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Data & AI

Numbers you can act on

Analysts, engineers and AI specialists from the top 0.1% of global talent. Vetted with a take-home against a deliberately messy schema. Hired in about seven days.

Month-to-month · Replacement guaranteed · Start in a week

A data analyst working remotely

Departments

Customer support Data & AI Design Finance & accounting Marketing Sales Software engineering VAs, admin & operations

Roles we fill in data and AI

From the first dashboard nobody trusts through to a warehouse that closes the month on its own.

Data analyst

Writes the query, checks it against the source and delivers an answer with the caveats stated up front.

Hire analysts

Analytics engineer

Owns the dbt layer so every team reports the same revenue number from the same definition.

Hire analytics engineers

Data engineer

Builds and maintains the pipelines, and gets paged when they break rather than finding out from you.

Hire data engineers

BI developer

Turns the warehouse into dashboards people actually open, and retires the twelve that nobody does.

Hire BI developers

ML engineer

Ships models into production with monitoring attached, not notebooks that only run on one laptop.

Hire ML engineers

AI automation specialist

Finds the repetitive work inside your operation and automates it with tooling your team can maintain.

Hire AI specialists

Fluent in the stack you already run

Candidates are tested in your warehouse and BI stack before they reach you, not trained on it afterwards.

SQL Python dbt Snowflake BigQuery Looker Power BI Tableau Airflow

How we vet data talent

Tested on messy data, not tidy exercises

Data candidates run an additional technical stage on top of our standard eight-step funnel.

  • A timed SQL exercise against a schema with real inconsistencies in it
  • Pipeline design review with a working data engineer
  • Dashboard or model critique, judged on the questions they ask
  • Reference check with a previous data lead, not just HR

1 in 1,000

Applicants placed into a data role.

5 yrs

Average experience of a placed data candidate.

7 days

From discovery call to a start date in your stack.

Data hiring questions

Can they work in our existing warehouse?

Yes. Tell us the stack on the discovery call and we shortlist people who have shipped in it, rather than people who have read about it.

Do we need an analyst or an engineer?

Describe the work rather than the title. If the answers are slow because the data is wrong you need an engineer first, and an analyst second.

How do you protect sensitive data?

Confidentiality terms are signed before day one, access is scoped to what the role needs inside your own systems, and background checks are completed before placement.

Can they build AI features, not just dashboards?

Some can. Our ML and automation candidates are vetted separately on production work, and we will tell you which category a person falls into.

Get started

Trust the numbers again

Tell us what you cannot currently answer with your data. We will come back with people who can fix it, and what they cost.

Hire data talent Talk to us first
Month to month No lock-in contract, cancel with 30 days notice.
Replacement guaranteed If the fit is wrong we replace them at no cost.
Start in a week Roughly seven days from first call to first day.