9 дней назад
Senior Data Analyst (AI)
60 000 - 80 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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