Data Analyst

• Clean, validate, and standardize employee data across HR platforms and databases
• Identify duplicate, incomplete, inaccurate, or inconsistent records and implement corrective actions
• Support large-scale HR data quality improvement projects
• Create and maintain data validation rules and standard operating procedures
• Review organizational structures, job titles, departments, and employee information to ensure consistency across systems
• Assist with HRIS data audits and ongoing data integrity checks
• Build reports and dashboards to monitor data quality metrics and trends
• Collaborate with HR, Talent Acquisition, Payroll, and other stakeholders to improve data accuracy
• Support data migration, system implementation, and process improvement initiatives
• Document data standards, definitions, and best practices to improve long-term data governance

HR Data Analyst Intern

• Contribuir al desarrollo de la función fiscal de BBVA mediante la combinación de conocimiento técnico en materia tributaria y capacidades avanzadas de análisis de datos e inteligencia artificial.
• Apoyar el análisis de operaciones con impacto fiscal, desarrollar soluciones analíticas que mejoren la eficiencia y la calidad de los procesos del área.
• Impulsar la adopción de tecnologías de datos e IA como palancas de transformación del Departamento Fiscal.
• Analizar operaciones y procesos con potencial impacto fiscal, apoyando la identificación y evaluación de riesgos y oportunidades.
• Participar en el análisis técnico de normativa tributaria y su aplicación a las distintas actividades del Grupo.
• Diseñar y desarrollar análisis de datos que faciliten la toma de decisiones y mejoren la capacidad analítica del Departamento Fiscal.
• Desarrollar y mantener soluciones basadas en datos para la automatización, monitorización y optimización de procesos fiscales.
• Colaborar en la identificación, evaluación e implantación de casos de uso de inteligencia artificial aplicados a la función fiscal.
• Elaborar informes, visualizaciones y modelos analíticos que permitan interpretar información compleja y facilitar la toma de decisiones.
• Colaborar con equipos multidisciplinares de Fiscalidad, Finanzas, Ingeniería, Data y otras áreas corporativas.

Tax Analyst, Data

• Lead and develop a team of three analysts dedicated to our core product for all sales-driven business.
• Leverage data with your team to drive strategic decision-making and optimize product performance.
• Ensure data-driven decisions guide our product strategy and innovation efforts.
• Join the Product Insights department, composed of the Product Data Analytics team and Product Research team.
• Combine quantitative and qualitative insights to inform the product roadmap.
• Ensure your team is aligned with the broader company goals and operates with the velocity required to influence strategic decision-making.

Senior Manager, Product Data Analyst

• Estrategia y gestión de analítica digital: Gestionar y ejecutar proyectos de analítica digital, convirtiendo los objetivos de negocio de nuestros clientes en planes de medición sólidos que impulsen su crecimiento y toma de decisiones.
• Implementación y auditoría: Poner a punto y auditar cuentas de GA4 y GTM. Te encargarás de resolver problemas complejos de pérdida de datos, atribución, tráfico, configuraciones cross-domain, y personalización de agrupaciones de canales, entre otros.
• Modelado y extracción de datos (BigQuery): Explotar el dato crudo de GA4. Te encargarás de realizar consultas en SQL dentro de BigQuery para limpiar, transformar y conectar el comportamiento web con otras fuentes de datos del cliente.
• Visualización de datos y data storytelling: Construir cuadros de mando e informes de exploración avanzados en herramientas de BI (Looker, Looker Studio, Power BI). El objetivo es traducir datos complejos en paneles intuitivos que permitan a los clientes tomar decisiones estratégicas de negocio.
• Optimización de la conversión (CRO): Analizar en profundidad los funnels de venta y comportamiento del usuario. Utilizarás herramientas de heatmaps y grabaciones para identificar fricciones, y diseñarás, ejecutarás e interpretarás tests A/B para mejorar la experiencia de usuario y la tasa de conversión.
• Gobernanza del dato y privacidad: Garantizar la calidad y consistencia del dato recolectado, asegurando que las implementaciones respeten las normativas vigentes y configurando herramientas de privacidad.

