OverviewCualquier información adicional que necesite para este trabajo se encuentra en el texto a continuación. Asegúrese de leerla detenidamente y luego envíe su solicitud.At Cleo, we're building a fintech app with the aim of changing humanity's relationship with money. Cleo is a profitable, fast-growing unicorn with over $300 million in ARR and rapid year-over-year growth. We are looking for individuals who excel in their field and contribute to a culture of collaboration and positive impact. If you’re driven by complex challenges and the potential to shape something transformative at scale, this might be the right fit.As a Senior / Lead Product Analyst you’ll be at the centre of strategic decision-making within your team. You’ll work in a cross-functional squad with product managers, designers, and engineers to apply analytical expertise and turn insights into real products. You’ll also sit within the wider data science function, a team of 80 Product Analysts, Analytics Engineers, and Machine Learning Engineers who are central to Cleo's work.This is a Level 3 ("Senior") or Level 4 ("Lead") position. Cleo has 5 internal levels of competency within Product Analytics.ResponsibilitiesConducting deep-dive analysis in your product domain to understand user behaviourCollaborate with Product, Machine Learning, Design, and Engineering to build an insight-driven product strategy with high-impact outcomesInfluence the roadmap through data-based recommendationsDefine how we quantitatively evaluate success, set KPIs, and design tracking to measure what mattersConduct regular A/B tests and causal analyses to assess the impact of product changes on success metricsBuild models of user segmentation, marketing attribution, customer lifetime value,



etc.Work with Analytics Engineering to prioritise data modelling needs and contribute to the transformed data codebaseWhat We're Looking For5+ years of experience doing quantitative analysis within a digital product environmentExperience conducting large-scale A/B experiments and interpreting results to drive product and business decisionsAbility to define new product metrics from complex, unstructured dataExcellent SQL skillsFluency in Python and its application in data analysis is a nice to have, but not essentialKnowledge of statistics (e.G. hypothesis testing, regressions)Strong communication skills, with the ability to work fluidly across technical and non-technical teamsHands-on experience with BI tools (Looker, Mode, Tableau) and data workflow tools (dbt, Airflow)A bias for action and ownership—you’re excited to build from scratch, own it end-to-end, and deliver value fastWhat You GetA competitive compensation package (base + equity) with termly reviews, aligned to our OKR planning cyclesAX3 or AX4 level roleAX3 banding: £74,266 - £96,126 Hybrid London or £69,699 - £90,657 UK RemoteAX4 banding: £94,059 - £119,128 Hybrid London or £88,938 - £113,489 UK RemoteWork at a fast-growing tech startup backed by top VC firms Balderton & EQT VenturesA clear progression plan with ongoing growth, new opportunities, and supportFlexibility and a healthy balance to support doing your best workGlobal distribution with a hybrid option in London and occasional travel for those outside LondonOther BenefitsCompany-wide performance reviews every 4 monthsGenerous pay increases for high-performing team membersEquity top-ups for promotions25 days annual leave + public holidays (+ an additional day per year up to 30)6% employer-matched pension in the UKPrivate Medical Insurance, dental cover, and life assuranceEnhanced parental leave1 month paid sabbatical after 4 yearsRegular socials and activities, online and in-personOpenAI subscription coverageOnline mental health support via SpillWorkplace Nursery SchemeAnd moreWelcoming EveryoneWe strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. xhfqzwm If there’s anything we can do to accommodate your specific situation, please let us know.#J-18808-Ljbffr

📌 Senior / Lead Data Scientist, Product Analytics - £74,266 - £119,128 A Year (Madrid)
🏢 Cleo
📍 Madrid