Author

Emilie Schario

Data Strategist in Residence @ Amplify Partners

Emilie has spent her career scaling data and analytics functions while being responsive to the hypergrowth of the business. She is a contributor to many open source projects including dbt, Meltano, and GitLab. When not at her day job, Emilie can be found in her local CrossFit box or volunteering with Operation Code, codebar, TechSAV, or MilSpouse Coders.

Recent Posts

Guide to writing analytics engineer and data analyst job descriptions

Emilie Schario 4 May 2022

Guide to writing analytics engineer and data analyst job descriptions

Learn how to write job descriptions for data analysts, engineers, and other data roles from Emilie Schario (30/60/90 day onboarding plans included)

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Emilie Schario 7 Dec 2021

Down with 'data science'

I propose 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.

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Brian de la Motte | Emilie Schario | Francisco Lozano | Laurie Voss 12 Dec 2020

Data dream teams: Netlify

Watch Emilie Schario, Laurie Voss, Francisco Lozano and Brian de la Motte's talk replay from the Coalesce analytics engineering conference in 2020.

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Emilie Schario | Taylor A. Murphy, PhD 12 Dec 2020

Run your data team as a product team

Watch Emilie Schario and Taylor Murphy's talk replay from the Coalesce analytics engineering conference in 2020.

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There is no such thing as a “non-technical” data analyst

Emilie Schario 29 Oct 2020

Opinion

There is no such thing as a “non-technical” data analyst

Translating business logic into code is technical knowledge. Building a marketing attribution model, forecasting, or calculating MRR is technical knowledge. Understanding the inner workings of the business is technical knowledge. So...is there such a thing as a non-technical data analyst?

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