I think it is interesting to draw the parallels between a data team and a product team, to help understand the roles and responsibilities of the team and the individual team members. However, I wouldn’t take the analogy as far as this. A modern data stack is simpler to learn than a modern product stack, so therefore less specialism in roles is required. The analysts I work with do everything from ETL to iterating the data product with business users. They do tend to specialise in a business domain, but even that I think is not ideal in the long run.
I've loved, thank you very much for this, super usefull and also helped me a lot to writh some GlassFrogs Proposals to move forward the Data Circle here. Subscribed!
I think it is interesting to draw the parallels between a data team and a product team, to help understand the roles and responsibilities of the team and the individual team members. However, I wouldn’t take the analogy as far as this. A modern data stack is simpler to learn than a modern product stack, so therefore less specialism in roles is required. The analysts I work with do everything from ETL to iterating the data product with business users. They do tend to specialise in a business domain, but even that I think is not ideal in the long run.
Excellent!
Loved this!
I've loved, thank you very much for this, super usefull and also helped me a lot to writh some GlassFrogs Proposals to move forward the Data Circle here. Subscribed!