Infosys Data Analyst candidates commonly report aptitude or coding screening followed by SQL, project, Power BI, and behavioral conversations. Prepare practical query reasoning and concise walkthroughs of your own analysis work.
$78K
Avg. Base Comp
$90K
Avg. Total Comp
2-3 rounds
Typical Rounds
1-4 weeks
Process Length
Infosys Data Analyst interviews reported here are generally practical and resume-led. Several candidates describe an initial aptitude assessment before a technical conversation, while others report behavioral discussion or an HR follow-up. The number and sequence of stages vary, so treat the outline as a preparation pattern rather than a fixed itinerary.
SQL is the most consistent technical theme. Candidates report joins, GROUP BY and ORDER BY, primary keys, indexing, query optimization, and salary-ranking exercises such as finding the fifth-highest or top-five salaries. Some technical rounds ask candidates to write a query from a supplied table or explain how a query works, making clear reasoning as important as the final syntax.
Your projects can drive much of the conversation. Be ready to explain how you obtained and cleaned the data, the analytical choices you made, the dashboard you built, and a challenge you resolved. Power BI and Tableau appear in project and dashboard discussions. Candidates also report broader database concepts, basic programming or data structures, statistics, and occasional questions about AI, but these topics are less consistent than SQL and project discussion.
Behavioral and HR coverage may include self-introduction, strengths and weaknesses, career goals, teamwork, relocation, and why Infosys. Build concise examples that connect an analytical decision to a business outcome. Reported timing ranges from about 17 days to roughly a week through a month, depending on the opening.
Synthesized from 12 candidate reports by our editorial team.
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Select the 2nd highest salary in the engineering department
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|---|---|
| Top Three Salaries | |
| Top 3 Users | |
| Find the Missing Number | |
| Bagging vs Boosting | |
| Booking Regression | |
| Size of Joins | |
| P-value to a Layman | |
| Normalize Grades | |
| Covariance vs Correlation | |
| Retailer Data Warehouse | |
| Find Duplicate Numbers in a List | |
| Hurdles In Data Projects | |
| Digitizing Student Test Scores | |
| RAG Strict Source Control | |
| Classification and Regression | |
| Swap Variables | |
| Ticket Agent Analysis | |
| Merchant Dashboard Design | |
| Concurrent LLM Serving | |
| Check Matching Parentheses | |
| The Longest Journey | |
| Addressing Data Quality Issues | |
| String Palindromes | |
| Seller Type Modeling | |
| Blob Indexing | |
| Safe Deployments | |
| Pipeline Transformation Failures | |
| Scalable Data Pipelines | |
| Testing Constraints |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report different entry stages: aptitude assessments, online coding or technical tests, and occasional recruiter calls. One Data Analyst candidate described a difficult assessment with three coding problems, while others reported aptitude-first processes. Prepare for the stated assessment format if one is assigned.
Candidates consistently report SQL fundamentals and applied exercises, including joins, salary queries, grouping, primary keys, database concepts, and explaining query reasoning. Technical conversations may also cover Power BI, Python, basic DSA, or introductory ML, depending on the interviewer and opening.
Candidates report detailed questions about projects, internships, dashboards, data cleaning, and prior contributions. Be ready to describe your role, data source, technical choices, obstacles, and the resulting insight or business decision; one candidate also reported an architecture-scaling follow-up tied to an analytics app.
Candidates report self-introductions and questions on strengths, career goals, teamwork, relocation, why Infosys, and situational problem solving. In some accounts this material was combined with the technical interview; in others it appeared as a separate in-person or face-to-face conversation.
Several candidates report an HR-style discussion after the technical stage, often covering availability, interests, goals, or standard fit questions. Other candidates describe a combined technical-and-HR interview, so a separate HR round may not occur in every process.
