Are You Bringing Data Practitioners to the Rooms Where Decisions Are Made?

Your company has one definition for revenue across the organization, one definition of the customer, and one definition of sign-up. For people whose jobs are so defined by ensuring we're aligned, we can't seem to standardize on one definition for the Data Scientist.

In this talk, Emilie Schario (Data Strategist-in-Residence at Amplify Partners and longtime dbt community member) proposes we lobby against the title Data Scientist, instead choosing some variation of the Core Four Data Roles: Data Analyst, Analytics Engineer, Data Engineer, and Machine Learning Engineer.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.