Introduction In today’s data-driven world, the role of a Business Analyst (BA)  has evolved far beyond writing documents and gathering requirements. Modern organizations expect BAs to combine analytical thinking, technical fluency, and business acumen to drive measurable outcomes. Whether it’s improving a conversion funnel, automating a reporting process, or defining KPIs for new features — BAs are the bridge between strategy and execution. This “Top 50 Business Analyst Inter

Introduction This final section focuses on forecasting, applied business mathematics, and real-world problem-solving , where companies expect Business Analysts to use math and statistics to drive decisions. For roles offering ₹12 LPA and above, employers test not just formulas — but your ability to interpret numbers in business contexts like sales forecasting, ROI analysis, and KPI tracking. Each question below is designed to strengthen your logical thinking, improve your co

Introduction Once you understand descriptive statistics and probability, the next step in your analytical journey is learning how to test assumptions and model business relationships . That’s where hypothesis testing, regression, and forecasting  come in. In Part 2  of our series, we dive deep into the methods that Business Analysts use to validate ideas, uncover patterns, and make predictions . You’ll learn about null and alternative hypotheses, p-values, t-tests, ANOVA, reg

Introduction Mathematics and Statistics are the foundation of every Business Analyst’s problem-solving  toolkit. Whether you’re analyzing sales data, customer behavior, or market trends, these concepts help you translate raw numbers into meaningful insights. In Part 1 of our Top 100 Mathematics & Statistics Interview Questions for Business Analysts (12 LPA Ready)  series, we’ll focus on Descriptive Statistics and Probability  — the building blocks of analytical thinking. This

Introduction In today’s analytics-driven business world, financial understanding is no longer reserved just for accountants or investment bankers — it’s a must-have skill for Business Analysts  and Data Analysts . Whether you’re analyzing revenue trends, building dashboards for management, or evaluating business performance, knowing the language of finance helps you connect data with real business outcomes. At IOTA Academy , we believe that financial analysis is the backbone

In the world of business analytics, data is the foundation of every decision — and SQL remains the most essential skill for anyone aspiring to become a Business Analyst. Whether you’re working with structured databases like MySQL, SQL Server, or PostgreSQL , or unstructured systems like MongoDB , the ability to extract, clean, and analyze data efficiently is what differentiates a good analyst from a great one. This comprehensive guide — “Top 100 SQL, MySQL, SQL Server, Postgr

Learn how to use SQL Window Functions like ROW_NUMBER(), RANK(), LAG(), and SUM() OVER() to analyze data efficiently. Master SQL analytics and elevate your data skills. Introduction SQL is the cornerstone of data analysis and manipulation. While most users are familiar with SELECT, WHERE, and GROUP BY, few explore one of SQL’s most powerful and often underutilized features - Window Functions . If you've ever struggled to calculate rolling averages, rank items within groups, o

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