Top 18
Prep plan
Updated weekly · Last refresh Oct 17

Exusia Data Analyst Interview Questions

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

18questions
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1
SQL & Data ManipulationStart here. 8 questions + 2 drills · ~89 min
Second Highest Without AggregatesHard
Practice

Find the second highest salary in each department without using aggregate functions.

SubqueriesRankingSelf-JoinsExusia
NULLs in Aggregate MetricsEasy

Explain how PostgreSQL aggregate functions treat NULL values and when to use COALESCE to control results.

null handlingCase WhenAggregationsExusia
Star vs Snowflake for Meta AnalyticsEasy

Explain star and snowflake schemas, their tradeoffs, and when to use each in Meta-scale analytics systems.

Exusia
Clustered vs Non-Clustered IndexesMedium

Explain how clustered and non-clustered indexes differ in storage, lookup behavior, and query performance.

JoinsData WranglingExusia
Star vs Snowflake SchemasMedium

Evaluates your understanding of dimensional modeling tradeoffs for analytics performance and usability.

database designExusia
Top Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
Optimizing a Slow QueryMedium
Practice
Practice drill

Rewrite a slow PostgreSQL reporting query to reduce scanned rows, avoid join multiplication, and return accurate monthly site metrics.

Subqueriesdatabase optimizationJoinsContinental FinanceCapgeminiDISH
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2
Behavioral & Leadership8 questions · ~69 min
Gathering Requirements Under AmbiguityEasy

Tests requirements gathering in an ambiguous setting, including stakeholder alignment, communication, and ownership of a clear final scope.

Stakeholder ManagementCommunicationOwnershipExusia
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3
More topics2 questions · ~17 min
Design Analytics Dashboard for Nontechnical UsersMedium

Design an analytics dashboard that helps nontechnical users understand performance and take action without getting lost in complexity.

User SegmentsUser Needsuser-centric designExusia
Handle Missing Data in PandasMedium

Tests data cleaning strategies and robustness when preparing datasets for analytics.

Data QualityProblem Solvingtechnical experienceExusia

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