Preparing for a data analyst interview
What data analyst interviews usually cover, and how to prepare for technical, case and behavioural questions.
EvoAstra team14 Nov 2026 · 3 min read- Expect SQL, Excel or Python and statistics questions
- Practise explaining your projects clearly
- Case questions test structured thinking more than exact answers
Data analyst interviews usually combine technical tests, questions about your projects and business case discussions. Preparation in each area makes a big difference.
- Days 1-4SQL practice every day
- Days 5-7Excel and Python refresh
- Days 8-10Statistics and case questions
- Days 11-13Mock interviews and project stories
- Day 14Rest and review
Technical skills
- SQL: joins, grouping, window functions and tricky filters
- Excel: lookups, pivot tables and charts
- Python or R: data cleaning and analysis
- Statistics: averages, distributions, A/B testing basics
Your projects
Be ready to explain each project in two minutes: the problem, data, approach, result and what you would improve. Expect follow-up questions about choices you made.
- 1Clarify the goal
- 2List possible causes
- 3Pick data to check
- 4Analyse
- 5Recommend
Business cases
You might be asked why sales dropped last month or how to measure a new feature's success. Structure your answer, ask clarifying questions and think aloud.
Behavioural questions
Prepare stories about teamwork, deadlines, mistakes and learning. Use the situation, task, action and result structure.
- Research the company
- Review job description
- Prepare questions to ask
- Test your setup for online interviews
- Arrive or log in early
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