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In this episode of Data Career Transformations, Bolaji interviews Kasey Mazza, an analytics engineering manager at HubSpot. Kasey shares her journey from actuarial science to analytics engineering, emphasizing the importance of merging technical skills with emotional intelligence. She discusses her approach to career growth modeled after the software development life cycle, her day-to-day responsibilities, and the significance of building teams like a community. Kasey also highlights the challenges of data management, the importance of fostering a learning culture, and how to measure the impact of data roles. Throughout the conversation, she offers valuable insights and advice for aspiring data professionals. ---
Speakers:
--- About the dbt Community:
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.
👉 Jump in and say hi—Join the dbt Community now. Takeaways:
Chapters:
In this episode of Data Career Transformations, Bolaji interviews Kasey Mazza, an analytics engineering manager at HubSpot. Kasey shares her journey from actuarial science to analytics engineering, emphasizing the importance of merging technical skills with emotional intelligence. She discusses her approach to career growth modeled after the software development life cycle, her day-to-day responsibilities, and the significance of building teams like a community. Kasey also highlights the challenges of data management, the importance of fostering a learning culture, and how to measure the impact of data roles. Throughout the conversation, she offers valuable insights and advice for aspiring data professionals. ---
Speakers:
--- About the dbt Community:
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.
👉 Jump in and say hi—Join the dbt Community now. Takeaways:
Chapters: