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Data Analyst Interview Prep

An interview prep path for data and business analyst loops. SQL-first, reinforced with the applied statistics and experimentation analysts are expected to reason about, plus data fundamentals and the communication-heavy behavioral themes analyst interviews screen for. Minimal algorithmic coding.

Data AnalystJunior~35h5 sections7 items
Section 1 of 5

SQL and data querying

Analyst interviews are SQL interviews. Drill joins, aggregation, window functions, and query reasoning here, then practice writing real queries in the SQL Playground.

  1. 01MCQDatabases questions (30 suggested)Multiple choice category
Section 2 of 5

Applied statistics

Analysts must read data correctly: distributions, significance, confidence intervals, and the correlation-vs-causation traps that trip people up in case rounds.

  1. 01MCQStatistics questions (25 suggested)Multiple choice category
Section 3 of 5

Experimentation

Reasoning about A/B tests and metrics is a common analyst case. Cover experiment design, picking metrics, and the standard pitfalls.

  1. 01MCQA/B Testing questions (20 suggested)Multiple choice category
Section 4 of 5

Data fundamentals

How data is modeled, moved, and warehoused - the pipeline context behind the tables you query.

  1. 01MCQData Engineering questions (15 suggested)Multiple choice category
Section 5 of 5

Behavioral: communication and impact

Analyst loops screen hard for turning data into a clear, actionable story for non-technical stakeholders. Bring examples with concrete business impact.

  1. 01BehavioralCustomer Obsession (Amazon Leadership Principle)Behavioral · Amazon LP
  2. 02BehavioralDealing with AmbiguityBehavioral · General
  3. 03BehavioralOwnership (Amazon Leadership Principle)Behavioral · Amazon LP

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