Persistent Systems Business Analytics Interview Questions & Answers
Curated interview practice questions with answers. These are practice scenarios, not a verified list of past interview questions.
About Persistent Systems hiring for Business Analytics roles
Persistent Systems is an Indian technology services company focused on software product engineering, digital transformation, cloud and data services. It serves clients in banking, healthcare, life sciences and software. In India it hires for software engineers, quality engineers, data engineers and analysts, often through campus drives with coding-focused assessments.
For Business Analytics roles, this Persistent Systems practice set focuses most on Requirements and Agile (10), Power BI and Tableau (7), UAT and BA Documentation (5), Case Studies and Guesstimates (5). It has 13 easy, 25 medium, 2 hard questions, so you can start easy and work up to the harder ones.
Company type
IT services
Headquarters
Pune, India
Main India offices
Pune, Nagpur, Bengaluru, Hyderabad, Goa
Persistent Systems Business Analytics interview process
Online assessment (aptitude + coding)
Technical round 1
Technical round 2
HR 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 are UAT entry and exit criteria? Give examples.
Entry criteria are conditions that must be met before UAT starts, for example system and integration testing completed, no open critical defects, UAT environment and test data ready, test cases reviewed and testers trained. Exit criteria define when UAT is complete, for example 100 percent of critical test cases executed, at least 95 percent passed, no open critical or high defects, and workarounds agreed for remaining medium ones. Clear criteria stop arguments about readiness near go-live.
A UAT test plan defines how acceptance testing will be run. It covers scope and out-of-scope items, business processes to be tested, entry and exit criteria, roles such as testers, UAT lead and sign-off authority, test environment and test data, schedule and cycles, defect management process with severity definitions, communication and reporting, and risks. The BA usually drafts it with business owners so testers know exactly what they are accepting and when.
04
Guesstimate: how many weddings take place in India in a year?
Assume a population of about 144 crore and an average life expectancy of about 70 years, so roughly 2 crore people reach a typical marriage age each year. If about 95 percent of them marry at some point, that is around 1.9 crore people, or about 95 lakh weddings, since each wedding involves two people. A reasonable estimate is around 1 crore weddings per year, concentrated in the winter wedding season.
05
What is horizontal and vertical analysis of financial statements?
Horizontal analysis compares line items across periods, showing growth, for example revenue up 18 percent year on year while employee costs grew 30 percent. Vertical analysis expresses each item as a percentage of a base within one period, such as each expense as a percentage of revenue, or each asset as a percentage of total assets. Together they show both trends and structure, and vertical analysis also makes companies of different size comparable.
The BCG matrix classifies business units or products by market growth rate and relative market share. Stars have high share in high-growth markets and need investment. Cash cows have high share in slow markets and fund the rest. Question marks have low share in fast markets and need a decision to invest or exit. Dogs have low share in slow markets and are candidates to divest. It guides portfolio resource allocation.
EBITDA is earnings before interest, taxes, depreciation and amortisation. It approximates operating profit generated by the core business before financing choices, tax rules and non-cash accounting charges. It is useful for comparing companies with different debt levels or asset ages and is used in valuation multiples such as EV/EBITDA. Its weakness is that it ignores capital expenditure and working capital needs, so a company can show strong EBITDA and still burn cash.
08
What is the difference between a report and a dashboard in Power BI Service?
A report is a multi-page, interactive view built in Power BI Desktop from one semantic model, with slicers, drill-through and cross-filtering. A dashboard is a single-page canvas in the Service made of tiles pinned from one or more reports, and is meant for monitoring key numbers at a glance. Dashboards support data alerts on card and KPI tiles, but have limited interactivity; clicking a tile opens the underlying report for detailed exploration.
SUMIFS is faster and easier for sums with AND conditions on ranges. SUMPRODUCT multiplies arrays and sums the result, so it handles cases SUMIFS cannot: weighted totals like price times quantity, OR logic, conditions on calculated values such as MONTH(date)=4, or comparing two columns row by row. On very large sheets SUMPRODUCT is slower, so prefer SUMIFS or a helper column when possible.
10
What is a data dictionary and why does a business analyst maintain one?
