Marketplace Pricing & Revenue Analyst

Cabify

¿Quieres cambiar el mundo? En Cabify creemos que una nueva forma de movilidad urbana es posible: más eficiente, sostenible y accesible para todos. Somos una empresa iberoamericana de movilidad líder, y nuestro propósito es hacer las ciudades mejores lugares para vivir, conectando personas y negocios con soluciones de transporte innovadoras. Si te apasiona generar un impacto real y ser parte de un equipo que redefine el futuro de la movilidad, ¡este es tu lugar! 🎯 Misión del Rol Desde el equipo de Growth somos responsables de habilitar el crecimiento del negocio. Para conseguirlo, 1) monitoreamos los indicadores claves, 2) detectamos oportunidades de optimización de la operación y 3) implementamos las estrategias necesarias para la consecución de los objetivos de la compañía.  Para esta posición buscamos a una persona con un profundo conocimiento analítico y con una gran visión estratégica de negocio; que nos ayude al correcto mantenimiento de la operación, así como del cumplimiento de los objetivos estratégicos. En específico, se trata de la operación y de la estrategia del Marketplace, lo que está relacionado con la definición de precios, la configuración de asignaciones de ofertas a coches, así como todas aquellas otras técnicas que ayudan a generar un mayor valor en el Marketplace, tanto para pasajeros como para conductores. 🛠️ ¿Cómo nos ayudarás a cumplir nuestra misión? Como Marketplace Growth Specialist serás el puente entre las necesidades de negocio y la ejecución técnica. * Encontrando oportunidades para maximizar el valor en el Marketplace, tanto para pasajeros como para conductores; y tanto en el corto como en el largo plazo. * Asegurando que esas oportunidades halladas por ti en el Marketplace están vinculadas a los objetivos estratégicos de la compañía. * Teniendo la capacidad analítica y técnica para poder dar con esas oportunidades de forma ágil y certera. * Poder trasladar correctamente las oportunidades identificadas a todos los stakeholders, asegurando una correcta implementación. * Identificando posibles mejoras en configuración y procesos. * Analizando las necesidades de los diferentes stakeholders para aportar la solución más adecuada. Lo que estamos buscando: * Experiencia en entornos tecnológicos y/o afición por la tecnología. * Excelentes habilidades de comunicación. * Experiencia trabajando en entornos colaborativos entre varios equipos. * Capacidad de negocio: sabe alinear la técnica con los resultados. * Capacidad analítica: estructurada, orientada al detalle y proactiva. * Experiencia con herramientas de visualización de datos. Preferiblemente con Tableau. * Se valora conocimiento de herramientas de manipulación de datos o estadísticos, como Python o R; así como herramientas de IA. * Idiomas: Inglés (B2 deseable). ¡Únete al equipo de Cabify en España! 🌍 Flexibilidad horaria: margen flexible en la hora de entrada y salida para que te organices a tu ritmo. 💸 Crédito mensual en la App de Cabify. 👩🏽‍🎓 Presupuesto anual para tu formación continua. 💰 Planes de retribución flexible. 🎟️ Descuentos exclusivos en restaurantes, tiendas y gimnasios. 🐶 Oficina pet-friendly con sala especial para mascotas. 🖥️ Equipo de trabajo completo de última generación. 🍇 Espacios de oficina con fruta fresca y café de calidad. Cabify se enorgullece de ser un lugar de trabajo con igualdad de oportunidades. Celebramos la diversidad y estamos comprometidos con crear un entorno inclusivo para todas las personas, independientemente de su origen, género, religión, orientación, edad o capacidad. ¡Únete a nosotros!

Farfetch

FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers. We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All. COMMERCIAL We're partnering with global brands and the most influential and renowned boutique curators to bring our customers an unrivalled range of fashion to empower their individuality. We’re relationship builders, we’re solution finders and we’re analysts. We work with all areas of the FARFETCH business to improve our social and environmental impact while delivering business success. We want to empower our consumers to buy better, improve our operational footprint, and explore new business models that improve our impact. LONDON Our office is located in Old Street, London's tech hub. Our open-plan space is ideal for collaborative working. When you're not doing what's never been done, you can enjoy a team lunch on our large outdoor terrace, or join a yoga class in our dedicated studio. THE ROLE The Commercial function at FARFETCH manages supply and pricing on the FARFETCH marketplace in order to drive profitable growth. Working across the business, we deliver at-scale commercial programmes which drive benefits for FARFETCH, our customers, and our partners. Reporting to the Head of Commercial - Pricing, you will lead cross-functional commercial strategy across global markets and partner with senior leadership on investment-style decisions shaping the business. Operating at the intersection of commercial strategy, data, and pricing, you will define the scope, own the roadmap, and drive high-impact projects. You will work seamlessly with leaders across Marketing, Product, Engineering, Operations, Finance, and Data Science to bring your strategic vision to life and optimize our positioning within key markets.

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM The Risk Data Science team builds the data foundations, models, and measurement frameworks that power Stripe's risk and product decisions — from underwriting and reserves to merchant interventions and enablements. We're at an inflection point: as Stripe increasingly offers risk capabilities as a product to platforms and users, we need a data leader to shape how we build, measure, and evolve our risk data strategy across the  WHAT YOU’LL DO We are looking for an experienced data analyst to drive the data strategy for our risk as a product offering. Define the metrics, data products, and analytical frameworks needed as Stripe brings risk capabilities to platforms and connected accounts at scale. Partner with Product, Engineering, and Risk leadership to ensure data investments align with the product roadmap. You will design metrics, pipelines, and data products that serve as the analytical backbone for risk decisioning. You will own the definition, reliability, and visibility of our most important risk metrics. Establish a canonical set of north star and operational metrics and ensure they are trustworthy, well-documented, and consistently surfaced to the right audiences. Build and maintain the infrastructure that keeps these metrics accurate as our data and product landscape evolves, including clear ownership, alerting on regressions, and scalable pipelines that reduce the cost of keeping insights current. You will also own and evolve Stripe's risk experimentation strategy by defining what we test, how we measure, and how we learn. Ensure we can rigorously evaluate the impact of changes to risk policies, merchant journeys, and risk models across diverse merchant populations. Finally, you will mentor and raise the bar for the Data Analysts on the team. Set technical and strategic standards. Guide junior and senior analysts on how to frame ambiguous problems, structure analyses for maximum impact, and communicate findings to senior stakeholders. WHO YOU ARE We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 10+ years in Data Analytics, Data Science, or related roles                                           * Track record of defining and driving data strategy across multiple teams — not just executing on a roadmap, but shaping it                                                                                   * Experience designing experimentation frameworks or measurement strategies for complex, multi-variant systems (e.g., risk policies, pricing, marketplace dynamics)                                              * Deep expertise in SQL; proficiency in Python * Strong ability to translate ambiguous business problems into structured analytical approaches and communicate findings to executive stakeholders                                                            * Experience building and scaling data products (metrics frameworks, pipelines, dashboards) that become operational infrastructure, not one-off analyses                                                         * Demonstrated ability to influence without authority across engineering, product, and business teams * Proficiency with AI tools to accelerate model development, analysis and coding PREFERRED QUALIFICATIONS * Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field * Experience in risk, trust & safety, or related domains and understanding of risk in the Fintech space * Experience building data for platform/product offerings where data is part of the product surface, not just internal analytics                                                                               * Familiarity with causal inference and A/B testing in non-standard environments (e.g., where randomization is constrained by risk considerations)