Alter Everything 184: Mastering Data Careers
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May 7, 2025 Avery Smith, founder of Data Career Jumpstart and host of the Data Career Podcast, transforms his journey from chemical lab technician to data analyst into a roadmap for career changers. He unveils the SPN method—Skills, Projects, Networking—as vital for breaking into data fields. The conversation highlights the importance of mastering tools like Excel and SQL while networking creatively. Avery shares how AI can enhance learning and upskilling, reminding listeners that human talent still reigns supreme in the evolving data landscape.
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From Lab Technician to Data Analyst
- Avery transitioned from chemical lab technician to data analyst by self-learning and demonstrating value at work.
- He secretly built a reporting tool which led to his role shift to data analyst full time.
The SPN Method to Landing Jobs
- Landing a data job requires Skills, Projects (portfolio), and Networking—the SPN method.
- Skills alone won't get the job; projects show proof, and networking grants access to opportunities.
Essential Skills to Learn First
- Start building data skills with Excel, then SQL, and Tableau for ease and demand.
- Python is powerful but has a steeper learning curve, so consider it after mastering the basics.