Hi all :) looking to get into data, but I’ve only been reading hype and nice stuff. What are some of the reasons why one should NOT build/start their career in data?

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A few reasons:
1. Landscape is constantly changing. If you don't like learning new things monthly you won't keep up.

2. It's infuriating convincing a "trust-my-gut" CEO to listen to anything data-driven.

3. Data cleaning is not sexy, but it's always necessary. Prepare for way more time thinking about the less-glamorous parts of data.

4. You'll always be extracting insights from excel or legacy systems in most organizations, even if there's a data warehouse they brag about.

5. People expect immediate fixes when they start to rely on this, so if you don't set good expectations and boundaries you'll work evenings and weekends.

6. In construction, the painters come last and have to cover up everyone else's mistakes or get blamed for them. In tech, data & analytics come last and get to enjoy the blame for data quality issues, poor infrastructure choices, and other issues that came from upstream teams.

Flip side: If you love data, it's a really fun path and specialists will out-earn SWEs.

likesmart

#6 absolutely is a truism

Unless you don’t want to use data tools, there’s no reason to avoid going into data. Every company needs data professionals, and tons of career opportunities in it.
Only con - being a subject matter expert in a business topic will get you farther in a company (like supply chain or health or digital marketing) and switching across industries can sometimes hurt you in the long run.

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Hmmm. To go into Software Eng instead?

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Still a great career - just SWE is the highest pay and best career trajectory

helpful

While I agree with all of these points, I will say if you’re passionate about data (and more so how businesses use data to make informed decisions) and love learning, then it’s quite easy to move between competencies in the data world (you’ll find data analysts become data engineers or data scientists or data product managers or etc, and of course continue to move between those). Being a good data person requires a level of confidence and trust; if people don’t trust you then they’re not gonna trust your work output and in turn won’t trust the data. (People tend to be less forgiving sometimes in the data world bc they treat the raw data as the absolute truth of the business)

helpful

really impressed by the number and quality of responses that everyone gave. Thank you so much :)

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I really enjoyed reading the responses to this post, thank you, everyone

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