About Cuvva
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.
Responsibilities
•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
Requirements
•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
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
Benefits
•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
Process and work arrangement
•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
