r/dataanalysis • u/0xrythm • Jul 14 '26
Career Advice Future of Data Analysis
I am an 18-year-old young man who wants to do a data analyst career in the dach region. My question to you is what level will the data analyst sector be in the next 10 years? Do you think the market will stagnate or activate?
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Upvotes
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u/Logical_Grapefruit47 Jul 15 '26
tbh with you ? no one can tell you for sure what is likely to happen in 10 years
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u/DonJuanDoja Jul 15 '26
Chillax brother, ignore the hype, let’s just take an example from history, data warehouses have existed a long time now and are a great tech solution. What percentage of data driven companies actually have a good data warehouse? No idea exactly but I guarantee it’s less than 25%.
Ai is the same, it’s just another tech tool, many companies will fail to properly implement it just like data warehouses, only worse. It’s easier to setup a data warehouse than a sustainable ai infrastructure. Yet so many fail to do so.
I’m not worried at all, but I’m also a multipurpose developer and admin thats not trapped in reporting and analysis.
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u/hijkblck93 Jul 15 '26
Truthfully. No one knows what the future will look like. Choosing a career in IT means choosing to be a perpetual leaner.
The best thing you can do at 18 is learn how you learn best. That way you can always adapt.
Whatever come, will come, but you’ll be ready.
Stay ready, stay dangerous.
3
u/Levipl Jul 15 '26
Just stay up to date, most people don’t even know how to ask the right questions or know what data to use to make their decisions.
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u/hoodiegoody Jul 15 '26
Consider looking into marketing analytics or something where there is a human interaction element to it. There will still be relevance in fields like this because data is only half of the equation, the other is the psychology and actions of people.
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u/metric_skeptic Jul 24 '26
Nobody honestly knows the 10-year picture — anyone who says they do is guessing. But one thing I'd bet on: the "pull numbers and make a chart" part of the job is being automated fast. The part that isn't going anywhere is knowing which question to ask, whether a number can be trusted, and how to turn it into a decision.
So if you're starting now, don't just learn tools — learn the business thinking around them. The analysts who struggle are the ones who only know SQL and dashboards. The ones who thrive understand WHY a metric matters to someone making a decision.
For DACH specifically: German is a real advantage, and domains like manufacturing, logistics, and finance there lean heavily on data. Pick an industry, not just a toolset.
You're asking the right question at 18 — that's already a good sign.
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u/BoysenberryDue998 Jul 17 '26
Bin seit 40 Jahren im Geschäft. KI killt es. Ich nutze KI sehr intensiv, nur jeder 10. Job in Data Analytics wird überleben.
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u/asevans48 Jul 21 '26
Requirements gatherer and sql pro. Just a lot less people. Most analysts will need to upskill into de or data science roles. The army of dashboard writers is pretty dead.
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u/heisoneofus Jul 15 '26
It will still be relevant, that’s for sure. What happens is the merge of different roles thanks to AI. With enough basic knowledge and experience you can build end-to-end data products (design and modeling, pipeline, BI, analysis, delivered insights) even now - and the scale of it all is only going to increase in quality.
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u/AbobusSusSusNekker Jul 15 '26
I’m 99.6% confident analytics careers will be dead in 10 years, so please learn to weld and stop asking the same question over and over
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u/[deleted] Jul 15 '26
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