Data Analyst

• Mentalidad analítica y de resolución de problemas, identificar preguntas comerciales, brechas de rendimiento y oportunidades de mejora, y traducirlas en enfoques analíticos claros.
• Apoyar iniciativas GTM proporcionando información sobre el rendimiento comercial, la eficiencia operativa, los factores financieros y los KPI estratégicos.
• Diseñar, construir y mantener tableros, informes y modelos analíticos que rastreen el rendimiento contra objetivos y apoyen la toma de decisiones del liderazgo.
• Realizar análisis ad hoc y profundos para explicar tendencias, variaciones, riesgos y oportunidades, y evaluar el impacto de las iniciativas comerciales.
• Trabajar estrechamente con miembros del equipo RevX y partes interesadas comerciales para comprender sus objetivos, definir métricas relevantes y asegurar que los resultados analíticos estén alineados con las necesidades de decisión.
• Colaborar con ingeniería de datos, finanzas y otros equipos analíticos para asegurar la calidad de los datos, la consistencia y la escalabilidad de las soluciones de informes.
• Sintetizar análisis complejos en narrativas claras y concisas y presentar datos que se traduzcan en información práctica para los líderes senior.
• Contribuir a la mejora continua de marcos analíticos, herramientas y mejores prácticas dentro del equipo RevX.

Process and Data Analyst

• Work closely with product managers, business, development and data engineering teams to guide the sales, marketing and growth team in problem discoveries, monitor and give visibility of product metrics and KPIs.
• Translate product and business questions into analysis and actionable insights.
• Develop and maintain scalable and self-service visualization tools and dashboards.
• Own end-to-end everything analytics related to Marketing and Growth Product: products development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses.
• Build robust relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product.
• Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact.

Senior Data Analyst

• Análisis del uso que hace el cliente de los datos y estratégia de negocio.
• Detección de oportunidades de explotación de sus datos y de datos externos con alto impacto en su negocio.
• Exploración y análisis de datos, identificación de variables relevantes para resolver retos concretos.
• Estudio y modelización de la estructura global de datos del cliente.
• Construcción de soluciones a problemas de negocio en base a datos de principio a fin (compresión de necesidad, integrción del dato, curación de datos, visualización con herramientas de business intelligence, construcción de algoritmos y modelos predictivos).
• Comunicación de resultados e interacción directa con clientes.

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Staff Product Data Analyst

• Analyze fulfilment workflows to identify bottlenecks and propose data-backed solutions
• Design, build, and maintain automated dashboards tracking key fulfillment KPIs
• Independently write and own complex SQL queries to analyze large fulfilment datasets
• Identify trends, anomalies, and generate clear insights from fulfilment data
• Partner with Operations, Logistics, Product, and Data teams for decision-making support
• Work with Data Engineers to ensure fulfillment data is clean and scalable
• Monitor data integrity and resolve discrepancies to maintain trust in reporting
• Track key fulfilment KPIs and proactively flag issues and anomalies
• Use AI tools to accelerate analysis and automate tasks

Data Analyst – Fulfilment

• Analizar, tratar y explotar datos financieros y de mercado para apoyar decisiones
• Participar en proyectos de Data Analytics e Inteligencia Artificial aplicados a mercados financieros
• Colaborar con equipos de Tecnología y Sistemas en fases de implantación, pruebas y coordinación funcional
• Integrar datos procedentes de sistemas corporativos con fuentes externas de mercado
• Desarrollar modelos de analítica avanzada, regresión, series temporales, simulación, backtesting y escenarios de estrés
• Diseñar dashboards en Power BI
• Soportar decisiones en estrategias de financiación y contratación de instrumentos financieros
• Generar materiales para comités y reporting ejecutivo
• Explorar el uso de IA generativa, copilots y LLMs

Finance Data Analyst

• Work with Marketing Analysts, Analytics engineers, and Digital Analytics Managers
• Partner with marketing team on cross-functional projects to find opportunities to increase efficiency and scale our business effectively
• Design and build dashboards and self-service tooling in Looker to enable a large, multi-faceted growth organization to do their best work.
• You’ll collaborate closely with our analytics engineering team, building a clean, highly scalable marketing data modeling infrastructure in Snowflake (using dbt)
• Work closely with Marketing Leadership on complex questions to drive the most optimal growth strategies
• Suggest and perform analysis of landing pages, A/B test, audiences, segments, ads, and creatives
• Drive target audience segmentation, attribution modeling, lead generation analytics, paid and unpaid channels optimizations
• Own and optimize data connections within our marketing stack to get the right data in front of our stakeholders where they work
• Design & implement the best attribution model strategy

