The CV looked perfect. The interview went well. Three months in, you are still explaining what the acronyms mean.
It is not that the person was dishonest, or that the agency did anything unusual. It is that the whole model is built to optimise for the wrong thing: a keyword match on a CV, filled quickly. Nobody in that chain was responsible for whether the person could actually do operational data work in your world.
You are not hiring a CV. You are buying an outcome.
A list of tools on a resume tells you what someone has been near, not what they can deliver. The questions that matter are harder to keyword-search. Can they take a vague request from a manager and turn it into the right answer? Do they understand the difference between a number that is correct and a number people will trust? Have they done this in a business that looks anything like yours?
A specialist with a team behind them beats a lone generalist.
The riskiest hire is a single capable person dropped into a specialist gap with nobody behind them. When they get stuck, there is no one to ask. When they leave, the capability leaves with them. You have bought a single point of failure, and paid a premium for it.
A data specialist with no one behind them is a single point of failure you are paying a premium for.
Our model is the opposite. We place specialists who are backed by the whole practice, so the person in your business has a team of analysts, engineers and trainers behind them. You get the embedded specialist you wanted, without the key-person risk you did not.
Need a data specialist who actually fits?
We embed specialists backed by the whole team, so you get the capability you need without the key-person risk.