Data Analyst en Azure

hace 5 meses


Monterrey, México ISITA A tiempo completo

Se requiere un Analista de Datos en Azure para diseñar soluciones para extracción, tratamiento, almacenamiento y visualización de datos. Este servicio debe realizar el procesamiento de grandes volúmenes de información, analizar los datos para tomar decisiones de manera acertada, automatización de reportes y diseño de arquitectura de datos.

Conocimientos necesarios:

- Al menos 4 años de experiência en diseño de soluciones de datos y analíticos basadas en requisitos de usuario para tratamiento, almacenamiento y visualización de datos con tecnología en la nube de Azure.
- Experiência utilizando lenguajes de programación con un enfoque estadístico (R, Python).
- Experiência avanzada consultando datos (SQL), procesos ETL y realizando análisis (Excel/Google Sheets).
- Creación, desarrollo y mantenimiento de indicadores y dashboards para proporcionar información escalable.
- Programación de tratamiento e integración de datos en Azure Data Factory, Integration Services, Azure SQL Server (Data Lake Storage, Azure Blob Storage, Azure Synapse Analytics).
- Comprensión fundamental de los datos, tablas, flujos de datos y arquitectura de datos.
- Elaboración de diseños, diagramas de tratamiento de datos, modelado de datos para Data Warehousing.
- Diseño de repositorios utilizando técnicas de Data Warehousing y Big Data.
- Aseguramiento de la calidad de los datos tratados y acorde a la calidad de su origen.

**Responsabilidades**:

- Diseño y desarrollo de Dashboards.
- Utilizar herramientas de BI.
- Diseñar y mantener un repositorio centralizado de datos.
- Integrar los datos de múltiples fuentes en un Data Warehouse.
- Asegurar la calidad de los datos.
- Aplicar la metodología de DAMA Internacional (Certificación CDMP).
- Trabajar bajo la norma ISO-8000 para la gestión y administración de los datos.

Actividades diarias:

- Los requerimientos de las iniciativas tienen que ser atendidas bajo la Metodología Ágil.
- Mantener documentación completa del proyecto.
- Participar y apoyar las liberaciones a QA y Productivas, si se requiere.
- Pensamiento crítico, análisis y resolución de problemas para obtener conclusiones y recomendaciones a partir de datos.
- Capacidad para trabajar de forma independiente y al mismo tiempo poder colaborar eficazmente en un entorno grupal.


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