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Updated weekly · Last refresh Oct 17

Starr Companies Data Analyst Interview Questions

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

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1
SQL & Data ManipulationStart here. 4 questions + 3 drills · ~62 min
Troubleshooting Missing Rows with JoinsEasy

Explain how INNER JOIN and LEFT JOIN affect missing records and when to use each while debugging data mismatches.

SubqueriesJoinsData WranglingStarr Companies
SQL Problem Solving With Sparse CluesHard

Evaluates structured troubleshooting and reasoning when requirements are unclear.

Problem SolvingsqlStarr Companies
String Concatenation With Type MismatchMedium

Assesses SQL data type handling and ability to fix type-related query issues.

sqlStarr Companies
SQL Joins FundamentalsEasy

Tests your ability to combine tables and reason about relational queries.

JoinsGroup ByAggregationsStarr Companies
Scenario-Based Business CaseHard
Practice
Practice drill

Aggregate project outcomes and present a defensible SQL-based business case analysis.

project experienceJoinsbusiness problemTikTok
Write SQL for a Specific ProblemMedium
Practice
Practice drill

Calculate each customer's completed 2025 order totals and classify customers by total value.

JoinsCTEsProblem SolvingEPAM Systems
SQL Problem SolvingMedium
Practice
Practice drill

Write SQL from scratch to summarize qualifying customer orders and classify spending levels.

JoinsData ManipulationProblem SolvingMicro1

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2
Behavioral & Leadership18 questions · ~144 min
Leading an End-to-End Analytics ProjectMedium

Tests ownership of an end-to-end analytics project, including cross-functional collaboration, technical judgment, and measurable business impact.

LeadershipOwnershipcollaborationStarr Companies
Owning a Submitted Analysis ErrorEasy

Tests ownership, self-awareness, and communication when a candidate finds a mistake in their own completed analysis.

failureOwnershipaccountabilityStarr Companies
Choosing Visualization Tools Under PressureMedium

Tests stakeholder-aware communication and data-driven judgment when selecting visualization tools for operational reporting.

softwareToolsdata visualizationStarr Companies
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 ManagementPrioritizationStarr Companies
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The finish line: interview-readyComplete all 22 questions plus 3 hands-on drills to finish this plan.