Learn Domain Knowledge for Data Analysis - Beginner Guide

Join my Academy, learn Data & AI skills and land a job👇 https://go.analyticsautomation.academ... Strong in SQL or Python, yet still no job or value provided to a company? Turns out, domain knowledge is the missing link to real business value. In this video, I explain why strong technical skills alone won't land you a data analyst job without domain knowledge. I break down key business metrics across finance, sales, marketing, and product to show how to add real value. 💬 CONNECT WITH ME Connect on Linkedin 👉   / lorenzo--rosa   DM me on Instagram 👉   / loresowhat   📩 Get in touch: [email protected] 🔎 CONTENT 0:00 Introduction to Domain Knowledge in Data Analytics 1:31 Importance of Business Metrics and Domain Knowledge 3:18 Overview of Key Business Areas and Metrics 3:41 Financial Metrics: Revenue and Basic Calculations 7:02 Financial Metrics: Gross Margin, Operating Margin and Cash Burn 11:13 Financial Metrics: EBITDA Explanation and Calculation 12:44 Sales Metrics: Importance and Pipeline Coverage Ratio 14:20 Sales Metrics: Win Rate, Average Deal Size, and Sales Cycle Length 18:57 Marketing Metrics: Customer Acquisition Cost (CAC) 21:06 Marketing Metrics: Marketing and Sales Qualified Leads (MQL & SQL) 22:57 Marketing Metrics: Return on Ad Spend (ROAS) 24:42 Product Metrics: Introduction and Activation Rate 26:59 Product Metrics: Retention Rates and Feature Adoption 29:59 Product Metrics: Weekly vs Monthly Active Users and Conclusion 31:33 Video Summary and Final Thoughts #BusinessMetrics #DomainKnowledge #DataAnalytics