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Data Analyst Interview Preparation

Practice SQL, Python, Statistics, and case study rounds for Data Analyst interviews with AI mock sessions.

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📌 About Data Analyst Interviews

Data Analyst interviews test SQL proficiency, Python/Excel skills, statistical thinking, and the ability to derive business insights from data. Companies like Flipkart, Amazon, Swiggy, and Zomato hire thousands of data analysts every year.

🔄 Interview Rounds
🧠
Aptitude / Analytical Reasoning
Quantitative aptitude, data interpretation, and logical reasoning. Speed is key.
🗄️
SQL Round
Write complex SQL queries — JOINs, subqueries, window functions (RANK, LAG, LEAD), GROUP BY.
🐍
Python / Excel Round
Pandas, NumPy, data cleaning, pivot tables. Sometimes replaced by Excel for non-tech companies.
📈
Case Study / Statistics
A/B testing, hypothesis testing, p-values, regression concepts. Present insights from a dataset.
📚 Key Topics to Prepare
SQL (Joins, Subqueries, Window Functions)
Python Pandas & NumPy
Statistics (Mean, SD, Distributions)
A/B Testing & Hypothesis Testing
Data Visualisation (Tableau/Power BI)
Excel & Pivot Tables
Business Metrics (CAC, LTV, Churn)
Logical Reasoning
💡 Expert Tips
❓ Frequently Asked Questions
Is coding required for a Data Analyst interview? ▼
Python (Pandas) is increasingly required. SQL is mandatory. Excel is still used in non-tech companies.
What SQL topics are most important? ▼
JOINs, GROUP BY, HAVING, window functions (RANK, LAG), and CTEs are tested most frequently.
What is the Data Analyst salary in India? ▼
Entry-level: ₹4–8 LPA. Mid-level (2–4 years): ₹10–20 LPA. Senior: ₹20–40 LPA at product companies.

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