Table of Contents
- Start here
- Accessing raw data
- Data transformation
- Downstream use cases
- Building a data team
- Joining a data team
Building a data team
There is no one-size-fits-all way to structure your analytics function.
Given the pace of technological change in our industry, it’s fair to assume that your data team structure will need to iterate and evolve over time.
Contained in this section are a handful of stories of how data teams have walked this path over the past few years, to help you answer questions like:
- How do you divide roles & responsibilities between analytics engineers, analysts + data engineers?
- Should our data team be centralized or decentralized?
- How are the best teams interviewing + hiring analytics engineers?
- When’s the right time to hire a data engineer?
Thanks to the many teams who shared their stories in this section.