How to become a Business Intelligence Analyst
summary
Explains a concrete path from food photographer to senior BI roles at Nike and PlayStation by learning Excel, SQL, Python and Tableau, using cloud (AWS/Redshift) and Git, and building end-to-end projects; automates 50 reports in three months, wins nine job offers in 2019 and quadruples pay by showing dashboards on standard datasets and linking SQL pipelines to Tableau/Power BI; emphasizes resume/LinkedIn tweaks, talent agencies, and projects over formal degrees.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 1:15From photography to data
- 3:24Career journey and training
- 6:57Overview of BI
- 8:37The BI life cycle
- 13:06The BI tech stack
- 15:29Value of automation
- 19:45Landing your first job
- 22:56Learning and project tips
- 27:01Resume and networking
- 34:02Q&A and conclusion
related talks
26mHow to Break into Business Intelligence & Data Analytics
29mExploring Tech Career in Data Analytics and Science
14mTake a self-taught journey into the world of Data
51mData Analyst in Game Dev: How to Enter the Industry Through Mathematics
23mMy story as a data viz freelancer - ups, downs and lessons learned
19mHow to Get Noticed for Power BI Job Interview?
44mCareers in Data Science
07mWhere to start your Data Analytics Journey