
Tips on Analytics Engineering
| Platform | Pricing | Only free issues | Publishes | Monthly | |
|---|---|---|---|---|---|
| Issues | 19 | Founded | 3 years ago | Last Issue | 4 months ago |
| Active | |||||

Recently, I asked my followers on LinkedIn:
“Which part of the interview process feels the hardest?”
Here are the top three answers:
Data modeling (65%)
Technical round (49%)
I’m not sure what companies expect (32%)
The...
A few weeks ago, I stumbled on a job posting for an Analytics Engineer position that left me frustrated. The company wanted everything at once: machine learning, statistics, data structures and algoritms — basically an entire data team pack...
In the previous post, I discussed the first two important principles of robust data modeling:
📈 scalability, and
♻️ reusability.
In this post, I'll explore the other two critical principles:
⚡️ performance, and
✅ d...
One of the main values analytics engineers provide is building a robust system of data models that supports the decision making process of the business.
This system holds on four key principles:
📈 scalability
♻️ reusability...
Have you ever encountered a mysterious error while working on a dbt project and couldn't figure out its source? I've been there too.
Some errors are easy to fix — usually caused by that one tiny change you just made. But others? Sometimes...
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The writers behind this newsletter.
Senior Analytics Engineer
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