Capgemini Data Analyst Interview Questions (2026)

1. 1Game-Based Aptitude Test30 minEasy

   Gamified cognitive puzzles measuring numerical, deductive, and attention skills under time pressure.

2. 2Pseudocode & English Test45 minMedium

   MCQs predicting pseudocode output plus grammar/comprehension; the classic Capgemini filter.

3. 3Coding Round (Exceller track)45 minMedium

   2 coding problems that gate the higher fresher package; standard implementation difficulty.

4. 4Technical Interview45 minMedium

   Projects, OOP/SQL fundamentals, and skill-track scenarios (Java, testing, SAP, cloud) in a conversational panel.

5. 5Managerial Round40 minMedium

   Delivery manager probes client scenarios, estimation, and team handling for experienced hires.

6. 6HR Discussion30 minEasy

   Values-fit (Seven Values), relocation/shift flexibility, compensation, and documentation.

1. Q1

   Write a SQL query to find duplicate customer records in Capgemini's healthcare client's appointment no-show reporting. How would you decide which record survives?

   MediumSQL roundduplicate detectionCapgemini-specific

   Context: Capgemini healthcare client's appointment no-show reporting

   How to answer: Use GROUP BY/HAVING or ROW_NUMBER over a business key, define survivorship rules, and push the fix upstream. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

2. Q2

   Using window functions, how would you add a 7-day rolling total and a rank within category to Capgemini's logistics client's delivery SLA tracking?

   MediumSQL roundwindow functionsCapgemini-specific

   Context: Capgemini logistics client's delivery SLA tracking

   How to answer: Contrast aggregate vs window behavior, frame clauses, and partition choices. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

3. Q3

   For Capgemini's credit-card client's spend-category dashboard, when would an INNER JOIN silently drop rows a LEFT JOIN would keep? Show the row counts you would check.

   MediumSQL roundjoinsCapgemini-specific

   Context: Capgemini credit-card client's spend-category dashboard

   How to answer: Explain join semantics with unmatched keys, and the count-before/count-after habit. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

4. Q4

   Your monthly GROUP BY summary for Capgemini's banking client's loan-portfolio reporting does not match the source system's total. How do you reconcile them?

   HardSQL roundaggregation and reconciliationCapgemini-specific

   Context: Capgemini banking client's loan-portfolio reporting

   How to answer: Compare grain, filters, timezone/date boundaries, late-arriving rows, and duplicates. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

5. Q5

   Which results change when key columns in Capgemini's retail client's daily sales dashboard contain NULLs — filters, joins, COUNT vs COUNT(col), averages?

   MediumSQL roundNULL handlingCapgemini-specific

   Context: Capgemini retail client's daily sales dashboard

   How to answer: Walk NULL semantics through WHERE, JOIN keys, aggregates, and COALESCE defaults. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

6. Q6

   After adding a join, revenue in Capgemini's telecom client's churn reporting doubled. Debug the query and prove the fix.

   HardSQL roundjoin fan-out debuggingCapgemini-specific

   Context: Capgemini telecom client's churn reporting

   How to answer: Detect one-to-many fan-out, pre-aggregate or dedupe the many side, verify with row counts. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

7. Q7

   When would you restructure a nested-subquery report for Capgemini's insurance client's claims data mart into CTEs, and what does it cost?

   MediumSQL roundCTEs and subqueriesCapgemini-specific

   Context: Capgemini insurance client's claims data mart

   How to answer: Readability, reuse, debugging layer by layer; note optimizer behavior differences. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

8. Q8

   Find the top 3 products per region by revenue in Capgemini's e-commerce client's returns analysis, handling ties explicitly.

   MediumSQL roundranking problemsCapgemini-specific

   Context: Capgemini e-commerce client's returns analysis

   How to answer: ROW_NUMBER vs RANK vs DENSE_RANK, and which tie behavior the business actually wants. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

9. Q9

   Your XLOOKUP against the master sheet in Capgemini's healthcare client's appointment no-show reporting returns #N/A for valid IDs. What do you check?

   MediumExcel and BI roundlookupsCapgemini-specific

   Context: Capgemini healthcare client's appointment no-show reporting

   How to answer: Trailing spaces, number-vs-text types, exact match mode, and TRIM/VALUE cleanup. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

10. Q10

    Build a pivot summary for Capgemini's logistics client's delivery SLA tracking: what goes in rows, values, and filters, and when does a pivot beat formulas?

    MediumExcel and BI roundpivot tablesCapgemini-specific

    Context: Capgemini logistics client's delivery SLA tracking

    How to answer: Structure the source as a flat table, choose aggregations, and know pivot refresh limits. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

11. Q11

    List the cleaning steps you would run on a raw extract for Capgemini's credit-card client's spend-category dashboard before any analysis.

    MediumExcel and BI rounddata cleaning in ExcelCapgemini-specific

    Context: Capgemini credit-card client's spend-category dashboard

    How to answer: Duplicates, blanks, types, date formats, merged cells, and a repeatable order of operations. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

12. Q12

    In Power BI, when does Capgemini's banking client's loan-portfolio reporting need a DAX measure instead of a calculated column?

    HardExcel and BI roundDAX measuresCapgemini-specific

    Context: Capgemini banking client's loan-portfolio reporting

    How to answer: Row context vs filter context, storage cost, and totals that only measures get right. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

13. Q13

    Design the Power BI model for Capgemini's retail client's daily sales dashboard: which tables are facts, which are dimensions, and why not one flat table?

    MediumExcel and BI rounddata modelingCapgemini-specific

    Context: Capgemini retail client's daily sales dashboard

    How to answer: Star schema, relationship directions, and what breaks when everything is one wide table. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

14. Q14

    The client says the Capgemini dashboard for telecom client's churn reporting takes a minute to load. How do you make it fast?

    MediumExcel and BI rounddashboard performanceCapgemini-specific

    Context: Capgemini telecom client's churn reporting

    How to answer: Reduce cardinality, trim visuals, pre-aggregate, and measure before optimizing. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

15. Q15

    Which KPIs go on the first screen of Capgemini's insurance client's claims data mart, and what do you deliberately leave out?

    MediumExcel and BI rounddashboard designCapgemini-specific

    Context: Capgemini insurance client's claims data mart

    How to answer: Lead with decisions the client makes weekly; park detail in drill-throughs. State the business question, the data you would pull, and the checks that make the number trustworthy. Walk through the query or steps concretely, naming tables, joins, filters, and edge cases. Close with how you would validate the result and explain it to the stakeholder.

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Clear aptitude and pseudocode; revise programming fundamentals; prepare project and HR questions

Indicative Data Analyst pay in India: ~₹6–22 LPA (role-level range, not a Capgemini-specific figure).

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