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Top 11
Prep plan
Updated weekly · Last refresh Sep 26

Pattern Data Analyst Interview Questions

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

11questions
~1htotal time
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1
SQL & Data ManipulationStart here. 5 questions + 3 drills · ~70 min
Top Product Segments QueryMedium

Assesses ability to write SQL that ranks and aggregates performance metrics by segment.

product metricssql queryData AnalysisPattern
Complex Queries With WindowsHard

Assesses ability to design maintainable, correct SQL using advanced constructs like windows.

Window Functionscomplex queriessqlPattern
Handle Nulls in Large JoinsMedium

Tests SQL join correctness and data quality handling for large-scale datasets.

null handlingdata integrityPattern
Join Types: Inner vs LeftEasy

Tests your SQL fundamentals and ability to reason about relational query results.

JoinsData WranglingPattern
Optimizing Slow SQL QueriesMedium

Tests query tuning skills, including indexing, execution plans, and performance diagnostics.

performancePattern
Detect Duplicate Customer RecordsMedium
Practice
Practice drill

Identify duplicate customer records within each Pattern ecommerce partner using normalized email addresses.

deduplicationdata cleaningdata accuracyPattern
Rolling 30-Day Sales VolumeMedium
Practice
Practice drill

Calculate each product's daily sales and rolling 30-day sales volume using PostgreSQL date-based aggregation.

Window FunctionsDate FunctionsData ManipulationPattern
SQL Duplicate Consumer ProfilesMedium
Practice
Practice drill

Identify likely duplicate consumer profiles using normalized partial names and matching locations.

data cleaningnull handlingJoinsWindfall Data

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2
Behavioral & Leadership6 questions · ~48 min
Data vs Stakeholder IntuitionMedium

Tests conflict resolution and influence when a candidate must defend data-driven recommendations against stakeholder intuition.

Influence Without AuthorityConflict ResolutionStakeholder ManagementPattern
Prioritizing Competing Data RequestsMedium

Tests prioritization under pressure in a data engineering context, including stakeholder management, trade-off decisions, and ownership of outcomes.

Decision MakingStakeholder ManagementPrioritizationPattern
Building APIs for E-commerceMedium

Assesses your ability to design and apply APIs to support data-driven e-commerce use cases.

APIsPattern
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The finish line: interview-readyComplete all 11 questions plus 3 hands-on drills to finish this plan.