Analyst roles demand rigorous data thinking combined with business judgment. You need to decompose ambiguous problems into measurable hypotheses, diagnose root causes in complex datasets, and quantify business impact — and you need to do it under interview pressure.
Analyst Interview gives you that practice. Our AI coach challenges you with realistic analytics cases — from diagnosing revenue slowdowns to optimizing unit economics — and gives you structured feedback on your metrics selection, decomposition rigor, and analytical frameworks.
How it works
- Practice analytics cases modeled on real interview questions from top companies
- Get AI-powered feedback on your metrics decomposition, root cause analysis, and data reasoning
- Build skills across unit economics, cohort analysis, trend diagnosis, and business metrics
- Track your progress across 20+ analytics competencies with adaptive difficulty
Why analytics needs dedicated prep
Analytics interviews test whether you can investigate ambiguous business problems using data. Generic interview prep doesn't cover unit economics frameworks, cohort analysis, or the metrics intuition that analytics teams expect.
Our AI doesn't accept vague answers. It pushes you to quantify your hypotheses, defend your prioritization, and trace causality through complex systems — exactly what interviewers at companies like Google and Stripe are evaluating.
Built for aspiring analytics professionals
Whether you're targeting business analyst roles at tech companies, transitioning into data analytics from engineering or product, or preparing for senior analytics leadership positions, Analyst Interview helps you build the analytical and quantitative skills that drive career impact.