Data Science
hace 3 semanas
Tu Rol: El Data Science & Process Automation Lead es responsable de diseñar, impulsar, ejecutar y liderar iniciativas avanzadas de gestión de datos y automatización de procesos dentro de Healthcare Commercial. Este rol es crucial para impulsar la innovación, mejorar la eficiencia operativa y apoyar la toma de decisiones estratégicas a través del análisis avanzado de datos y tecnologías de automatización.
Funciones y Responsabilidades:
Innovación en Automatización de Procesos:
Identificar y ejecutar oportunidades de automatización en procesos comerciales y médicos utilizando herramientas avanzadas como Power Automate. Desarrollar y implementar modelos de automatización que mejoren la eficiencia operativa y reduzcan el tiempo de respuesta en procesos clave.
Gestión del Business Warehouse:
Responsable de la plataforma de business warehouse, asegurando su correcto funcionamiento y evolucionándola para responder a las cambiantes necesidades del negocio trabajando de manera estrecha con el equipo de IT y los distintos equipos de Global involucrados en el mantenimiento de esta. Implementar mejoras y funcionalidades nuevas que maximicen el valor de los datos.
Análisis de Datos Avanzado:
Utilizar técnicas de data science para analizar conjuntos de datos complejos, proporcionar insights y recomendaciones estratégicas para mejorar el rendimiento operativo y dar soporte a la toma de decisiones. Diseñar y ejecutar modelos predictivos y prescriptivos para facilitar la toma de decisiones basada en datos y tener un mejor entendimiento de las tendencias a futuro.
Liderazgo en Gestión de Datos:
Establecer y mantener políticas de gobernanza de datos para garantizar la calidad y seguridad de los datos dentro de la organización. Supervisar la integración, almacenamiento y accesibilidad de los datos para asegurar su disponibilidad para análisis en tiempo real.
Colaboración y Comunicación:
Trabajar estrechamente con equipos multidisciplinares, principalmente con Business Excellence y Strategic Insights & Forecasting Teams, para asegurar que las soluciones de datos y procesos satisfacen las necesidades de negocio. Actuar como puente entre la tecnología y las operaciones comerciales para garantizar que los proyectos de innovación sean comprendidos y adoptados.
Educación y Capacitación:
Capacitar y liderar a los equipos en la adopción y uso efectivo de tecnologías de datos y procesos. Organizar sesiones de formación y workshops para mejorar las habilidades del personal en áreas relacionadas con la ciencia de datos y la automatización.
Quien Eres:
Grado en Ciencias de la Computación, Estadísticas, Ingeniería o campo relacionado. Muy valorable formación en Business Analytics, Machine Learning, Data Science o Big Data.
Mínimo 3 años de experiencia en ciencia de datos, gestión de datos o automatización de procesos, preferiblemente en la industria farmacéutica.
Excelentes conocimientos de Python o R, experiencia en Power Automate y plataformas de Business Intelligence como QlikSense, Tableau y PowerBI.
Familiaridad con Palantir Technologies como un plus para la gestión y análisis de datos complejos.
Excelentes habilidades de comunicación, liderazgo probado y capacidad para trabajar efectivamente en un entorno colaborativo y multidisciplinario.
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