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.
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.
Applied statistics
Analysts must read data correctly: distributions, significance, confidence intervals, and the correlation-vs-causation traps that trip people up in case rounds.
Experimentation
Reasoning about A/B tests and metrics is a common analyst case. Cover experiment design, picking metrics, and the standard pitfalls.
Data fundamentals
How data is modeled, moved, and warehoused - the pipeline context behind the tables you query.
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.
Browse other learning paths
Three role-targeted paths are live: Backend, SRE / DevOps, and ML Engineer. More are on the way - if you have a role you want covered, let us know.
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