Data Analyst
Confirmed live in the last 24 hours
VML (Wunderman Thompson)
Job Description
Who We Are
VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML’s specialist health network, VML Health, is one of the world’s largest and most awarded health agencies. VML’s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney.
About WPP
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
- Analizar datos provenientes de diferentes fuentes digitales y de negocio para identificar patrones, oportunidades y riesgos.
- Construir reportes y dashboards que faciliten la lectura y entendimiento del desempeño de campañas y activos digitales
- Traducir datos complejos en insights claros y recomendaciones accionables para equipos de estrategia, cuentas y creatividad.
- Monitorear KPIs y métricas clave, asegurando consistencia y calidad en la información reportada.
- Apoyar la optimización de campañas y estrategias a partir del análisis de resultados.
- Colaborar con equipos internos para definir requerimientos de medición y seguimiento.
- Asegurar buenas prácticas en el manejo, visualización y presentación de datos.
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