Full show notes, transcript and AI chatbot - https://bit.ly/4dtzBFh

Watch on YouTube - https://youtu.be/4yo-N2KM8rw

00:00:00 - Introduction
 00:01:00 - Veronica's Career Journey
 00:02:30 - Transition from Academia to Data Analysis
 00:04:00 - Regrets About Leaving Academia
 00:05:30 - Current Role as a Product Data Analyst
 00:07:00 - Skills Required in Data Analysis
 00:09:00 - Bridging Technical and Business Communication
 00:10:30 - Experience with Data Tools
 00:11:30 - Tech Stack and Tools Used
 00:13:30 - Data Culture in the Workplace
 00:14:30 - Project Collaboration with Measurelab
 00:15:30 - Overview of the Dataform Project
 00:16:30 - Choosing Between DBT and Data Form
 00:18:00 - Benefits of Dataform's Structure
 00:20:00 - Maintaining and Scaling Data Solutions
 00:23:00 - When to Use Dataform or DBT
 00:25:00 - AI's Role in Data Management
 00:29:00 - Learning and Adapting to AI
 00:32:00 - Conclusion and Final Thoughts
 00:49:00 - Closing Remarks and Encouragement

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Episode Summary:

In this episode of The Measure Pod, Dara and Matt are joined by Verónica Delgado-Benito to chat through her journey from molecular biology PhD to data analyst at Springer Nature. They cover everything from her time in venture capital at Project A, to the quirks of working in scientific publishing—and what it’s like to swap lab coats for dashboards. They also dig into a recent project we worked on together using Dataform to streamline reporting across Springer’s complex analytics setup.

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About The Measure Pod:

The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement—with a side of fun.

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The post #121 Using Dataform and DBT in modern analytics (with Verónica Delgado-Benito at Springer Nature) appeared first on Measurelab.