BI Developer - Supplier Quality Dashboards & Insights

Daimler Vehículos Comerciales Mexico, S. de R.L. de C.V.; Ciudad de México; Presencial; MXN 300.000 - 540.000; Jornada completa

Descripción de la vacante

Daimler Truck AG is seeking a data and analytics professional to support the Supplier Quality department by turning quality data into actionable insights. You will build and optimize Power BI and Tableau datasets, collaborate with cross-functional teams, and deliver executive-ready analyses.

Responsibilities include developing data models, maintaining documentation, and training users. Strong SQL, data governance, and communication skills are essential to enable data-driven decisions across

Formación

• Familiarity with BI platforms Power BI and Tableau.
• Snowflake or similar cloud data platforms.
• Basic to intermediate SQL skills.
• Knowledge of data governance concepts.
• Ability to transform complex data into actionable insights.

Responsabilidades

• Build, optimize, and maintain Power BI datasets and Tableau data sources.
• Coordinate requirements with Supplier Quality and cross-functional stakeholders.
• Transform data into executive-friendly insights and identify performance trends.
• Provide user training and maintain documentation for report logic and data definitions.

Conocimientos

Analytical mindset

Communication

Problem solving

Project management

English proficiency

Educación

Bachelor’s degree in information systems, Computer Science, Data Analytics, Engineering

Herramientas

Power BI

Tableau

Snowflake

SQL

Descripción del empleo

Daimler Truck AG is seeking a data and analytics professional to support the Supplier Quality department by turning quality data into actionable insights. You will build and optimize Power BI and Tableau datasets, collaborate with cross-functional teams, and deliver executive-ready analyses.

Responsibilities include developing data models, maintaining documentation, and training users. Strong SQL, data governance, and communication skills are essential to enable data-driven decisions across