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9 дней назад

Senior Data Analyst (AI)

60 000 - 80 000GBP
Формат работы
hybrid
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
Senior Data Analyst (AI): Building analytics pipelines, dashboards, experiments and stakeholder narratives for a social-care marketplace and vertical SaaS products with an accent on commercial strategy, product intelligence and AI-assisted analysis. Focus on identifying acquisition opportunities, measuring product impact, supporting board-level reporting and turning recurring analysis into self-serve tools.

Location: Hybrid in London, UK, with two core office days per week

Salary: £60,000–£80,000 per year plus equity

Company

hirify.global is a Series A healthtech startup building an AI operating system for social care, including a care marketplace and vertical SaaS products for care providers.

What you will do

  • Build analytics pipelines, dashboards, experiments and stakeholder narratives across Commercial, Finance and Product.
  • Use AI-assisted workflows, Hex, Metabase and automation to accelerate analysis and enable self-serve analytics.
  • Analyze marketplace performance and identify partner acquisition and commercial growth opportunities using BigQuery and Hex.
  • Study how care providers use the platform through experimentation and communicate product value across the business.
  • Support Finance with process optimization, data accuracy and board-level reporting.
  • Scope analytical requests, challenge low-impact work and turn recurring questions into self-serve dashboards.

Requirements

  • 4+ years of experience in data analytics.
  • Strong SQL skills, with the ability to review, question and correct AI-generated queries and analyses.
  • Practical experience using AI tools such as Cursor, ChatGPT, Claude or Hex AI in daily analytics work.
  • Strong commercial judgment, problem-solving ability and comfort working with ambiguity.
  • Ability to influence technical and non-technical stakeholders and communicate complex analysis clearly.
  • Numerical and statistical aptitude, with the ability to choose and explain appropriate analytical methods.

Nice to have

  • Experience with BigQuery, Dataform, Metabase and Hex.
  • Marketplace or go-to-market experience.
  • Experience in B2B, B2C or consultancy environments.

Culture & Benefits

  • Mission-driven work focused on improving later-life care.
  • Hybrid office policy with two core office days each week.
  • 26 days of holiday plus bank holidays.
  • Equity through an EMI share offering.
  • Lean, collaborative team with opportunities for rapid progression and strategic leadership growth.

Hiring process

  • Talent Lead interview, followed by a hiring manager interview with the CPTO.
  • Two technical interviews and a behavioural interview, conducted remotely.
  • Final in-person interview with the Co-Founder and CEO.

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