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2 дня назад

Data Analyst - Supply (AI)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analyst - Supply (AI): Building metrics, dashboards, and experimentation frameworks to analyse participant acquisition, onboarding, engagement, retention, and marketplace health with an accent on lifecycle analytics, statistical experimentation, and commercial performance. Focus on translating complex participant and two-sided marketplace data into actionable decisions, scalable reporting, and sustainable supply improvements.

Location: United Kingdom; remote working is available.

Company

hirify.global provides a platform connecting researchers and companies with a global pool of participants to collect ethically sourced human behavioural data for AI development.

What you will do

  • Own analytics across the participant lifecycle, from acquisition and onboarding through activation, engagement, quality, retention, churn, and reactivation.
  • Build metrics, dashboards, scalable reporting frameworks, and experimentation frameworks using marketplace data.
  • Analyse participant behaviour, participant health, marketplace liquidity, and long-term supply sustainability.
  • Design and evaluate A/B and operational experiments and turn findings into clear decisions.
  • Work with Product, Operations, Growth, Data Science, Commercial, and Finance stakeholders to identify opportunities and drive initiatives.

Requirements

  • Advanced SQL and strong Python proficiency, including pandas, experimentation analysis, and automation.
  • Experience building scalable reporting frameworks in modern BI tools such as Metabase, Looker, or Tableau.
  • Experience analysing user acquisition, onboarding, activation, engagement, retention, churn, and behavioural cohorts.
  • Experience designing and analysing A/B or operational experiments, with a strong grounding in statistical concepts and causal thinking.
  • Ability to translate participant and marketplace challenges into measurable hypotheses, success metrics, and actionable recommendations.
  • Ability to connect operational metrics to revenue, margin, and financial performance.
  • Experience operating with high autonomy, setting priorities, challenging assumptions, and driving initiatives from problem definition through implementation.
  • Proven ability to partner across Product, Operations, Commercial, and Finance functions.
  • Strong understanding of B2B and two-sided marketplace metrics and economics, plus the ability to communicate complex analysis as concise, decision-ready insights.

Culture & Benefits

  • Remote working within a mission-driven environment focused on human data infrastructure and AI innovation.
  • Access to a human data platform supporting research and the development of more accurate, nuanced, and aligned AI systems.
  • Competitive salary and benefits.

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