Назад
Company hidden
обновлено 4 дня назад

Senior Data Analyst (Insurance)

80 000 - 100 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
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Data Analyst (Insurance): Analyzing complex insurance, pricing, product, behavioural, policy, and claims datasets to improve commercial decisions with an accent on statistical reasoning, performance measurement, and customer outcomes. Focus on designing experiments, connecting app behaviour to pricing and loss ratio, defining metrics, and translating ambiguous business questions into actionable recommendations.

Location: Hybrid in London, United Kingdom; work from home is flexible, with attendance at the London office a couple of times a month for team strategy days and socials.

Salary: £80,000–£100,000 per year, depending on experience.

Company

hirify.global provides short-term car insurance through a mobile app, using technology and data to create flexible insurance products and pricing.

What you will do

  • Analyze and interpret complex datasets to provide insights and recommendations for commercial and product decisions.
  • Partner with the Head of Product to size opportunities and measure the impact of launched features.
  • Design and interpret A/B tests and feature rollouts, connecting app behaviour with policy, pricing, and claims data.
  • Monitor pricing, business, product, claims, and loss-ratio performance to identify trends and opportunities.
  • Own metric definitions and contribute to the semantic layer, dashboards, documentation, and self-serve analytics.
  • Collaborate with BI, Data Engineering, Product, Pricing, and Data Science teams to turn analysis into action.

Requirements

  • Experience working with data in the insurance industry, ideally personal lines and preferably motor insurance.
  • Strong statistical reasoning and the ability to explain assumptions, limitations, and conclusions.
  • High proficiency in SQL and Python for analysis, modelling, and problem solving.
  • Experience working with complex datasets and answering ambiguous business questions independently.
  • Strong commercial, stakeholder management, communication, and cross-functional collaboration skills.
  • Experience as a Data Analyst, Pricing Analyst, Data Scientist, BI Analyst, or in a similar analytical role.

Nice to have

  • Experience designing, running, or interpreting experiments, A/B tests, or feature rollouts.
  • Experience with Mixpanel, Amplitude, or GA4 alongside a data warehouse.
  • Experience with machine learning models and evaluating their performance and accuracy.

Culture & Benefits

  • Four-day work week with Fridays off and a flexible work-from-home setup.
  • 20.5 days of annual leave plus public holidays, increasing with tenure.
  • Private medical insurance, enhanced parental leave, and mental health and coaching support.
  • Professional development, health, work-from-home, and wellbeing budgets.
  • Quarterly socials, company events, cycle-to-work scheme, and employee discounts.

Hiring process

  • Initial 60-minute conversation with the hiring manager.
  • 90-minute technical interview and live challenge with peers.
  • Values interview with the People team and stakeholders, followed by a 20-minute founders chat with the CEO.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →