Mapfre is a global insurance multinational and the leading insurer in the Spanish market, operating across five continents with a presence in over 40 countries. As a benchmark in the industry, the company provides a comprehensive range of insurance, reinsurance, and financial services, employing over 30,000 people globally and serving millions of customers.

Headquartered in Madrid, Mapfre offers a stable and traditional corporate environment with a strong emphasis on digital transformation. For international professionals, the company is particularly relevant for its growing tech and data hubs in Spain, which focus on Cloud computing, Artificial Intelligence, and Cybersecurity, though a high level of Spanish proficiency is generally expected for most positions.

Founded in 1933 as a mutual insurance company for rural estate owners in Spain, Mapfre expanded throughout the 20th century to become a diversified global financial group. It completed its demutualization process in 2006, leading to its current structure as a listed multinational corporation.

For international professionals

Largest Spanish insurance company with a massive global footprint and headquarters in Madrid.
Offers diverse career paths in technical fields such as Data Science, Cloud Operations, and AI Strategy.
Provides a robust benefits package including private health insurance, life insurance, and pension schemes.
Maintains a strong commitment to internal mobility and long-term professional development for its employees.
While the corporate language is Spanish, its global operations provide a multicultural environment for international hires.

Data & AI Business Analyst

Mapfre

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Requirements

University degree in Economics, Engineering, Mathematics, Information Systems, or similar.
Solid knowledge of project management (agile and hybrid), requirements gathering, and functional design.
Proficiency in data processing and analysis tools (Excel, SQL, Python)
Ability to translate the operational and strategic impact of data.
Ability to evaluate the technical and operational feasibility of initiatives.
Basic knowledge of BI tools
Fundamentals of KPIs, metrics, funnels, cohorts, and descriptive analysis.
Ability to structure information, understand business rules, and convert them into metrics or analytical requirements.
Functional knowledge of business processes (customers, commercial, channels, pricing, claims, operations...).

PROFESSIONAL EXPERIENCE REQUIRED FOR THE POSITION
Experience leading or directing strategic, operational, or methodological initiatives that have improved: area efficiency, data quality, traceability, executive reporting, or coordination models. Minimum of 2 years of experience.
Minimum of 2 years of experience in requirements gathering, definition of use cases, functional analysis, and validation of deliverables.
Work in multidisciplinary squads under agile methodologies for a minimum of 2 years.

Job Description

LOCATION.- MAJADAHONDA - CR. POZUELO DE ALARCON, 50-1 Edif. 4

POSITION MISSION

Support the operational management of Data & AI projects by performing operational tasks, tracking tasks, preparing materials, and providing support in work sessions. Collaborate as a coordination point between the business, Data & AI, and technical teams (engineering, Data Science, and architecture), contributing to ensuring the quality of deliverables, compliance with deadlines, and an efficient and orderly operation.

POSITION FUNCTIONS (KEY FUNCTIONS)

Identify and structure business needs, participating in meetings, understanding the functional context, and translating requirements into analytical language.

Jointly manage the full cycle of Data & AI projects: planning, prioritization, operational tracking, risk management, and control of deliverables.

Coordinate multidisciplinary teams ensuring alignment and operational fluidity.

Serve as an operational interlocutor with Business, Technology, the Data & AI Office, and other involved teams.

Support area managers in portfolio management and prioritization based on capacity and value.

Monitor operational KPIs, workload, and process efficiency.

Technical and operational tracking and analysis

REQUIRED EDUCATION AND KNOWLEDGE

University degree in Economics, Engineering, Mathematics, Information Systems, or similar.

Solid knowledge of project management (agile and hybrid), requirements gathering, and functional design.

Proficiency in data processing and analysis tools (Excel, SQL, Python)

Ability to translate the operational and strategic impact of data.

Ability to evaluate the technical and operational feasibility of initiatives.

Basic knowledge of BI tools

Fundamentals of KPIs, metrics, funnels, cohorts, and descriptive analysis.

Ability to structure information, understand business rules, and convert them into metrics or analytical requirements.

Functional knowledge of business processes (customers, commercial, channels, pricing, claims, operations...).

PROFESSIONAL EXPERIENCE REQUIRED FOR THE POSITION

Experience leading or directing strategic, operational, or methodological initiatives that have improved: area efficiency, data quality, traceability, executive reporting, or coordination models. Minimum of 2 years of experience.

Minimum of 2 years of experience in requirements gathering, definition of use cases, functional analysis, and validation of deliverables.

Work in multidisciplinary squads under agile methodologies for a minimum of 2 years.

View original advert (Spanish)

UBICACIÓN.- MAJADAHONDA - CR. POZUELO DE ALARCON, 50-1 Edif. 4

MISIÓN DEL PUESTO

Apoyar en la gestión operativa de los proyectos de Datos & IA realizando tareas operativas, el seguimiento de tareas, la preparación de materiales y el soporte en sesiones de trabajo. Colabora como punto de coordinación entre negocio, Data&AI, y los equipos técnicos (ingeniería, Data Science y arquitecturas), contribuyendo a asegurar la calidad de las entregas, el cumplimiento de plazos y una operación eficiente y ordenada.

FUNCIONES DEL PUESTO (FUNCIONES CLAVE)

Identificar y estructurar necesidades de negocio, participando en reuniones, entendiendo el contexto funcional y traduciendo los requerimientos a lenguaje analítico.

Gestionar de forma conjunta el ciclo completo de los proyectos Data & IA: planificación, priorización, seguimiento operativo, gestión de riesgos y control de entregables.

Coordinar equipos multidisciplinares asegurando alineamiento y fluidez operativa.

Servir de interlocutor operativo con Negocio, Tecnología, Oficina Data & IA y otros equipos implicados.

Apoyar a los responsables de área en la gestión del portfolio y la priorización basada en capacidad y valor.

Monitorizar KPIs operativos, carga de trabajo, y eficiencia de los procesos.

Seguimientos y análisis técnicos y operativos

FORMACION Y CONOCIMIENTOS REQUERIDOS

Formación universitaria en Economía, Ingeniería, Matemáticas, Sistemas de información o similar.

Conocimientos sólidos en gestión de proyectos (ágil e híbrida), toma de requisitos y diseño funcional.

Manejo de herramientas de tratamiento y análisis de datos (Excel, SQL, Python)

Capacidad para traducir impacto operativo y estratégico del dato.

Capacidad para evaluar la viabilidad técnica y operativa de las iniciativas.

Conocimientos básicos de herramientas BI

Fundamentos de KPIs, métricas, funnels, cohortes y análisis descriptivo.

Capacidad para estructurar información, entender reglas de negocio y convertirlas en métricas o requisitos analíticos.

Conocimiento funcional de procesos de negocio (clientes, comercial, canales, pricing, siniestros, operaciones...).

EXPERIENCIA PROFESIONAL REQUERIDA PARA EL PUESTO

Haber liderado o dirigido iniciativas estratégicas, operativas o metodológicas que hayan mejorado; eficiencia del área,calidad del dato, trazabilidad, reporting ejecutivo, modelo de coordinación. Experiencia mínima de 2 años

Experiencia mínima de 2 años en toma de requisitos, definición de casos de uso, análisis funcional y validación de entregables.

Trabajo en squads multidisciplinares bajo metodologías ágiles, durante un mínimo de 2 años