A data dictionary is a catalogue of data elements used in a system or report: field name, business definition, data type, length, allowed values, mandatory or optional, source system, owner and example values. A BA maintains it so business users, developers and testers use one definition, for example what counts as an active customer. It prevents mapping errors in integrations and migrations, speeds up testing and reduces disputes about why reports do not match.
11
What is a date table in Power BI and why should you mark it as a date table?
A date table has one row per day with no gaps, plus columns like Year, Quarter, Month, Week and Fiscal Period. It is related to the fact table date column. Marking it as a date table tells Power BI to use it for time intelligence functions like TOTALYTD, SAMEPERIODLASTYEAR and DATESINPERIOD, which require a continuous date range. It also gives consistent month sorting and fiscal calendars across every report.
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.
13
How do you adapt your communication for executives versus technical teams?
Executives want outcomes, impact, risk and decisions needed, in a one-page summary or a few slides with clear numbers. Technical teams need precise details: data fields, business rules, edge cases, acceptance criteria and dependencies. Operations users need process steps and what changes in their daily work. Same facts, different depth and vocabulary. Ask each group how they prefer to receive updates and adjust.
14
What is the difference between top-down and bottom-up market sizing?
Top-down starts from a large known number, such as population or total industry size, and narrows it with percentages to the target segment. Bottom-up starts from a unit, such as one store's daily sales or one customer's purchase frequency, and multiplies up by the number of units. Top-down is fast; bottom-up is more grounded in operations. Doing both and comparing results is a strong sanity check.
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.
16
What do statistical significance and p-value mean in an A/B test?
The p-value is the probability of seeing a difference at least as large as observed if the change truly had no effect. If it is below the chosen threshold, often 0.05, the result is called statistically significant. It does not mean there is a 95 percent chance the variant is better, and significance is not the same as business importance. Always report the confidence interval of the lift as well.
Dimensions are qualitative fields such as Region, Category or Customer Name; placing them on a shelf creates headers and splits the view into groups. Measures are numeric fields such as Sales or Quantity that Tableau aggregates, usually with SUM or AVG. Tableau also marks fields as discrete (blue pills, headers) or continuous (green pills, axes). A date can act as either, which changes whether you get separate bars or a continuous trend line.
18
What are LOD expressions in Tableau and how do FIXED, INCLUDE and EXCLUDE differ?
Level of Detail expressions compute an aggregate at a granularity different from the view. FIXED computes at the stated dimensions regardless of the view, for example { FIXED [Customer ID] : MIN([Order Date]) } for first purchase date. INCLUDE adds a dimension to the view level, useful for average sales per customer by region. EXCLUDE removes a dimension, useful for comparing each month with the yearly total. FIXED ignores normal dimension filters unless they are context filters.
19
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.
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.
A defect is logged as New with steps, expected and actual results, and evidence. It is reviewed in triage and moves to Open or Assigned, or to Rejected, Duplicate or Deferred. The developer fixes it and marks it Fixed or Ready for retest. The tester retests: if it passes it moves to Closed, and if not it is Reopened. Tracking status and age helps the UAT lead report readiness and spot defects stuck too long.
Log the change, assess impact on scope, cost and timeline, get approval through change control or backlog grooming, and update documents and stakeholders.
23
What is the difference between SQL and Excel for analysis?
As a customer, I want to reset my password by email so that I can get back into my account.
Acceptance criteria:
• Reset link expires in 15 minutes
• Password rules are shown while typing
• A success message appears after reset
26
Why should you avoid bidirectional relationships in a Power BI model?
Relationships normally filter one way, from the dimension (one side) to the fact (many side). Bidirectional filtering lets facts filter dimensions too, which can create ambiguous filter paths, unexpected totals and slower queries, especially with multiple fact tables. Prefer a clean star schema with single-direction filters, and when you need a reverse filter for one measure, use CROSSFILTER or TREATAS inside CALCULATE instead of changing the model globally.
27
A stakeholder's only requirement is 'make the app faster'. How do you turn this into clear requirements?
Ask which screens or actions feel slow, for which users, on which devices and networks, and how it affects the business, such as checkout drop-off. Gather current timings from monitoring data. Then write measurable non-functional requirements, for example 'the search results page loads within 2 seconds for 95 percent of requests on a 4G connection'. Confirm targets with the stakeholder and agree how they will be tested.
