Data Analyst Interview Prep
SQL, case studies, take-homes and the questions that get asked.
Taught by Niraj Thapa · Analytics Lead
What you'll learn
- Describe each stage of a data analyst hiring loop and what interviewers score at each one
- Solve live SQL questions using joins, aggregation, CTEs, window functions and top-N-per-group patterns
- Structure a metrics case study from clarifying questions to a recommendation with trade-offs
- Complete a take-home assignment in a time box with a reusable notebook and a clear summary
- Explain p-values, confidence intervals, sample size and A/B test pitfalls in plain language
- Deliver STAR behavioural answers and negotiate an offer with a prepared range
About this course
Data analyst interviews follow a predictable pattern: a screening call, a live SQL round, a metrics or product case study, a take-home assignment, and a behavioural conversation. This course prepares you for each stage with the questions that actually get asked and a method for answering them. You will practise the SQL patterns interviewers love, including joins, aggregations, window functions and top-N-per-group; learn a structure for diagnosing a metric drop or designing a metric for a new feature; build a take-home notebook skeleton you can reuse under time pressure; answer statistics and A/B testing questions clearly; assemble a portfolio and CV that earn callbacks; and prepare STAR stories and a negotiation plan. It suits career changers and recent graduates who know basic SQL and Python and want a confident, well-rehearsed interview.
Course content
6 lessons- 1How Data Analyst Hiring WorksThe typical interview loop, what each stage measures, and a four-week preparation plan.Preview
- 2The SQL RoundThe query patterns that appear in almost every live SQL interview, and how to narrate them.
- 3Metrics and Product Case StudiesA repeatable structure for diagnosing a metric drop and for defining metrics for a new feature.
- 4Take-Home Assignments and Your PortfolioTime-boxing a take-home, a notebook skeleton you can reuse, and portfolio projects that earn callbacks.
- 5Statistics and A/B Test QuestionsThe statistics questions analysts actually get asked, and how to explain them without jargon.
- 6Behavioural Answers and the OfferSTAR stories with measurable results, the questions to prepare, and negotiating with a ready range.