Hiring an analyst too early is an expensive way to learn that you did not have an analytics problem. Hiring too late means quietly making worse decisions than your competitors for a year. Neither mistake announces itself.
These are the five signals I have found genuinely predict that a business is ready, along with the ones that look convincing but are not.
1. The same number gets argued about in every meeting
Sales says the pipeline is worth two million. Finance says one and a half. Both pull up spreadsheets. The meeting spends twenty minutes on whose figure is right and ends without addressing what to do about it.
This is the clearest signal there is, and it is not really a data problem. It is a definitions problem, and it compounds. Every month it continues, more decisions get made on numbers half the room does not believe, and confidence in reporting erodes further.
It is also the fastest thing to fix, which makes it a good first engagement.
2. Someone senior spends a day a week in spreadsheets
There is usually one person, often an operations manager or a finance lead, who has become the unofficial analyst. Every month they export from three systems, paste into a master workbook, fix what broke, and produce the report everyone relies on.
Two costs are hiding here. The first is obvious: a senior salary spent on manual data assembly. The second is that this process exists entirely in one person’s head. When they take leave, reporting stops. When they resign, it is a genuine crisis.
If you can name that person immediately, you have found your case.
3. You keep being surprised by things you should have seen coming
A major client churns and nobody noticed their usage had been falling for four months. A product line has been unprofitable since a supplier price rise, and it took a year-end review to surface it.
The information was in your systems the whole time. Nobody was looking, because looking was nobody’s job. Surprises of this kind are the running cost of not having an analyst, and they are usually far larger than the salary.
4. Decisions get made on instinct that used to be made on knowledge
Early on, a founder genuinely knows the customers. At thirty customers you can hold the whole picture. At three thousand you cannot, but the habit of deciding from intuition persists, and it now runs on a sample of whoever complained most recently.
The tell is a sentence like our customers mostly want X, where nobody in the room can say how that is known. Instinct built on real pattern recognition is valuable. Instinct standing in for information you could easily have is a slow leak.
5. You have data nobody has ever opened
Years of transactions, support tickets, web analytics, product events. It accumulates because systems record by default. If nobody has queried it in twelve months, you are paying to store an asset while getting none of its value.
This one comes with a caveat: volume alone is not readiness. Three years of inconsistent, undocumented data may need serious cleanup before it yields anything. But it does mean the raw material exists.
Signals that look convincing but are not
- A competitor hired one. Their constraints are not yours.
- You want to use AI. A worthwhile goal, but it is a destination, not a reason. The first year of work will be foundations regardless.
- You reached a headcount milestone. Company size predicts readiness far less reliably than decision complexity.
- The board asked for better reporting. Sometimes real, sometimes a request for nicer slides. Worth clarifying which.
Hire, or start with a project?
If you recognised three or more of the five signals, something needs to happen. Whether that is a permanent hire is a separate question.
A full-time analyst makes sense when there is continuous demand: recurring reporting, ongoing questions from several departments, systems that keep changing. A defined project makes more sense when the need is a specific piece of work, such as establishing definitions, building a first reporting layer, or answering one important question properly.
Many companies benefit from starting with the project. It fixes the most painful problem quickly, and it reveals how much ongoing demand actually exists, which makes the hiring decision an informed one rather than a guess.
If any of this sounds like your business, I am happy to talk it through. Sometimes the honest answer is that you are not ready yet, and that is worth knowing too.