Databricks Analytics & Dashboards Engineer

General Motors; Ciudad de México; Híbrido; MXN 800.000 - 1.200.000; Jornada completa

Descripción de la vacante

General Motors seeks an experienced analytics professional to design, build, and maintain executive dashboards using Databricks SQL. You will partner with data engineers to optimize data models for performance and storytelling across senior stakeholders.

With 5+ years in BI or analytics and advanced English, you will collaborate across data, architecture, and product teams. Hybrid Mexico City role with 15-20% travel and a focus on scalable analytics.

Formación

• Bachelor's degree or equivalent experience in a related field.
• 5+ years of analytics/report development, BI, or data visualization experience.
• Advanced English communication skills.

Responsabilidades

• Design, build, and maintain executive dashboards and reports using Databricks SQL.
• Collaborate with data engineers to define optimized data models for performance and scalability.
• Develop solutions for data analytics.
• Investigate performance issues and apply data-driven remedies.
• Configure role-based access and data security in dashboards and semantic models.
• Monitor and tune report performance and suggest data model changes.
• Apply strong analytical judgment for complex problems.

Conocimientos

Databricks

SQL

Python

Power BI

Communication

Cross-functional collaboration

Travel availability

English Advanced

Educación

Bachelor's degree in Computer Science / Information Systems / Data Science / Engineering

Herramientas

Databricks

Power BI

SQL

Descripción del empleo

General Motors seeks an experienced analytics professional to design, build, and maintain executive dashboards using Databricks SQL. You will partner with data engineers to optimize data models for performance and storytelling across senior stakeholders.

With 5+ years in BI or analytics and advanced English, you will collaborate across data, architecture, and product teams. Hybrid Mexico City role with 15-20% travel and a focus on scalable analytics.