Wipro Data Analyst candidates describe an online aptitude screen, a technical interview centered on SQL, Excel or Power BI and projects, and an HR conversation. Questions are mostly fundamentals.
$80K
Avg. Base Comp
$95K
Avg. Total Comp
3-4 rounds
Typical Rounds
Not reported
Process Length
Candidates describe Wipro's Data Analyst interview as basic-to-moderate, with most of the weight on SQL fundamentals and your ability to explain your own projects. Several reports begin with an online aptitude test covering reasoning, quantitative and verbal questions, followed by a technical interview and an HR conversation. One candidate also mentions a group discussion, and another a case study or data task before HR.
In the technical round, SQL comes up most often. Reported topics include joins (left, right and inner), WHERE conditions, subqueries, GROUP BY and HAVING, and a query for the department with the maximum salary. One candidate was also asked about the default sort order in SQL. Excel (VLOOKUP, pivot tables, debugging errors), Power BI or Tableau, and basic Python also appear, though not for every candidate. One person was asked about chart types such as donut versus pie.
Project walkthroughs are common. Candidates were asked to introduce themselves, describe a final-year project or other resume projects, and explain the tools they used and the business impact. Expect follow-ups on anything listed on your resume.
HR conversations covered strengths and weaknesses, why Wipro, future plans, and why candidates wanted to switch companies. Most reports were no-offer outcomes, so practice explaining simple concepts clearly rather than only knowing them.
Synthesized from 9 candidate reports by our editorial team.
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Featured question at Wipro
Select the 2nd highest salary in the engineering department
| Question | |
|---|---|
| Prime to N | |
| Largest Salary by Department | |
| Find the Missing Number | |
| Repeated Category Purchase | |
| Size of Joins | |
| Valid Anagram | |
| Find Duplicate Numbers in a List | |
| Hurdles In Data Projects | |
| Target Indices | |
| Assumptions of Linear Regression | |
| Duplicate Rows | |
| Sales vs Revenue | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| Swap Variables | |
| Seller Type Modeling | |
| String Palindromes | |
| Blob Indexing | |
| The Pirate’s Hunt | |
| Client Solution Pushback | |
| International e-Commerce Warehouse | |
| Expansion Plan | |
| Relational Migration | |
| Why Do You Want to Work With Us | |
| Production Rollout Challenges | |
| Your Strengths and Weaknesses | |
| Maximum Common Substring | |
| Linear vs Logistic Regression | |
| Empty Neighborhoods | |
| Top Three Salaries |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report an online aptitude-style test as the first step, covering logical reasoning, quantitative ability and verbal or English questions, sometimes with attention-to-detail items. It typically works as a filter rather than a deep technical test, so review standard aptitude formats beforehand.
One candidate describes a group discussion that focused on communication, and another reports completing a case study or data task before the HR discussion. These steps do not appear in every report, so they may depend on the hiring track or location. Practice speaking clearly and structuring simple business answers.
Candidates report a conversational technical round covering SQL joins, GROUP BY, HAVING and subqueries, plus Excel (VLOOKUP, pivot tables), Power BI or Tableau, and basic Python. Interviewers often asked for a walkthrough of projects listed on the resume, so prepare to explain tools and results.
The final conversation is typically with HR, in person or online. Candidates report questions on strengths and weaknesses, why they want Wipro, future plans, why they are switching companies, and working with stakeholders or teammates. Prepare concise, honest answers.
