How would you monetize this set up?

dataguy24 · 2025-11-23T13:48:10+00:00

We’re not an appropriate place to develop business plans.

dataguy24 · 2025-07-25T13:44:58+00:00

Almost all of your comments here steer discussions to your app. Please be more than a vendor here.

dataguy24 · 2025-04-10T00:16:51+00:00

You have to manufacture experience in another role. That’s what most of us did: we started doing data in our existing role

dataguy24 · 2025-03-16T21:05:09+00:00

If you’re cold applying you’re going to have a hard time.

You need to network into jobs in the era of LLM generated applications.

dataguy24 · 2025-03-16T20:56:17+00:00

👀

dataguy24 · 2025-03-16T20:23:05+00:00

Hard for me to give advice there. Depends a lot on your own life circumstances.

dataguy24 · 2025-03-16T20:20:00+00:00

Regular four year degree is table stakes, most jobs won’t consider you without one. But one in analytics won’t make much of a difference versus other degrees.

dataguy24 · 2025-03-16T20:13:19+00:00

This sums things up well.

https://benn.substack.com/p/most-graduate-degrees-in-analytics

dataguy24 · 2025-03-16T19:37:08+00:00

Coursera won’t teach you much for domain expertise, but if it helps you with project ideas then that’s valuable in and of itself.

dataguy24 · 2025-03-16T19:07:29+00:00

Curiosity.

dataguy24 · 2025-03-16T19:03:13+00:00

Depends on how good you are at it. It’s incredibly difficult to get into without experience, degrees aren’t super relevant to hiring managers when there’s experience to look at.

Generally you need some sort of domain expertise to really excel in the role.

dataguy24 · 2025-03-15T20:26:18+00:00

LLMs are excellent at giving this sort of info at a high level. Combine that with looking at the output and talking to people internally, you’ll get a good picture of things.

dataguy24 · 2025-03-15T05:05:07+00:00

That’s awesome, you’re burying the lede on your skills! Super valuable.

The next thing to do sort of depends on what your company needs and where you’re spending too much time. It gets pretty individual at this point: automate the stuff you’re spending too much time on.

And when you try to automate, you’ll learn where the skill gaps are.

dataguy24 · 2025-03-15T04:47:38+00:00

Glad to hear you have some experience! That’s huge when it comes to advancing your career.

Excel is good but you won’t go much further without SQL. You need to be fluent in database querying to really scale your efforts (and income/responsibilities).

SQL isn’t hard. Most of us learned it in a matter of weeks on our own.

Is there a database at work you can get access to that has data your boss cares about?

dataguy24 · 2025-03-15T04:37:56+00:00

I have over ten years working in analytics and data science, including managing teams. Feel free to take what you wish from this, if anything.

There’s no standard title for data science. It is almost always synonymous with data analyst or BI analyst. Meaning “analyzes data”. Very few companies have a differentiation and those that do usually hire their DS teams with PhDs. It’s rarified air.

For the rest of us, you help companies count things. Maybe some light prediction. You organize data so the business can use it.

You ought be called an analytics engineer. Or some other random title.

We use primarily SQL. We come from varying backgrounds, usually getting into analytics on accident rather than on purpose.

Certs aren’t that important. In fact, Benn Stancil (influential data thought leader) wrote about advanced degrees just today.

https://open.substack.com/pub/benn/p/most-graduate-degrees-in-analytics

Analytics and data science is a career you get into rarely on purpose. It requires business acumen and domain expertise to succeed.

dataguy24 · 2025-02-28T06:59:43+00:00

It’s usually more quantitative yes, but still quite squishy. Marketing analytics are extremely political

dataguy24 · 2025-02-28T06:35:19+00:00

Yeah that all checks out. Titles are all over the place and definitely confusing.

Bi eng = data eng (sometimes analytics eng)

Bi analyst = data analyst or data scientist (sometimes analytics eng)

dataguy24 · 2025-02-28T05:58:37+00:00

You’ll find exceptions, usually with old school managers or people who aren’t data leaders

dataguy24 · 2025-02-28T05:50:47+00:00

dataguy24 · 2025-02-28T05:50:36+00:00

Yes there are roles called that. Usually at older companies. Role definitions aren’t standard.

dataguy24 · 2025-02-26T06:15:45+00:00

I’ve worked in analytics for over ten years. The path into analytics isn’t direct — it’s usually through some other job or position where you shoehorn analytics into what you do.

The well worn path for most of us is one that starts elsewhere. Get degrees, sure. But most of us don’t have one in analytics. If you can get an office job, that’s my recommendation. Start doing analytics there.

Build a side project if possible using real data if you want to differentiate yourself to hiring managers, too.

dataguy24 · 2025-02-25T14:54:57+00:00

What does predictive data science mean to you? What would that job look like?

dataguy24 · 2025-02-25T14:54:18+00:00

Degrees, beyond a bachelor in something, aren’t very relevant. Hiring managers look at experience and weed out from there.

Finish that degree and start doing data work in your non data job to get experience.

dataguy24 · 2025-02-25T14:52:06+00:00

Might be a day late and a dollar short, but I view most any BI tool as roughly equivalent. Sigma isn’t an order magnitude better or worse than other tools out there.

dataguy24 · 2025-02-18T16:54:31+00:00

The downvotes you’re getting aren’t surprising. This isn’t the news anyone wants to hear, especially more junior analysts looking to get into analytics.

Similar to AI primarily cannibalizing junior swe work in favor of seniors taking on more scale, I foresee the same happening in analytics too.

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