• Work with other Data Analysts, Analytics Engineers, Data Scientists and Engineers in our team to generate advanced analysis that answers key business questions and unlocks opportunities.
• Explore data from different sources, turning it into information, information into insight and insight into decisions
• Design and develop metrics, dashboards, experiments and analyses to track and assess the impact of new initiatives and features.
• Develop data frameworks and products to drive insights and behavioural analysis.

• Liderar el diseño y ejecución de la estrategia de análisis y datos de logística y cadena de suministro
• Gestionar la unidad de análisis de logística y cadena de suministro
• Desarrollar, mantener y mejorar paneles de control, informes y herramientas analíticas
• Colaborar con equipos de proyectos e IT en arquitectura de datos y procesos impulsados por datos

Interim Logistics & Supply Chain Analytics Manager

• Architect Real-Time Strategies – You will be responsible for our real-time decisioning engine, designing and deploying logic that combines ML scores with velocity features to make millisecond decisions.
• Precision Rule Development – Translate complex fraud patterns into high-performing rules, optimizing the balance between False Positive Rates (FPR) and Gross Fraud Loss.
• Deconstruct Payment Fraud – Proactively hunt for emerging schemes (ATO, social engineering) and turn these insights into end-to-end mitigation strategies.
• Optimize the Decisioning Stack – Partner with Product and Engineering to define analytical requirements for new features and third-party data signals.
• Calibrate ML & Heuristics – Work with Data Science to operationalize machine learning models, determining how to best "wrap" model scores with heuristic rules.
• Champion Frictionless UX – Analyze security measures to identify unnecessary hurdles, designing dynamic friction strategies for a seamless user experience.
• Strategic Performance Reporting – Monitor rule efficacy and portfolio health, presenting data-driven recommendations to senior leadership to evolve our risk appetite.

Fraud Data Analyst

• Liderar el análisis de datos de ocupación, utilización de espacios y comportamiento de empleados para identificar palancas de eficiencia y mejora.
• Diseñar y desarrollar soluciones de reporting y dashboards ejecutivos (principalmente en Microsoft Power BI), adaptados a distintos niveles de la organización.
• Traducir necesidades del área en modelos analíticos y KPIs accionables (occupancy, utilization, demand vs capacity, scenario modelling, stacking plan, Workplace métrica).
• Integrar y estructurar datos procedentes de múltiples fuentes (IWMS/CAFM, HR systems, sensores, wifi, herramientas de booking).
• Participar activamente en proyectos de consultoría, aportando insights basados en datos en iniciativas de workplace Strategy, Space calculator, Optimización de portfolios inmobiliarios, movimientos de personal y propuesta de stacking plan, etc.
• Interactuar con áreas de negocio presentando datos y resultados.
• Contribuir al desarrollo de capacidades analíticas internas (metodologías, modelos, automatización de reporting).
• Trabajar con equipos de tecnología, HR, FM y Finanzas para alinear iniciativas de Workplace.
• Impulsar una cultura data-driven dentro del área de Corporate Real Estate.
• Introducir soluciones de IA en el día a día del área de Workplace para optimizar procesos.

Senior Consultant – Data Analytics, Corporate Real Estate

• Support the global procurement organization by leveraging data, technology, and process excellence
• Enable best‑in‑class performance across IFF
• Collaborate with senior procurement leaders and cross‑functional stakeholders

Procurement Data Analyst, Science Intern – 1 year Internship

• Comprender los procesos de negocio a nivel operativo y de sistemas.
• Identificar los sistemas implicados en los procesos y las tablas donde se alojan los datos.
• Acceder, extraer y explotar datos procedentes de distintos entornos (ERP, datalake, entre otros).
• Desarrollar scripts y soluciones orientadas a la automatización de procesos analíticos y a la reducción de tareas manuales.
• Diseñar análisis exploratorios de datos (EDA), detectar anomalías y generar conclusiones e insights accionables.
• Redactar informes de auditoría de forma clara y estructurada, incluyendo hallazgos y recomendaciones de mejora.
• Interlocutar con perfiles diversos, tanto de dirección como técnicos y operativos.
• Ejecutar el trabajo en coordinación con equipos multidisciplinares.

