Experteer Overview In this role you contribute to strengthening Health u0026amp; Safety data governance,analytics and digital tools across Schneider Electric. You will work with Safety experts, regional teams and IT stakeholders to improve data quality, deliver insights and support the integral safety digital solutions. You’ll combine data analytics with business collaboration in an international setting as part of the digital safety transformation. You will help shape governance practices and enable proactive safety actions with data-driven insights.Compensaciones / Beneficios
- Data quality u0026 governance: ensure data standards, validation rules and monitoring; improve governance documentation
- Data integration u0026 analysis: consolidate data from multiple Health u0026 Safety systems and drive reliable views of safety performance
- Dashboards u0026 business insights: build dashboards and visuals; derive trends and risk indicators
- Advanced analytics u0026 AI:
contribute to statistical analysis, modelling and explore ML/AI for pattern detection and predictive insights
- Business partnering u0026 application support: translate user needs to data/analytics opportunities and support tool adoption across regionsResponsabilidades
- Master's degree in relevant field
- Initial experience in data analytics, statistics, ML or AI
- Strong data management knowledge across multiple sources
- Experience with data visualization and dashboards
- Ability to translate data findings into business insights
- Interest in Health u0026 Safety, ESG, risk or digital transformation
- Strong analytical and problem-solving skills
- Good communication and collaboration in an international environment
- Fluent English for global collaborationRequisitos principales
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📌 Vie - Data & Application Analyst - Madrid (San Sebastián de los Reyes)
🏢 Schneider Electric
📍 San Sebastián de los Reyes
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.