28
What is the difference between a sprint review and a sprint retrospective?
A sprint review is held at the end of the sprint with stakeholders to demonstrate completed work, gather feedback and adjust the backlog; it is about the product. A sprint retrospective is an internal team meeting afterwards to discuss what went well, what did not and what to improve in the way of working; it is about the process. The BA often helps demo stories in the review.
29
How is a product owner's role different from a business analyst's role?
The product owner owns the product vision and the backlog order, makes final priority decisions and accepts completed work on behalf of the business. The business analyst works on understanding problems in depth: eliciting and analysing requirements, modelling processes and data, writing detailed stories and acceptance criteria and supporting the team and testers. In smaller teams one person may do both, but the PO decides what, while the BA clarifies how it should work.
System testing is done by the QA team to verify that one system works against its functional and non-functional specifications. SIT (system integration testing) checks that connected systems exchange data correctly, such as CRM to billing to payment gateway. UAT (user acceptance testing) is done by business users to confirm the solution supports real business processes and is ready for go-live. UAT asks whether this is fit for our business, not just whether it matches the specification.
An impact-effort matrix is a 2x2 grid that plots options by expected business impact against effort, cost or time. High impact and low effort are quick wins to do first; high impact and high effort are major projects to plan; low impact and low effort are fill-ins; low impact and high effort should be dropped. In a case interview, it helps you end with a clear, prioritised recommendation rather than a long list of ideas.
A self join joins a table to itself using two aliases, so you can compare rows within the same table. A classic business example is an employees table with a manager_id column: joining employees e to employees m on e.manager_id = m.employee_id lists each employee with their manager's name. Another example is finding customers who placed two orders on the same day by joining orders to orders on customer_id and date with different order IDs.
A model classifying features as basic, performance or delight attributes based on how they affect customer satisfaction, helping decide what to build first.
36
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.
37
Daily active users dropped 10 percent week over week. How do you investigate?
Rule out data issues first: tracking changes, app release bugs, pipeline delays or bot filters. Check whether the drop is seasonal by comparing with the same week last year or a festival calendar. Then segment by platform, app version, country or city, acquisition channel and new versus returning users to locate it. Look at the funnel for the core action. Connect findings to releases, outages or marketing changes, then recommend fixes.
CALCULATE evaluates an expression under a modified filter context. You pass a measure plus filter arguments that add, replace or remove filters, for example CALCULATE([Sales], 'Region'[Name] = "North") or CALCULATE([Sales], ALL('Product')). It is the basis of time intelligence, percent-of-total and comparison measures. It also triggers context transition when used inside a row context, which is powerful but a common source of confusion.
40
How would you estimate the market size for an electric scooter in India?
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.
Tips to crack the Persistent Systems Business Analytics interview
Practise coding problems of easy to medium difficulty, as Persistent assessments usually focus more on programming than service peers.
Revise data structures, OOP, DBMS and operating system basics for the technical rounds.
Read about Persistent's product engineering background and its partnerships with major cloud providers.
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; Persistent Systems interviewers usually ask follow-ups on your first answer.
Frequently asked questions
How many rounds are there in the Persistent Systems Business Analytics interview?
Candidates usually go through 4 stages: Online assessment (aptitude + coding); Technical round 1; Technical round 2; 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 Persistent Systems Business Analytics interview?
This practice set leans on Requirements and Agile (10), Power BI and Tableau (7), UAT and BA Documentation (5), Case Studies and Guesstimates (5). Revise those first, then practise explaining one or two of your own projects end to end, because most Persistent Systems interviewers ask you to walk through real work.
Are these the exact questions asked at Persistent Systems?
No. These are curated practice questions that match the skills and difficulty usually tested in it services interviews like Persistent Systems's. They are not a leaked or verified list of past questions.
Where does Persistent Systems hire Business Analytics professionals in India?
Persistent Systems has large teams in Pune, Nagpur, Bengaluru, Hyderabad, Goa. Openings and locations change often, so check the Persistent Systems careers page and filter by city and experience.
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