Accenture Data Analyst interviews typically combine a recruiter or HR screen, a timed aptitude assessment, and a SQL-focused technical round, usually closing with a behavioral or HR discussion and sometimes a separate manager round.
$81K
Avg. Base Comp
$105K
Avg. Total Comp
3-5 rounds
Typical Rounds
2-4 weeks
Process Length
Across the Accenture Data Analyst reports gathered here, a consistent shape emerges even though the exact number of rounds varies. Most candidates describe starting with a recruiter or HR screening call covering background, current experience, and sometimes compensation expectations, followed by a timed online aptitude or cognitive assessment spanning basic mathematics, logical reasoning, and numerical ability that several describe as tight on time rather than difficult. The SQL interview is the most consistent technical checkpoint, with candidates citing joins and aggregation functions, window functions, data types such as VARCHAR, referential integrity, indexing, stored procedures, and CTEs, alongside lighter Python questions and sometimes Java, Power BI, or Tableau exposure tied to real projects from their resumes.
Beyond SQL, one candidate describes a case study built entirely around SQL queries, and another went through a separate communication round assessing how clearly they could articulate technical ideas. Most reports then move into a behavioral or HR round covering strengths and weaknesses, career aspirations, teamwork, and salary expectations, and one candidate finished with a manager round that leaned on competency-style prompts such as how they manage conflict between two stakeholders rather than on coding. Interviewers are described consistently as calm and approachable, with several candidates noting the rounds felt like conversations rather than interrogations and that feedback came back fairly quickly. Reported end-to-end length ranges from about two weeks to roughly a month, so treat any single timeline as one data point rather than a fixed rule, and expect the depth to sit in SQL and in how concretely you can explain the projects on your resume.
Synthesized from 31 candidate reports by our editorial team.
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Real interview reports from people who went through the Accenture process.
The interview was structured across three stages. First came an online aptitude assessment that covered basic mathematics, logical reasoning, numerical ability, and problem-solving—these tested broad analytical thinking rather than deep technical knowledge. Candidates who passed that moved into a technical interview where the focus was on SQL, data analytics concepts, and programming fundamentals. The interviewer asked me to introduce myself, explain my technical skills and educational background, discuss projects from my resume, and answer general questions about why I was interested in the role and company. They threw in a few basic programming questions and even some current affairs questions, which felt designed to gauge communication ability and general awareness. The final stage was an HR interview emphasizing behavioral fit—they explored strengths and weaknesses, career aspirations, and how I approach teamwork. Throughout, the structure felt methodical; each stage had a clear purpose and built on the previous one to paint a complete picture of both technical capability and cultural alignment.
Prep tip from this candidate
The aptitude test is broad and timed, so practice quick mental math and logical reasoning problems beforehand. For the technical interview, be prepared to go deep on SQL and data analytics concepts from your projects—general programming knowledge is tested, but the focus is on data-specific skills.
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Sourced from candidate reports and verified by our team.
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 | |
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| Hurdles In Data Projects | |
| Target Indices | |
| Assumptions of Linear Regression | |
| FAQ Matching | |
| Digitizing Student Test Scores | |
| Count Transactions | |
| Classification and Regression | |
| Slow SQL Query | |
| Merchant Dashboard Design | |
| Data Pipelines and Aggregation | |
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| Bias vs. Variance Tradeoff | |
| Data Preparation for Imbalanced Data | |
| Demand Metrics | |
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| Different Parcel Effectiveness |
Synthesized from candidate reports. Individual experiences may vary.
Most candidates report starting with a recruiter or HR phone screen covering work history, education, and motivation for joining Accenture. The focus is on communication and fit rather than technical depth, and several candidates were also asked about current compensation and salary expectations at this point.
A number of candidates describe a timed online assessment testing basic mathematics, logical reasoning, numerical ability, and general problem-solving, sometimes framed as a cognitive test. Several candidates say the time pressure, not the difficulty, was the hardest part. Not every candidate reports this stage, and one describes an additional optional technical assessment alongside it.
The core technical round centers on SQL: candidates repeatedly mention joins, aggregation functions, window functions, indexing, stored procedures, CTEs, referential integrity, and data types such as VARCHAR, alongside basic Python and occasionally Java or Power BI and Tableau questions. Interviewers commonly ask candidates to introduce themselves and walk through resume projects in parallel, and one candidate reports a panel of four interviewers covering SQL basics over about 45 minutes.
One candidate describes a second technical round built around a case study composed entirely of SQL queries, and another went through a dedicated communication round assessing how clearly they could articulate technical ideas. These stages appear less consistently than the main SQL interview, so be ready to explain a past analytics project in concrete terms even without a formal case prompt.
A closing HR or behavioral round typically covers strengths and weaknesses, career aspirations, teamwork, and salary expectations. Candidates describe this stage as calmer and more conversational than the technical rounds, with interviewers looking for specific examples rather than generic answers. In some cases a separate manager round follows, focused on competency-style questions such as handling conflict between two stakeholders.
