The data infrastructure is only as useful as the people using it. In this section, we’ll talk about how to build an equally strong analyst team. Setting a Vision for the Team

Now that the infrastructure is rebuilt, in part 2 we’ll talk about how to build and manage a high performance data engineering team.

But from the company’s massive growth were huge growing pains on the analytics side. Every team needed urgent data support and had a lack of visibility into their ownership areas. But Wish’s analytics capabilities were still in its infancy and couldn’t keep up with the demand.

A look at building analytics from the ground up at a mid-sized start-up and some of the challenges faced along the way