On a day-to-day basis you’ll:

• Manipulate, analyse and interpret datasets to provide insights and recommendations that help our business make better decisions
• Work directly with our Head of Product to size opportunities before we build them, and to measure the impact of what we've shipped once it's live
• Design and interpret A/B tests and feature rollouts, with a clear view on what the result means for the product and wider business
• Work day to day with behavioural data, using funnel analysis and event tracking to connect app behaviour with policy, pricing and claims data
• Analyse pricing, business and product performance, identifying trends, opportunities and areas where deeper investigation is needed
• Follow analysis through to claims and loss ratio, so we understand the risk and commercial impact of what we ship, not just conversion
• Own metric definitions and contribute to our semantic layer, helping ensure the business works from a consistent version of each number
• Collaborate with BI and Data Engineering colleagues on analytical and data projects
• Drive self-serve analytics across the business by coaching stakeholders and building the dashboards, metrics and documentation they need to answer their own questions
• Support the Product team as we launch and iterate on new products and features

You’ll do great here if you have:

• Experience working with data in the insurance industry, ideally within personal lines and preferably motor
• Strong statistical reasoning, and can explain what an analysis does and doesn't support, including the assumptions and limitations behind your conclusions
• A strong commercial mindset and can connect analysis to business performance, customer outcomes and commercial decisions
• Are highly proficient in SQL and Python, being comfortable using Python for analysis, modelling and problem solving
• Can work confidently with complex datasets, joining information from different sources to uncover insights and answer ambiguous questions
• Strong stakeholder management skills, with the ability to partner with senior stakeholders, ask the right questions and challenge thinking when needed
• Excellent communication skills and can turn complex analysis into a clear story, recommendation or decision for your audience
• Are comfortable working across functions and collaborating with BI, Data Engineering, Product, Pricing and other teams to solve problems
• Experience working as a Data Analyst, Pricing Analyst, Data Scientist, BI Analyst or in a similar analytical role
• Are curious about new approaches to data, including data science and AI, and are interested in how they can improve the way we make decisions
• The ability to take an ambiguous business problem, work out what we need to know, and independently take it from question through analysis and recommendation

It’s a bonus if you have:

• Have designed, run or interpreted experiments, A/B tests or feature rollouts
• Have worked with a behavioural analytics tool such as Mixpanel, Amplitude or GA4 alongside a data warehouse
• Have experience with machine learning models, including understanding how their performance and accuracy are evaluated

The hiring process: (All interviews are held remotely)

• Initial chat with hiring manager (60m)
• Technical interview & live challenge with peers (90m)
• Values interview with People team & stakeholders (45m)
• Founders chat with our CEO, Freddy (20m)

Benefits:

As well as a competitive salary (80,000 - £100,000 depending on experience), benefits of working at Cuvva include:

• Very flexible WFH set up, we only ask folks to come in a couple of times a month for team strategy days and socials - but of course, you're more than welcome to come in as much as you like!
• A four day work week (Fridays off!)
• An office worth visiting - Old Sessions House is a stunning private members club with a rooftop, infinity pool and regular members events. Not your average workplace!
• Transparent salary model and bands for all roles (without sharing anyone's individual salary of course!)
• 20.5 days of holiday a year + public holidays - rising with each year at Cuvva 🌞 (holidays have been prorated based on our 4DWW)
• Quarterly team socials and company events
• Private medical insurance with Bupa
• Professional development budget
• Health, WFH and wellbeing budget 🧘 ♂️
• Increases to all allowances year on year
• Enhanced parental leave and pay
• Cycle to work scheme
• Mental Health and Coaching Support - We offer free and confidential access to comprehensive mental healthcare and coaching through Oliva. Giving you the space to talk to a coach or therapist about anything you like
• Hundreds of perks and discounts with Perkbox
• £100 a month towards your Cuvva car insurance
• Referral bonus when you bring your friends to join the Cuvva team 💸

Referrals:

Know someone who could be right for this job? We’d love to hear from them, please drop us a note at jobs@cuvva.com to let us know who you'll be referring and for which role. If they get the job, you will receive an Apple Watch! If someone has already applied to the role before we receive your email they will not be considered a referral, so please check with them beforehand to make sure 🙂

Cuvva ways of working:

We’re dedicated to creating a place where people want to work, a place where people believe in what they’re doing, have clear expectations and a bunch of freedom.

Our approach to hybrid working is very flexible: we only ask people to come a couple of times a month for team building or company events. The rest of time it’s up to you where and how you work. You can of course come into the office as much as you like!

Diversity, inclusion and belonging at Cuvva:

At Cuvva, we’re dedicated to building an environment where individuals from all walks of life feel a sense of belonging and have the support they need to thrive. To us, it’s crucial that our differences are embraced and celebrated - and that you’re able to bring your whole self to work everyday.

Research shows that men apply to jobs if they meet ~60% of criteria, but women and those in traditionally underrepresented groups tend to apply