› Data, AI & Analytics
Measure What Matters.
Analytics, data and AI talent who turn messy data into decisions you can actually trust.
Disciplines
What we place in Data
Four specialisms that turn data into advantage — from the pipelines underneath to the AI on top.
Analytics
Marketing Analytics
Analysts who turn campaign data into clear, usable insight.
Engineering
Data Engineering
Engineers who build the pipelines your marketing data runs on.
MarTech
MarTech & Measurement
Specialists who make your stack measure what actually matters.
AI
AI & Automation
Practitioners who put AI and automation to practical work.
How we help
People, partners & platforms
Three ways we partner with you: the right people on your team, warm introductions to agencies we trust, and the platforms to power it all.
01
FAQ
Data questions
What marketing and data leads ask when deciding how to resource analytics, measurement and AI.
Analyst or data engineer first?
+
Hire the analyst first if you have data but no insight; the engineer first if your data is messy or trapped in silos. Most marketing teams feel the analyst gap soonest.
Do I need a person or a tool?
+
A tool surfaces numbers; a person tells you what they mean and what to do. Dashboards don't fix a measurement problem — someone who understands the business and the data does.
Is our attribution actually broken?
+
Probably partly — GA4, cookie loss and privacy changes have made last-click unreliable for everyone. Good hires move you toward modelled and incrementality-based measurement, not a perfect single source of truth.
What does an AI hire actually do now?
+
Beyond the hype: automating reporting, building workflows, and wiring AI into campaign and content ops. The valuable hires ship automation that saves the team hours — not slide decks about AI.
Dedicated marketing data or shared team?
+
Share the company data team while marketing's needs are simple. Hire dedicated once marketing's questions outpace the queue and attribution, MarTech and measurement need someone who lives in the marketing context.
How does Kindred place data talent?
+
We place vetted analytics, data engineering, MarTech and AI specialists across permanent, freelance and fractional — translating the spec into what you actually need. First intro within 72 hours.
The right people know people.
Join the Kindred network and tap the talent, partners and platforms you won't find on a job board.