Google Analytics and Martech

hace 2 semanas


Bogotá, Bogotá D.E., Colombia Cruz Verde Colombia A tiempo completo

"Sabemos que desarrollar el talento de nuestros colaboradores/as es la mejor manera degenerar valor, por eso en CRUZ VERDE FEMSA construimos un entorno labora inclusivo, diverso y global para formar los mejores colaboradores, líderes y personas. No es necesario que agregues fotografía al CV, tu talento es lo más valioso"

Únete a nuestro equipo

Nos encontramos en búsqueda de profesionales en Ingeniería Civil Industrial, Ingeniería Civil Informático, Ingeniería comercial, Ingeniero Civil en computación o carreras afines que cuenten con una experiencia mínima de 3 años cómo Analista de áreas Digitales / eCommerce / Experiencia previa relacionada con Marketing Digital / Growth marketing (SEM, SEO, SMM, Display, Retargeting, etc; con el fin de dirigir la vista funcional de la definición, implementación, adopción y gestión de la analítica digital y de la infraestructura tecnológica del ecosistema digital, asegurando control de calidad, cumplimiento regulatorio, estandarización, integración, optimización y explotación de las distintas plataformas que componen el ecosistema tecnológico de ND.

Requerimientos:


• Dominio avanzado de Google Analytics y Google Tag Manager. Deseable certificación en GA4, experiencia con GA360 y con GCP (Google Cloud Platform).


• Dominio avanzado de herramientas de visualización (Looker Studio, Tableau, Power BI o similares)


• Conocimientos de programación web (HTML/CSS/JavaScript) y SQL.


• Deseable experiencia con APIs.


• Dominio avanzado de Excel


• Conocimientos inglés nivel medio.


• Conocimiento y/o experiencia en Google Tag Manager.


• Uso nivel usuario de BigQuery y Google Cloud Storage (Google Cloud Platform)


• Conocimientos y/o experiencia de Business manager de Meta (configuración de catálogos, eventos, app en Facebook developer)


• Conocimiento en AppsFlyer.


• Entendimiento de lo que es una API y cómo funciona.


• Conocimientos básicos-intermedios en Python o R.


• SQL intermedio – avanzado.


• Entendimiento de herramientas de A/B test.


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