interview?
Candidates usually go through 4 stages: Online coding assessment; Technical round 1 (DSA); Technical round 2 (design or domain); Hiring manager and behavioural 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 Workday Business Analytics interview?
This practice set leans on Financial and Business Analysis (7), SQL for Business Analysis (7), Case Studies and Guesstimates (6), Excel for Business Analysts (6). Revise those first, then practise explaining one or two of your own projects end to end, because most Workday interviewers ask you to walk through real work.
Are these the exact questions asked at Workday?
No. These are curated practice questions that match the skills and difficulty usually tested in product interviews like Workday's. They are not a leaked or verified list of past questions.
Where does Workday hire Business Analytics professionals in India?
Workday has large teams in Pune. Openings and locations change often, so check the Workday careers page and filter by city and experience.
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