
Data Career Podcast: Helping You Land a Data Analyst Job FAST 185: How I Would Become a Data Analyst in 2026 (if I had to start over again)
Nov 11, 2025
Discover the essential skills needed to break into data analysis, including the importance of Excel, Tableau, and SQL. Learn why Python can wait while you master quicker-to-learn tools. Explore various analyst roles and how to circumvent the experience barrier through personal projects. Find out where to source data for these projects and tips for showcasing your work effectively. Plus, get insider advice on optimizing resume and LinkedIn profiles for better job applications and interview prep strategies.
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Learn The High-Impact Trio First
- Learn the highest-impact, easiest-to-learn tools first: Excel, Tableau, SQL.
- Delay Python and other lower-demand, harder tools until after landing your first job.
Roles Vary By Domain More Than Skill
- Many analyst roles overlap and differ mainly by domain, not core skills.
- Financial and business analyst jobs are more common than generic 'data analyst' roles on job boards.
Use Your Domain Experience As An Edge
- Target analyst roles that match your prior domain experience to reduce competition.
- Use domain knowledge (e.g., healthcare, accounting) as an advantage when applying.
