Automotive Data Analytics & Dashboards Lead

SEGULA Technologies; Ciudad de México; Presencial; MXN 320.000 - 520.000; Jornada completa

Descripción de la vacante

SEGULA Technologies is seeking an Engineering Operations Data Analyst to transform complex engineering data into concise visual reports and executive summaries for vehicle development programs. You will benchmark competitors, support leadership with dashboards, and streamline data flows across multidisciplinary teams.

You will manage operational metrics, validation tracking, and cross-functional data consolidation, enabling fast, data-informed decisions in a dynamic automotive environment.

Formación

• Bachelor’s degree in Engineering, Data Analytics, Operations Research, or related field.
• 1–3+ years in data analytics, program management, or benchmarking in automotive/aerospace/industrial engineering environments.
• Proficiency with Excel modeling, macros, Power BI/Tableau, and PowerPoint.

Responsabilidades

• Conduct competitive benchmarking and analyses to guide vehicle synthesis strategies.
• Build and deliver executive dashboards, presentations, and technical summaries for leadership.
• Track operations, validation plans, and vehicle development metrics to support decision-making.
• Consolidate data from multiple engineering and validation streams into a single source of truth.
• Identify risks and bottlenecks to drive continuous process improvement.

Conocimientos

Data visualization

Power BI

Excel

Tableau

Technical communication

Educación

Bachelor’s degree in Engineering or Data Analytics

Herramientas

Power BI

Tableau

Excel

PowerPoint

Descripción del empleo

SEGULA Technologies is seeking an Engineering Operations Data Analyst to transform complex engineering data into concise visual reports and executive summaries for vehicle development programs. You will benchmark competitors, support leadership with dashboards, and streamline data flows across multidisciplinary teams.

You will manage operational metrics, validation tracking, and cross-functional data consolidation, enabling fast, data-informed decisions in a dynamic automotive environment.