Data Science and Analytics
Data science and analytics recruitment.
Data roles succeed when the person matches the problem. Reporting, modelling and infrastructure need different people, even when the job titles look alike.
Skills and stacks
What we screen for
These skills come up most often in our Data & Analytics briefs. Your calibrated brief decides which ones matter for your role.
Roles we hire
- Data engineers
- Analytics engineers
- Data scientists
- Data and BI analysts
- Data architects
- Heads of data
Our approach to Data & Analytics hiring
What makes this market hard
"Data scientist" covers everything from dashboards to research. Many teams need a data engineer before they need a scientist, and find out only after a hire struggles.
How we approach it
We pin down the problem the hire will solve first, and tell you if the role should be a different one. Screening then checks the candidate has solved that kind of problem before.
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Questions
Frequently asked
Other specialisms:
Which tools do you cover?
Common stacks across SQL, Python, Spark, dbt, cloud data warehouses and BI tools. We screen for the ones in your brief.
Can you help with a first data hire?
Yes, and we will help you decide which profile that first hire should be.
How do you assess data candidates?
Against a scorecard agreed with you: the problems they have solved, the data scale they worked at and how they communicate results. See How We Work.
Hiring in Data & Analytics?
Tell us what the role needs to deliver. We will start with a calibrated brief.