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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
