Being An Analyst Today Is Harder Than It Was 20 Years Ago

This might be an unpopular take, but it’s one I keep coming back to in many conversations - I genuinely believe being an analyst today is way harder than it was 15 to 20 years ago. Do you agree?

Now, you might think we have better tools today - more automation, AI assistance, interactive dashboards, and plenty of other software to automate half our workflows, but that's exactly my point.

I'll admit, at a glance, it definitely feels like the analyst's job should be easier than ever. Data is accessible, reporting is faster, super-cool visualizations are generated in a few clicks, so how can the analyst’s role possibly be more challenging than before?

Well, frankly there’s only one answer to this and it's quite simple - When execution becomes easier, expectations don't stay the same. They rise.

Producing Data Is No Longer Enough

Years ago, there was a lot of value in simply producing information. If you could just gather data, analyze it, and present it with the help of a few charts and tables, you were already solving a problem many organizations struggled with.

Today, that's just the baseline.

Because technology has taken so much off our plates, leaders today assume that if everything is automated and dashboards are readily available, then analysts should be spending more time thinking. Right?

The question has shifted from "Can you produce the data?” to “What does it mean, and what should we do about it?”

I’m sure you've heard this plenty of times already - Analysts are increasingly expected to act as decision-support partners rather than information providers.

This means, identifying opportunities that were not explicitly asked for, connecting patterns across business functions, and highlighting any potential problems or risks before they even become visible on a dashboard.

In short, analysts are expected to answer questions people haven’t asked yet.

That alone raises the bar to a completely different level.

But surely automation can’t be the only reason leaders expect more from analysts . So the question is, what else has changed?

Well, here's my opinion in 4 points:

1. People Are More Informed

Once upon a time, data used to be scarce. But today it’s everywhere.

Which means, companies can't use that as a competitive advantage anymore, because almost everyone has access to heaps of information.

Leadership teams are constantly exposed to data through internal dashboards, external market reports, market intelligence, AI-generated summaries, business news….etc. And because they get access to some level of preliminary information, simply reporting what happened isn't enough anymore.

Leaders want more! They want to know what's changing, what they're missing, what risks are emerging, where opportunities exist…you get the idea. And that requires a level of analytical thinking that goes well beyond creating reports and dashboards.

2. Communication Has Become a Core Skill

Apart from just good technical skills and critical thinking skills, the other core skill analysts need to bring to the table today is Communication Skills.

This isn't just about simplifying complicated numbers and visuals. It's about tailoring the same insight for different audiences. Managers, directors, executives, and operational teams all have different priorities, different levels of context, and different time constraints.

Hence, the analyst who can create the most value isn't necessarily the one with the best technical skills, it's typically the one who can frame the problem better, identify the most relevant insight, and communicate it in a way that encourges action.

3. Attention Has Become Scarce

There is another under-discussed factor that we don’t talk about nearly enough: Attention.

Twenty years ago, analysts still dealt with complexity, but what they didn't have was the same level of distraction and cognitive fragmentation that we experience today. Today, our minds have to literally compete against an endless stream of notifications, emails, social media feeds, chat messages, and a hundred other digital distractions.

And needless to say, analytical thinking totally requires the opposite environment

It requires depth, focus and patience. It requires the ability to sit with a problem long enough to understand it from multiple angles. But, given the kind of environment we live in, where everything is about speed and constant interruption, that kind of focus is going to be a tough one to sustain.

4. There’s an Explosion of Data

And finally, there’s simply more data than ever before. Literally.

We no longer work with old-fashioned structured spreadsheets, or reports that used to magically land in our inboxes every morning. Current day analysts have to deal with a ton of data inputs coming from real-time data streams, datasets, AI outputs, and countless other sources.

As a result, the challenge has become less about access, and more about relevance. In short, knowing what to ignore has become just as important as knowing what to analyze.

And that's a very very very different skill.

So, what’s the bottom line?

Well, we have to agree, we're pretty much already living in what would have felt like the future a couple of decades ago. Tools are better, technology is faster, AI is unstoppable, and processes have become remarkably efficient.

So then, where does that leave the analysts?

Answer: Ironically, their role has become more demanding than ever.

Analysts now have to deal with more data, more expectations, more stakeholders and a lot more noise. The challenge has inevitably shifted from producing information to creating meaning.

And as a result, the role has quietly evolved from a function focused on technical execution (like it was 2000 years ago) to one centered on interpretation, influence, and supporting better decisions.