What data hiring actually covers
It is rarely one profile. The brief gets sharper when you name the sub-area you are really hiring for:
- Data engineering
- Analytics and BI
- Analytics engineering
- Data platform
- Data governance
- Data architecture
What good looks like
Good data people build pipelines that do not break and models that serve real decisions. Look for platform thinking, reliability, and the judgement to know which numbers matter.
The best analytics engineers bridge raw data and the business, turning messy sources into something a team can actually trust.
How we hire for it
We define whether you need engineering (moving and modelling data), analytics (making it useful), or platform (making it scale), because those are different hires, then map specialists against the real stack.
We assess on genuine problems, not tool buzzwords on a CV.
In short
Separate engineering, analytics and platform needs, hire for reliability and judgement, and you get data people who are trusted, not just busy.