Especialista en Auditoría IT, Data Analytics

• Ensure full transparency of company performance across Sales, Finance, HR, and Operations
• Define and continuously refine the company-wide KPI framework
• Own and continuously improve executive dashboards in Power BI
• Develop and maintain dashboards for Sales, Finance & HR, and other operational areas
• Design data models in Power BI integrating SAP and Salesforce data
• Define reporting standards, documentation, and data governance principles

Enterprise Business Intelligence, Reporting & Analytics Manager

• Own high-impact analytics projects from scoping through to delivery, ensuring actionable insights, clear recommendations and implementation.
• Be the go-to expert for data-led decision-making.
• Present findings to senior leadership and stakeholders with confidence, clarity, and business relevance.
• Champion a culture of evidence-based decision-making, uplifting analytical capabilities across the org.
• Develop, track, and evolve KPIs to monitor performance and highlight opportunities.
• Use statistical or advanced analytical methods when appropriate to deepen understanding and guide strategy.
• Take ownership of data quality, governance, and consistency in everything that you do.

• Support the CEO Office on major transformation initiatives with analytical insights that shape our value proposition, business model, customer experience, monetization, and operational excellence programs.
• Evaluate and prioritize new market segments, product opportunities, and strategic bets through rigorous market, product, and customer analysis.
• Identify improvement areas and uncover new growth opportunities through focused, data-driven deep dives into customer behavior, operations, and competitive dynamics.
• Lead cross-functional performance analyses to surface trends, explain key business drivers, and deliver clear, actionable insights to executives.
• Develop a wide range of analytical models including forecasting models to project business performance, scenario models to evaluate strategic options, and financial models to size opportunities and quantify impact

Senior Data Analyst – Expansion

• Own reporting that Marketing actually trusts. Build and maintain the dashboards, data models, and reporting layers that Lifecycle Marketing and broader Marketing leadership rely on day-to-day. Proactively identify where our reporting is noisy, inconsistent, or missing, and fix it. You'll be the go-to person Marketing leads come to when a number looks off.
• Design and analyze experiments. Own the end-to-end lifecycle of tests in your area—from scoping the hypothesis and picking the right measurement, to running the analysis, to writing up the result and socializing what we learned. You'll partner with Lifecycle Marketing on their monthly testing cadence, and you'll take on harder cross-channel and retargeting tests where the measurement isn't obvious.
• Support the evolution of our measurement framework. You'll partner with the team on incrementality work, stratified holdouts, and attribution model refinement—bringing statistical rigor to questions like *how much lift is real, how much is novelty, and how much is noise?*
• Be the analytical bridge to Martech. Partner with our Martech and Analytics Engineering teams to QA business logic in our CRM pipelines, validate audience data, and make sure the campaigns Lifecycle Marketing launches are measurable from day one. You'll be the analytics voice in conversations about tooling and data flow.
• Unblock the team. A senior IC on this team makes everyone around them more effective. You'll review SQL, pressure-test analytical approaches, and help raise the bar on how we structure our work.
• Tell stories that drive action. Root-cause analysis is core to this role: when a metric moves, you'll go find out *why*, tie it to marketplace dynamics on both the demand and supply side, and bring a clear narrative to the people who need to act on it.

• Análisis de report de desarrollo de negocio de corredores
• Análisis de los KPI´s comerciales relativos al Canal
• Soporte en análisis de dashboards de incentivación
• Gestión de información de datos de canal a otras áreas
• Análisis matriz de riesgos de Canal

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Process and Data Analyst

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Interim Logistics & Supply Chain Analytics Manager

Fraud Data Analyst

Senior Consultant – Data Analytics, Corporate Real Estate

Procurement Data Analyst, Science Intern – 1 year Internship

Especialista en Auditoría IT, Data Analytics

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Senior Data Analyst

Senior Data Analyst – Expansion

Senior Data Analyst

Analista de datos, Canal Corredor