
Exl Business Intelligence interview typically runs 3 rounds: group manager, technical round, project manager. The process usually takes a few weeks and is highly technical with poor coordination.
$100K
Avg. Base Comp
$121K
Avg. Total Comp
3
Typical Rounds
2-4 weeks
Process Length
Our candidates report that Exl treats Business Intelligence like a hands-on architecture role, not a reporting job. The strongest signal is how often the conversation moves beyond dashboards into Power BI internals, data warehousing, and Microsoft Fabric. One candidate was pressed on advanced DAX, workspace security, governance, Tabular Editor, and even the distinction between Lakehouse and Data Warehouse concepts, which tells us the team wants people who can reason about the stack end to end, not just build visuals.
A recurring theme is that Exl seems to value practical judgment as much as technical depth. The lighter business-focused discussion with a project manager suggests they still care about how someone translates requirements, but the technical rounds clearly dominate the evaluation. We’ve seen that candidates who can explain why a model or workspace is structured a certain way tend to stand out more than those who only know feature names. In other words, implementation choices and tradeoffs matter here.
The other pattern our candidates mention is less about the interview itself and more about the process around it: coordination can be shaky. In one experience, HR moved ahead with document collection and salary alignment before the final decision was truly settled, then the role was reopened after a client requirement change. That doesn’t change the technical bar, but it does mean candidates should pay attention to how firm the offer is before sharing sensitive paperwork.
Synthetized from 1 candidates reports by our editorial team.
Had an interview recently?
Share your experience. Unlock the full guide.
Real interview reports from people who went through the Exl process.
Unprofessional and a waste of time. I went through three rounds in January 2026 for a Business Intelligence role, and the process was much more intense than I expected. The first round was with a group manager and was a mix of technical and business discussion. We covered SQL, Power BI, data warehousing, and Microsoft Fabric, so it was not just a casual screening. The second round was the toughest by far. It was a very deep technical dive into the stack, and the questions were at an advanced level. I was asked about third-party tools like Tabular Editor, advanced Power BI workspace concepts, security, data governance, and advanced DAX. There were also questions around Fabric, especially the difference between Data Warehouse and Lakehouse concepts. The third round was with a project manager and focused more on business logic and project management, which felt a little lighter compared to the technical rounds.
What made the experience frustrating was what happened after I cleared everything. HR confirmed that I had been selected and even agreed to my salary expectations. Then they asked me to upload all sensitive documents to their portal, including my degree, marksheets, previous experience letters, and current salary slips, saying the offer letter would come after that. I followed up the next day and was told management was still discussing it and that it would be sent by EOD. The day after that, I was told the client had changed the requirement, the job description was being altered, and they were rehiring for the position. The interviewers themselves were knowledgeable and the questions were relevant, but the coordination between HR, management, and the client was very poor. The difficulty was very high, and the outcome was no offer. My takeaway is to be ready for advanced Power BI and Fabric questions, but also to be cautious if they ask for documents before the offer is actually finalized.
Prep tip from this candidate
Brush up on advanced Power BI topics like workspace administration, security, governance, and DAX, and be ready to discuss Tabular Editor plus Fabric Data Warehouse vs. Lakehouse in detail. The process also included a business/project-management round, so prepare to explain BI work in terms of business logic, not just tooling.
Share your own interview experience to unlock all reports, or subscribe for full access.
Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Exl
Select the 2nd highest salary in the engineering department
| Question | |
|---|---|
| Employee Salaries | |
| Hurdles In Data Projects | |
| Size of Joins | |
| P-value to a Layman | |
| Duplicate Rows | |
| Swap Variables | |
| Assumptions of Linear Regression | |
| Type I and II Errors | |
| Multicollinearity in Regression | |
| Your Strengths and Weaknesses | |
| Branch Sales Pivot | |
| Correlation in Regression | |
| Random SQL Sample | |
| WAU vs Open Rates | |
| Success Measurement | |
| Netflix Churn Prediction | |
| Modifying a Billion Rows | |
| Model Deployment Preparation | |
| Why Do You Want to Work With Us | |
| Stakeholder Communication | |
| Addressing Data Quality Issues | |
| International e-Commerce Warehouse | |
| Client Solution Pushback | |
| Vision Setting and Execution Strategy | |
| Unified Inbox | |
| Docs Metrics | |
| Data Cleaning Experiences | |
| PCA and K-Means | |
| Processing Large CSV |
Synthesized from candidate reports. Individual experiences may vary.
The first round is a mixed technical and business discussion with a group manager. Candidates should expect questions on SQL, Power BI, data warehousing, and Microsoft Fabric rather than a light screening conversation.
This is the most technical round and goes deep into the BI stack. Topics include advanced Power BI concepts, Tabular Editor, workspace architecture, security, data governance, advanced DAX, and Fabric concepts such as the difference between Data Warehouse and Lakehouse.
The final interview is with a project manager and focuses more on business logic and project management. Compared with the earlier rounds, this stage is lighter and more oriented toward how the candidate would work in delivery and stakeholder-facing situations.
After clearing the interviews, HR may confirm selection and discuss salary expectations. In this experience, the candidate was asked to upload sensitive documents to the portal before the offer letter was finalized, and the process later stalled due to a client requirement change.