n this engaging conversation, Bolaji, Lauren, and Paige explore their diverse journeys in the data analytics field, discussing their career paths, the accessibility of data science, and the importance of collaboration and communication within data teams. They share personal experiences with data disasters, technical challenges, and the ever-present imposter syndrome. The discussion also highlights the significance of mentorship, building trust in data, and the skills necessary for aspiring data professionals, culminating in reflections on future aspirations in their careers. Takeaways:

• Data analytics careers often start from unexpected backgrounds.
• SQL is a fundamental skill that is accessible to many.
• Imposter syndrome is common among data professionals.
• Collaboration and communication are key in data teams.
• Building trust in data requires rigorous testing and validation.
• Mentorship plays a crucial role in career development.
• Data disasters can lead to valuable lessons.
• Technical challenges often require continuous learning.
• Documenting achievements can help combat imposter syndrome.
• Future aspirations can include mentoring and skill development.

 

Building in Public: The Best Way to Learn Data.

We’ve always believed the best way to get better at data is by sharing what you’re learning. That’s why we built the dbt Community—a place where data pros at every level can ask questions, debate ideas, and push each other forward.

  It’s not just about solving today’s problems—it’s about building what’s next, together.

• Crowdsource solutions—70,000+ people who’ve been there, done that.
• Find your crew—meet others who use the same tools you do.
• Stay at the cutting edge—discussions, meetups, and game shows keep things fresh.

👉 Jump in and say hi—join the dbt Community now.