Analytics Engineering

Emilie Schario 4 May 2022

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

Erin Vaughan | Janessa Lantz 29 Oct 2019

The data team is a brand new thing: it’s not IT, it’s not finance...so who does it report to? How big is it?

Claire Carroll 16 Oct 2019

Analytics engineers provide clean data sets to end users, modeling data in a way that empowers end users to answer their own questions.

Erin Vaughan | Janessa Lantz 13 Aug 2019

How to screen for curiosity when making your next analytics engineering hire (example interview questions included).

Tristan Handy 2 Jan 2019

The role of the data engineer in a data team is changing rapidly. Are you thinking about it the right way?

Christine Berger

Git is the version control system of choice for data teams worldwide - see how we wield it internally at dbt Labs.

Two fundamental technological advances, ETL tools and cloud data warehouses, enable analytics engineers to practice the ELT workflow.

Follow the career path of Adam Stone, an analytics engineer on Netlify's data team.

Find your next analytics job. Open roles listed for data analysts, analytics engineers, data engineers, data scientists and ML engineers.

Erin Vaughan | Janessa Lantz

Over the last four years, the data team at Snaptravel has grown from one analyst to almost a dozen, and they've experimented with five data team structures.

Data testing helps your analytics team move faster - let's explore what to test, and when to test it.

Christine Berger | David Krevitt | Randy Pitcher

Explore practical examples of modular data modeling techniques from traditional to modern and modular techniques.

Exploring how we use data notebooks internally on the team, and how platforms like Hex & Querybook are making SQL-based notebooks a reality.

We've all heard the buzz, but how does implementing a reverse ETL tool actually improve your operational analytics work in practice?

The tale of migrating from a stored procedure-based ELT workflow to an ELT data transformation workflow on BigQuery, and the 3x productivity gains that ensued.

Reporting quality can make or break your data team's reputation - will your colleagues cherish your visualizations, or question their validity?

Follow the career path of Tom Nagengast, an analytics engineer on Netlify's data team.

Organize your organization's information with a high-quality data documentation process.

Mila Page

In 2016, Tristan Handy wrote about the need for data analysts to start working like software engineers. How's that transition going?

Cleanly transformed data is table stakes for predictive modeling. How can analytics teams collaborate to make transformed datasets easily accessible?