Digital Analytics Specialist

• Análisis del uso que hace el cliente de los datos y estrategia 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, integración 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.

Data Analyst Consultant

• Trabajar en un proyecto orientado a mejorar contenido y calidad de mapas digitales
• Realizar tareas de investigación y evaluación en un entorno web
• Verificar y comparar datos
• Determinar la relevancia y precisión de la información

Analista de Datos

• Design, develop, and scale automated dashboards and analytics solutions that provide deep insights into ad platform performance, campaign delivery, and user engagement for both Product and Client Services teams.
• Serve as a core member of the Global Analytics team, leading initiatives to define data standards, enforce data quality checks, and document data lineages to ensure a trusted, single source of truth.
• Partner with Data Reporting and Platform teams to build, maintain, and optimize production-grade data models using dbt, ensuring efficient transformations and analytics-ready datasets.
• Act as the analytical partner to Product Managers (to guide feature development) and Client Services (to provide scalable client-facing insights and automate ad-hoc requests).
• Go beyond standard metrics to uncover trends, identify platform inefficiencies, and provide actionable recommendations that optimize ad revenue and user experience.

Senior Data Analyst

• Processing energy contracts for global clients
• Assisting teams with understanding and modifying energy data
• Performing quality checks and data processing using JSON and Alteryx
• Developing tailor-made reports and dashboards for energy data portfolios

Energy Data Analyst

• Leverage data to identify risks, opportunities, and key pricing drivers, turning complex information into actionable insights that influence strategic decision making;
• Leverage Machine Learning and advanced analytics to develop risk and pricing models that power real-time insurance pricing for millions of customers;
• Contribute directly to the company’s growth and long-term success through innovative modelling, experimentation and commercially impactful insights.

Quantitative Analyst, Math, Physics, Engineering

• Ensuring data integrity and high‑quality outputs across data sources
• Support quality control processes and contribute to quality assurance for data offerings
• Perform standard data quality checks and identify trends or patterns using statistical techniques
• Evaluate business data to understand characteristics and ensure alignment with local market rules
• Analyse existing processes and suggest opportunities for improvement
• Document procedures and share knowledge to support team consistency
• Assist in resolving data exceptions and collaborate with internal teams to address client‑related queries
• Provide support to clients and business initiatives when required
• Maintain and track KPIs to monitor performance and ensure operational accuracy

Data Analytics Analyst – SAS

• Work with outputs from ML models to maintain and improve fraud prevention decision, balancing detection coverage against false positive rates
• Own the fraud rule lifecycle - designing, testing, and maintaining prevention rules, with a clear view of coverage, false positive trade-offs, and when to retire what's no longer working
• Partner with Fraud Operations to understand emerging abuse patterns and translate operational observations into analytical improvements.
• Design and maintain alerting systems that identify threats early, giving the team time to respond before incidents escalate.
• Forecast fraud losses and chargeback volumes, giving Finance and Risk leadership earlier visibility into projected exposure.
• Define and own the north star metrics and KPIs for fraud prevention, ensuring reporting is clear, owned, and actionable at the executive level.
• Act as the data bridge between Product and the Applied AI team - providing performance feedback that informs model updates and roadmap prioritisation.
• Support the evaluation of third-party fraud prevention providers, bringing data-driven criteria to vendor assessments.
• Collaborate with Data and Analytics Engineering to ensure fraud-related data is tracked, governed, and handled in line with PII requirements.

Senior Data Analyst – Fraud Prevention

• 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.

• 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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Data Analyst jobs in Spain

See all jobs on JobTailor

HR Data Analyst Intern

Tax Analyst, Data

Senior Manager, Product Data Analyst

Digital Analytics Specialist

Data Analyst Consultant

Analista de Datos

Senior Data Analyst

Energy Data Analyst

Quantitative Analyst, Math, Physics, Engineering

Data Analytics Analyst – SAS

Senior Data Analyst – Fraud Prevention

Process and Data Analyst

Senior Data Analyst

Data Analyst

Staff Product Data Analyst