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Prep plan
Updated weekly · Last refresh Nov 2

Accenture Data Analyst Interview Questions

The questions to prepare for a Accenture Data Analyst interview. Questions from real interview reports rank first. Updated daily.

34questions
~5htotal time
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1
SQL & Data ManipulationStart here. 10 questions · ~91 min
Star vs Snowflake for Sales AnalyticsMedium
Recently asked

Compare star and snowflake schemas for warehouse design, including trade-offs in normalization, query simplicity, and analytics performance.

JoinsData WranglingGroup ByAccenture
Prepayment and Journal EntryMedium
Practice
Recently asked

Identify valid prepayments and return the corresponding debit and credit journal entry accounts.

ledgerfinancial datadata validationAccenture
SQL, Power BI, and Python BasicsMedium
Practice
Recently asked

Calculate completed order totals per customer using a join, aggregation, NULL handling, and spending classification.

JoinsCase WhensqlAccenture
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2
Metrics3 questions · ~27 min
Diagnose Operational Bottlenecks with MetricsMedium
Recently asked

Use operational metrics to find where work slows down, isolate root causes, and turn the analysis into repeatable improvements.

Diagnosisoperational databottlenecksAccenture
Investigate User Engagement DeclineMedium
Recently asked

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsAccenture
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3
Behavioral & Leadership18 questions · ~163 min
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4
More topics3 questions · ~27 min
CI/CD Pipeline From ScratchHard
Recently asked

Explain how you would build a CI/CD pipeline for data workloads from scratch, including tooling, security controls, scalability, and monitoring.

infrastructure as codedata pipelinesCI/CDAccenture
Translate Vague Needs Into StoriesMedium
Recently asked

Assesses your product sense and ability to convert business intent into implementable requirements.

business requirementstechnical specificationsAccenture
Design ETL or ELT WorkflowsMedium
Recently asked

Evaluates your approach to building reliable data integration pipelines end to end.

data integrationETLAccenture
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