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Making Data Useful

How to Add Value as a Data Analyst

The journey to becoming a “real” data analyst

Cassie Kozyrkov
TDS Archive
Published in
7 min readMay 5, 2022

Let’s start with a quick summary of three common misconceptions about analytics:

  1. Analytics is statistics. (No.)
  2. Analytics is data journalism / marketing / storytelling. (No.)
  3. Analytics is decision-making. (No!)
Photo by Alexander Sinn on Unsplash

Misconception #1: Analytics versus statistics

While the tools and equations they use are similar, analysts and statisticians are trained to do very different jobs (learn more here):

Analytics helps you form hypotheses, improving the quality of your questions.

Statistics helps you test hypotheses, improving the quality of your answers.

Misconception #2: Analytics versus journalism/marketing

Analytics is not marketing. The difference is that analytics is about expanding the decision-maker’s perspective while marketing is about narrowing it.

Analytics is about expanding the decision-maker’s perspective…

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Cassie Kozyrkov
Cassie Kozyrkov

Written by Cassie Kozyrkov

Chief Decision Scientist, Google. ❤️ Stats, ML/AI, data, puns, art, theatre, decision science. All views are my own. decision.substack.com

Responses (10)

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the analyst acts as a sort of sensory organ for their decision-maker.

I love this metaphor. Really clarifies a concept a lot of folks find abstract and tricky.

I found this article very interesting and informative! You mention that analysts are one of three breeds of data science professional. What are the other two?

You've really opened my eyes to what an analyst truly is and making me rethink about how I look at data. Wonderful article.