
201 - 500 employees
Founded 2005
🤝 B2B
🤖 Artificial Intelligence
🏢 Enterprise
B2B • Artificial Intelligence • Enterprise
SQDM is a Latin America–based IT services and talent provider that helps enterprises implement and manage Salesforce ecosystems, Boomi integrations, intelligent process automation (BPM and RPA), business intelligence and AI solutions. The company operates as a software factory offering quality assurance, custom development, and nearshore bilingual teams aligned with U. S. time zones, and brings nearly 20 years of experience serving sectors like telecom, insurance and education.
🔥 0 minutes ago
🗣️🇪🇸 Spanish Required
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201 - 500 employees
Founded 2005
🤝 B2B
🤖 Artificial Intelligence
🏢 Enterprise
B2B • Artificial Intelligence • Enterprise
SQDM is a Latin America–based IT services and talent provider that helps enterprises implement and manage Salesforce ecosystems, Boomi integrations, intelligent process automation (BPM and RPA), business intelligence and AI solutions. The company operates as a software factory offering quality assurance, custom development, and nearshore bilingual teams aligned with U. S. time zones, and brings nearly 20 years of experience serving sectors like telecom, insurance and education.
• Transformar datos en información estratégica para la toma de decisiones. • Desarrollar dashboards, modelos de datos y soluciones analíticas.
• Más de 5 años de experiencia en BI, Analítica de Datos o Reporting. • Más de 3 años desarrollando soluciones empresariales con Power BI. • Experiencia avanzada en Power BI Desktop, Power BI Service, DAX y Power Query. • Sólidos conocimientos en SQL Server y Data Warehouse. • Experiencia trabajando con usuarios de negocio y stakeholders. • Inglés avanzado conversacional y escrito (indispensable). • Capacidad para levantar requerimientos y convertirlos en soluciones analíticas. • Será un plus contar con experiencia en: Microsoft Azure, Microsoft Fabric, Power Platform (Power Apps y Power Automate), Qlik Sense o QlikView, IA aplicada a Power BI, Gobierno de datos, Entornos industriales o manufactureros.
• Flexibilidad laboral
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