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# Data Analyst

- **Company:** BETWEEN TECHNOLOGY
- **Location:** Sant Cugat del Vallès, Spain
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Amazon Web Services, Microsoft Azure, Cloud Computing, Data Transformation, Python (Programming Language), Machine Learning, SQL Azure, NumPy, Power BI, SQL Databases, Microsoft Power Automate, Azure Data Factory, Powerquery, Pandas, Scikit Learn, Information Technology, Data Analytics, Powerapps
- **Published:** September 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b0d45675a94e6a7b

## About the Role

Seguro médico: cobertura médica privada para empleados., * Formación en Ingeniería, Matemáticas, Estadística, Data Analytics, Informática o similar.

 * Dominio del inglés (avanzado/bilingüe) y español.
 * +2 años de experiencia en Data Analytics / BI.
 * Experiencia con:
 * Power BI, DAX y Power Query
 * SQL
 * Excel avanzado
 * Python (Pandas, NumPy)
 * Conocimientos básicos de IA / Machine Learning.
 * Capacidad analítica, atención al detalle y orientación a mejora continua.
 * Buenas habilidades de comunicación y trabajo en equipo., * Power Automate / Power Apps.
 * Microsoft Azure / Fabric, Azure Data Factory o Azure SQL.
 * Scikit-learn, modelos predictivos o forecasting.
 * Experiencia con otros entornos cloud (AWS / GCP).

## Description

Trabajamos con clientes líderes, desarrollando soluciones tecnológicas en Infraestructura, Cloud, Software, Project Management y muchas otras áreas., * Recopilar, limpiar y estructurar datos de diferentes fuentes.

 * Elaborar reporting operativo y ejecutivo y análisis de KPIs.
 * Crear y mantener dashboards en Power BI, incluyendo DAX y Power Query.
 * Realizar consultas y transformación de datos mediante SQL.
 * Desarrollar análisis y automatizaciones con Python (Pandas, NumPy).
 * Identificar oportunidades de automatización utilizando Power Automate / Power Apps.
 * Participar en iniciativas de IA y Machine Learning aplicadas al negocio.
 * Trabajar con equipos de Business, PMO y Tecnología para traducir necesidades en soluciones de datos.


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