› Data, AI & Analytics
Measure What Matters.
Analytics, data and AI talent who turn messy data into decisions you can actually trust. From marketing analytics and measurement to data engineering, martech and AI, these are people who make your numbers reliable — and useful.
Disciplines
What we place in Data
Four specialisms that turn data into advantage — from the pipelines underneath to the AI on top. Whether you need a marketing analyst to make sense of GA4 and attribution or a data engineer to fix the plumbing, we introduce specialists we know personally and would trust with our own reporting.
Analytics
Marketing Analytics
Marketing analysts who turn campaign data into clear, usable insight — GA4, attribution, dashboards and the awkward questions. The people who make the numbers your team acts on ones you can actually trust.
Engineering
Data Engineering
Data engineers who build the pipelines your marketing data runs on — server-side tracking, a clean data layer, a CDP and the integrations that stop reporting contradicting itself.
MarTech
MarTech & Measurement
MarTech specialists who make your stack measure what actually matters — instrumenting tools, events and consent so what you report reflects what really happened.
AI
AI & Automation
Practitioners who put AI and automation to practical work — workflows, enrichment and decision support — with the judgment to know where it helps and where it is just hype.
How we help
People, partners & platforms
Most teams aren't short on data — they're short on people who can trust it and act on it. Kindred introduces the analysts, partners and platforms that turn messy numbers into decisions, with a first intro inside 72 hours.
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People
3 ways to hire
Permanent
Full-time analysts, data engineers and martech owners, vetted for the depth and judgement to make numbers trustworthy enough for the board, not just a dashboard.
Contract & Freelance
Tracking rebuilds and measurement projects — freelance data specialists who fix the plumbing, tie attribution out, and document it to last.
Fractional Lead
A fractional analytics lead to set data strategy, governance and the bar for what your team is allowed to act on — a few days a week.
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Partnerships
FAQ
Data questions
What marketing and data leads ask when deciding how to resource analytics, measurement and AI.
Analyst or data engineer first?
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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?
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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?
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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?
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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?
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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?
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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.