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Tips on Analytics Engineering

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Latest Issues

How to Prepare for an Analytics Engineering Interview

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...

4 months ago
35
2

What Analytics Engineers Actually Do?

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...

6 months ago
41
10

The Core Principles of Robust Data Modeling (Part 2)

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...

10 months ago
90
1

The Core Principles of Robust Data Modeling (Part 1)

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:

  1. 📈 scalability

  2. ♻️ reusability...

10 months ago
302
9

Debugging Errors in dbt: A Survival Guide

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...

a year ago
8

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  • Oleg Agapov

    Senior Analytics Engineer

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