Accenture Data Analyst candidates report a recruiter or HR screen, a technical conversation on SQL and past projects, and a manager or fit round, with case studies appearing in some accounts.
$92K
Avg. Base Comp
$105K
Avg. Total Comp
2-4 rounds
Typical Rounds
Not reported
Process Length
Candidates who interviewed for Accenture data analyst roles describe a process that leans more toward explaining your own work clearly than toward hard technical puzzles. Several accounts start with an HR or recruiter screen on background, internships, projects and motivation for Accenture, and one also covered location preference. Technical rounds then center on SQL and on walking through a project: what you analyzed, which tools you used and how the findings influenced a decision.
SQL questions candidates mention include joins and their types, finding duplicate values, window functions, GROUP BY, EXISTS versus IN and query optimization. One candidate also described Python basics, dashboard reporting and campaign KPIs. Others said the technical bar was light and the conversation mostly followed the resume, so preparing a clear project story pays off either way. One candidate was also asked to explain the data analysis process itself: how they start a new project, approach a business problem and clean data.
Behavioral and fit questions show up often. Reports include handling conflict between two stakeholders and giving real examples rather than generic answers. Some candidates mention a manager or head-of-department round that felt more like a judgment and working-style conversation than a test. One account describes a case study interview about proposing a strategy for a client. Another mentions scenario-based questions that were more detailed than expected, so practice thinking aloud.
Experiences vary by team, location and level, and outcomes are mixed, so treat this as a guide to likely themes rather than a fixed script.
Synthesized from 42 candidate reports by our editorial team.
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Real interview reports from people who went through the Accenture process.
The process started with an online aptitude and coding assessment. The next stage was a technical round covering SQL, Excel, and the projects on my resume. It opened with an introduction and a tell-me-about-yourself, then moved into SQL queries. From there the questions went deeper into my projects, my previous internship, and the certifications I had listed. The final stage was an HR fitment chat, and I was given time at the end to ask the interviewer my own questions. The technical round relied heavily on my resume, so anything I had listed needed to be something I could explain in detail. I was extended an offer but ended up declining it.
Prep tip from this candidate
Be ready to walk through every project, internship, and certification on your resume in depth, since those made up a large share of the technical round. Practice writing SQL queries out loud as well, because they came up early in that round.
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Topics based on recent interview experiences.
Featured question at Accenture
Select the 2nd highest salary in the engineering department
| Question | |
|---|---|
| Rolling Bank Transactions | |
| Top Three Salaries | |
| Largest Salary by Department | |
| Raining in Seattle | |
| Bank Fraud Model | |
| Encoding Categorical Features | |
| Bagging vs Boosting | |
| Top 5 Turnover Risk | |
| Google Maps Improvement | |
| Identify Managers | |
| Retailer Data Warehouse | |
| Missing Housing Data | |
| Xgboost vs Random Forest | |
| Hurdles In Data Projects | |
| Target Indices | |
| Assumptions of Linear Regression | |
| FAQ Matching | |
| Digitizing Student Test Scores | |
| Count Transactions | |
| Classification and Regression | |
| Merchant Dashboard Design | |
| Slow SQL Query | |
| Data Pipelines and Aggregation | |
| User Event Data Pipeline | |
| Bias vs. Variance Tradeoff | |
| Data Preparation for Imbalanced Data | |
| Demand Metrics | |
| Addressing Data Quality Issues | |
| Different Parcel Effectiveness |
Synthesized from candidate reports. Individual experiences may vary.
Candidates typically report an opening conversation with a recruiter or HR. It covers your introduction, internships or projects, why you want Accenture and sometimes location preference. One describes it as straightforward and focused on communication. Another says they were asked for real examples rather than generic answers.
Candidates report technical questions on SQL, such as joins, duplicate values, window functions or query optimization. Others describe a project walkthrough covering the tools used and the business impact. Depth appears to vary: some call it light and conversational, while one mentions Python basics, dashboard reporting and campaign KPIs.
Some candidates describe a case study or scenario discussion in which they explain how they would approach a business problem and what strategy they would propose for a client. This round may not appear for every candidate, so be ready to reason aloud and state assumptions.
Several candidates report a final conversation with a manager or head of department. It may focus on experience leading analytics work, ownership and fit. Candidates describe it as more about judgment and fit than technical testing, and one mentions an offer discussion afterward.
