data analyst in insurance

Cuvva; Greater London; Hybrid; GBP 55.000 - 75.000; Vollzeit

Benefits dieser Stelle

Four-day work week (Fridays off)

Private medical insurance

Professional development budget

Cycle to work scheme

Mental health support

Zusammenfassung

Cuvva offers short-term car insurance via an app, using technology to improve customer experiences and pricing. We’re seeking a data analyst to work with the Product and BI teams to size opportunities, measure impact, and drive data-informed decisions.

You will design experiments, build dashboards, and connect app events to pricing and claims data. A hybrid London-based role with quarterly events and supportive benefits awaits.

Qualifikationen

• Experience working with data in insurance or personal lines is preferred.
• Strong statistical reasoning with ability to explain assumptions and limitations.
• Commercial mindset connecting analysis to business outcomes and decisions.
• Excellent communication and ability to explain complex analyses clearly.

Aufgaben

• Analyze datasets and provide insights to support business decisions.
• Size opportunities with Head of Product and measure impact post-launch.
• Design and interpret A/B tests and feature rollouts and explain implications.
• Link app behaviour with policy, pricing and claims data.
• Track pricing and product performance to identify trends and opportunities.
• Collaborate with BI and Data Engineering on analytics projects.
• Develop dashboards, metrics, and documentation for self-serve analytics.
• Support Product in launching and iterating on features.

Kenntnisse

SQL

Python

Data analysis

Statistics

Stakeholder management

Communication

Experiment design

Tools

Mixpanel

Amplitude

GA4

Data warehouse

Jobbeschreibung

Описание:

Cuvva offers short-term car insurance through an app, providing flexible products designed around customers’ needs. It uses technology to improve customer experiences and offer fairer prices.

Задачи:

• Analyze datasets and provide insights and recommendations to support business decisions
• Work with the Head of Product to size opportunities before development and measure the impact of launched products
• Design and interpret A/B tests and feature rollouts, explaining their implications for the product and business
• Analyze behavioural data, using funnel analysis and event tracking to connect app behaviour with policy, pricing and claims data
• Analyze pricing, business and product performance to identify trends, opportunities and areas for further investigation
• Track analysis through to claims and loss ratio to understand the risk and commercial impact of launched products
• Own metric definitions and contribute to the semantic layer
• Collaborate with BI and Data Engineering colleagues on analytical and data projects
• Drive self-serve analytics by coaching stakeholders and building dashboards, metrics and documentation
• Support the Product team in launching and iterating on products and features

Требования:

• Experience working with data in the insurance industry, ideally in personal lines; motor insurance is especially relevant
• Strong statistical reasoning and ability to explain the assumptions and limitations of analytical conclusions
• Strong commercial mindset and ability to connect analysis with business performance, customer outcomes and commercial decisions
• High proficiency in SQL and Python for analysis, modelling and problem-solving
• Ability to work confidently with complex datasets, combine information from different sources and answer ambiguous questions
• Strong stakeholder management skills, including partnering with senior stakeholders and challenging thinking
• Excellent communication skills and ability to explain complex analysis clearly
• Ability to collaborate across BI, Data Engineering, Product, Pricing and other teams
• Experience as a Data Analyst, Pricing Analyst, Data Scientist, BI Analyst or in a similar analytical role
• Curiosity about data science and AI and their potential to improve decision-making
• Ability to independently take an ambiguous business problem from question through analysis to recommendation
• Будет плюсом: 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

Условия:

• Four-day work week, with Fridays off 20.5 Days of annual leave plus public holidays, increasing with each year at Cuvva; holiday allowance is prorated for the four-day work week
• Quarterly team socials and company events
• Private medical insurance with Bupa
• Professional development budget
• Health, WFH and wellbeing budget
• Annual increases to all allowances
• Enhanced parental leave and pay
• Cycle to work scheme
• Free confidential mental healthcare and coaching through Oliva
• Perkbox perks and discounts £100 A month towards Cuvva car insurance
• Referral bonus
• Hiring interviews are held remotely
• Office role with flexible WFH; attendance at the London office is requested a couple of times a month for team strategy days and socials