Possibly a dumb question but of those roles who is then responsible for producing standardised reports and dashboards? Does that fall to analytics engineers, or data analysts, or a bit of everyone?
Our "# of analytics engineers : total data team size" ratio is: 1:1
:P
We'll be moving that ratio in the future but it'll likely stay at something like 1:2 forever, or at least for a long time. There are very interesting implications of this ratio, I 100% agree with you. You can read in our ratio our level of belief in self-service analytics, enablement of this, and overall pipeline quality. Also the belief that analytics engineers can flex into the downstream analytics space.
That's really interesting. I bet it also has to do with dbt having a high degree of data literacy outside the data team, so there may be less need for e.g. data analysts to make sense of data
Possibly a dumb question but of those roles who is then responsible for producing standardised reports and dashboards? Does that fall to analytics engineers, or data analysts, or a bit of everyone?
Good question. Typically data analysts would do most of this
Our "# of analytics engineers : total data team size" ratio is: 1:1
:P
We'll be moving that ratio in the future but it'll likely stay at something like 1:2 forever, or at least for a long time. There are very interesting implications of this ratio, I 100% agree with you. You can read in our ratio our level of belief in self-service analytics, enablement of this, and overall pipeline quality. Also the belief that analytics engineers can flex into the downstream analytics space.
That's really interesting. I bet it also has to do with dbt having a high degree of data literacy outside the data team, so there may be less need for e.g. data analysts to make sense of data
excellent viewpoints, we have also written about this challenge: https://medium.com/data-ops/warring-tribes-into-winning-teams-improving-teamwork-in-your-data-organization-7dfc97109e8e